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Wang Z, Luo G, Li Y, Cao P. Using a deep learning prior for accelerating hyperpolarized 13C MRSI on synthetic cancer datasets. Magn Reson Med 2024; 92:945-955. [PMID: 38440832 DOI: 10.1002/mrm.30053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 01/30/2024] [Accepted: 01/30/2024] [Indexed: 03/06/2024]
Abstract
PURPOSE We aimed to incorporate a deep learning prior with k-space data fidelity for accelerating hyperpolarized carbon-13 MRSI, demonstrated on synthetic cancer datasets. METHODS A two-site exchange model, derived from the Bloch equation of MR signal evolution, was firstly used in simulating training and testing data, that is, synthetic phantom datasets. Five singular maps generated from each simulated dataset were used to train a deep learning prior, which was then employed with the fidelity term to reconstruct the undersampled MRI k-space data. The proposed method was assessed on synthetic human brain tumor images (N = 33), prostate cancer images (N = 72), and mouse tumor images (N = 58) for three undersampling factors and 2.5% additive Gaussian noise. Furthermore, varied levels of Gaussian noise with SDs of 2.5%, 5%, and 10% were added on synthetic prostate cancer data, and corresponding reconstruction results were evaluated. RESULTS For quantitative evaluation, peak SNRs were approximately 32 dB, and the accuracy was generally improved for 5 to 8 dB compared with those from compressed sensing with L1-norm regularization or total variation regularization. Reasonable normalized RMS error were obtained. Our method also worked robustly against noise, even on a data with noise SD of 10%. CONCLUSION The proposed singular value decomposition + iterative deep learning model could be considered as a general framework that extended the application of deep learning MRI reconstruction to metabolic imaging. The morphology of tumors and metabolic images could be measured robustly in six times acceleration using our method.
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Affiliation(s)
- Zuojun Wang
- Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, People's Republic of China
| | - Guanxiong Luo
- Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany
| | - Ye Li
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology of Chinese Academy of Sciences, Shenzhen, People's Republic of China
| | - Peng Cao
- Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, People's Republic of China
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Larson PEZ, Bernard JML, Bankson JA, Bøgh N, Bok RA, Chen AP, Cunningham CH, Gordon J, Hövener JB, Laustsen C, Mayer D, McLean MA, Schilling F, Slater J, Vanderheyden JL, von Morze C, Vigneron DB, Xu D. Current methods for hyperpolarized [1- 13C]pyruvate MRI human studies. Magn Reson Med 2024; 91:2204-2228. [PMID: 38441968 PMCID: PMC10997462 DOI: 10.1002/mrm.29875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 08/12/2023] [Accepted: 09/06/2023] [Indexed: 03/07/2024]
Abstract
MRI with hyperpolarized (HP) 13C agents, also known as HP 13C MRI, can measure processes such as localized metabolism that is altered in numerous cancers, liver, heart, kidney diseases, and more. It has been translated into human studies during the past 10 years, with recent rapid growth in studies largely based on increasing availability of HP agent preparation methods suitable for use in humans. This paper aims to capture the current successful practices for HP MRI human studies with [1-13C]pyruvate-by far the most commonly used agent, which sits at a key metabolic junction in glycolysis. The paper is divided into four major topic areas: (1) HP 13C-pyruvate preparation; (2) MRI system setup and calibrations; (3) data acquisition and image reconstruction; and (4) data analysis and quantification. In each area, we identified the key components for a successful study, summarized both published studies and current practices, and discuss evidence gaps, strengths, and limitations. This paper is the output of the "HP 13C MRI Consensus Group" as well as the ISMRM Hyperpolarized Media MR and Hyperpolarized Methods and Equipment study groups. It further aims to provide a comprehensive reference for future consensus, building as the field continues to advance human studies with this metabolic imaging modality.
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Affiliation(s)
- Peder EZ Larson
- Department of Radiology and Biomedical Imaging, University
of California, San Francisco, CA 94143, USA
- UC Berkeley-UCSF Graduate Program in Bioengineering,
University of California, San Francisco and University of California, Berkeley, CA
94143, USA
| | - Jenna ML Bernard
- Department of Radiology and Biomedical Imaging, University
of California, San Francisco, CA 94143, USA
| | - James A Bankson
- Department of Imaging Physics, MD Anderson Medical Center,
Houston, TX, USA
| | - Nikolaj Bøgh
- The MR Research Center, Department of Clinical Medicine,
Aarhus University, Aarhus, Denmark
| | - Robert A Bok
- Department of Radiology and Biomedical Imaging, University
of California, San Francisco, CA 94143, USA
| | | | - Charles H Cunningham
- Physical Sciences, Sunnybrook Research Institute, Toronto,
Ontario, Canada
- Department of Medical Biophysics, University of Toronto,
Toronto, Ontario, Canada
| | - Jeremy Gordon
- Department of Radiology and Biomedical Imaging, University
of California, San Francisco, CA 94143, USA
| | - Jan-Bernd Hövener
- Section Biomedical Imaging, Molecular Imaging North
Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University
Medical Center Schleswig-Holstein (UKSH), Kiel University, Am Botanischen Garten 14,
24118, Kiel, Germany
| | - Christoffer Laustsen
- The MR Research Center, Department of Clinical Medicine,
Aarhus University, Aarhus, Denmark
| | - Dirk Mayer
- Department of Diagnostic Radiology and Nuclear Medicine,
University of Maryland School of Medicine, Baltimore, MD, USA
- Greenebaum Cancer Center, University of Maryland School
of Medicine, Baltimore, MD, USA
| | - Mary A McLean
- Department of Radiology, University of Cambridge,
Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of
Cambridge, Li Ka Shing Center, Cambridge, United Kingdom
| | - Franz Schilling
- Department of Nuclear Medicine, School of Medicine,
Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich,
Germany
| | - James Slater
- Department of Radiology and Biomedical Imaging, University
of California, San Francisco, CA 94143, USA
| | | | | | - Daniel B Vigneron
- Department of Radiology and Biomedical Imaging, University
of California, San Francisco, CA 94143, USA
- UC Berkeley-UCSF Graduate Program in Bioengineering,
University of California, San Francisco and University of California, Berkeley, CA
94143, USA
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, University
of California, San Francisco, CA 94143, USA
- UC Berkeley-UCSF Graduate Program in Bioengineering,
University of California, San Francisco and University of California, Berkeley, CA
94143, USA
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Frijia F, Flori A, Giovannetti G, Barison A, Menichetti L, Santarelli MF, Positano V. MRI Application and Challenges of Hyperpolarized Carbon-13 Pyruvate in Translational and Clinical Cardiovascular Studies: A Literature Review. Diagnostics (Basel) 2024; 14:1035. [PMID: 38786333 PMCID: PMC11120300 DOI: 10.3390/diagnostics14101035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 05/06/2024] [Accepted: 05/14/2024] [Indexed: 05/25/2024] Open
Abstract
Cardiovascular disease shows, or may even be caused by, changes in metabolism. Hyperpolarized magnetic resonance spectroscopy and imaging is a technique that could assess the role of different aspects of metabolism in heart disease, allowing real-time metabolic flux assessment in vivo. In this review, we introduce the main hyperpolarization techniques. Then, we summarize the use of dedicated radiofrequency 13C coils, and report a state of the art of 13C data acquisition. Finally, this review provides an overview of the pre-clinical and clinical studies on cardiac metabolism in the healthy and diseased heart. We furthermore show what advances have been made to translate this technique into the clinic in the near future and what technical challenges still remain, such as exploring other metabolic substrates.
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Affiliation(s)
- Francesca Frijia
- Bioengineering Unit, Fondazione Toscana G. Monasterio, 56124 Pisa, Italy; (A.F.); (V.P.)
| | - Alessandra Flori
- Bioengineering Unit, Fondazione Toscana G. Monasterio, 56124 Pisa, Italy; (A.F.); (V.P.)
| | - Giulio Giovannetti
- Institute of Clinical Physiology, National Research Council (CNR), 56124 Pisa, Italy; (G.G.); (L.M.); (M.F.S.)
| | - Andrea Barison
- Cardiology and Cardiovascular Medicine Unit, Fondazione Toscana G. Monasterio, 56124 Pisa, Italy;
| | - Luca Menichetti
- Institute of Clinical Physiology, National Research Council (CNR), 56124 Pisa, Italy; (G.G.); (L.M.); (M.F.S.)
| | - Maria Filomena Santarelli
- Institute of Clinical Physiology, National Research Council (CNR), 56124 Pisa, Italy; (G.G.); (L.M.); (M.F.S.)
| | - Vincenzo Positano
- Bioengineering Unit, Fondazione Toscana G. Monasterio, 56124 Pisa, Italy; (A.F.); (V.P.)
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Lai YC, Hsieh CY, Juan YH, Lu KY, Lee HJ, Ng SH, Wan YL, Lin G. Hyperpolarized Carbon-13 Magnetic Resonance Imaging: Technical Considerations and Clinical Applications. Korean J Radiol 2024; 25:459-472. [PMID: 38685736 PMCID: PMC11058429 DOI: 10.3348/kjr.2024.0069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 02/17/2024] [Accepted: 02/27/2024] [Indexed: 05/02/2024] Open
Abstract
Hyperpolarized (HP) carbon-13 (13C) MRI represents an innovative approach for noninvasive, real-time assessment of dynamic metabolic flux, with potential integration into routine clinical MRI. The use of [1-13C]pyruvate as a probe and its conversion to [1-13C]lactate constitute an extensively explored metabolic pathway. This review comprehensively outlines the establishment of HP 13C-MRI, covering multidisciplinary team collaboration, hardware prerequisites, probe preparation, hyperpolarization techniques, imaging acquisition, and data analysis. This article discusses the clinical applications of HP 13C-MRI across various anatomical domains, including the brain, heart, skeletal muscle, breast, liver, kidney, pancreas, and prostate. Each section highlights the specific applications and findings pertinent to these regions, emphasizing the potential versatility of HP 13C-MRI in diverse clinical contexts. This review serves as a comprehensive update, bridging technical aspects with clinical applications and offering insights into the ongoing advancements in HP 13C-MRI.
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Affiliation(s)
- Ying-Chieh Lai
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Ching-Yi Hsieh
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Research Center for Radiation Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Hsiang Juan
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
| | - Kuan-Ying Lu
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Hsien-Ju Lee
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Shu-Hang Ng
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
| | - Yung-Liang Wan
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
| | - Gigin Lin
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Research Center for Radiation Medicine, Chang Gung University, Taoyuan, Taiwan.
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Chen HY, Gordon JW, Dwork N, Chung BT, Riselli A, Sivalokanathan S, Bok RA, Slater JB, Vigneron DB, Abraham MR, Larson PEZ. Probing human heart TCA cycle metabolism and response to glucose load using hyperpolarized [2- 13 C]pyruvate MRS. NMR IN BIOMEDICINE 2024; 37:e5074. [PMID: 38054254 DOI: 10.1002/nbm.5074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 10/22/2023] [Accepted: 10/24/2023] [Indexed: 12/07/2023]
Abstract
INTRODUCTION The healthy heart has remarkable metabolic flexibility that permits rapid switching between mitochondrial glucose oxidation and fatty acid oxidation to generate ATP. Loss of metabolic flexibility has been implicated in the genesis of contractile dysfunction seen in cardiomyopathy. Metabolic flexibility has been imaged in experimental models, using hyperpolarized (HP) [2-13 C]pyruvate MRI, which enables interrogation of metabolites that reflect tricarboxylic acid (TCA) cycle flux in cardiac myocytes. This study aimed to develop methods, demonstrate feasibility for [2-13 C]pyruvate MRI in the human heart for the first time, and assess cardiac metabolic flexibility. METHODS Good manufacturing practice [2-13 C]pyruvic acid was polarized in a 5 T polarizer for 2.5-3 h. Following dissolution, quality control parameters of HP pyruvate met all safety and sterility criteria for pharmacy release, prior to administration to study subjects. Three healthy subjects each received two HP injections and MR scans, first under fasting conditions, followed by oral glucose load. A 5 cm axial slab-selective spectroscopy approach was prescribed over the left ventricle and acquired at 3 s intervals on a 3 T clinical MRI scanner. RESULTS The study protocol, which included HP substrate injection, MR scanning, and oral glucose load, was performed safely without adverse events. Key downstream metabolites of [2-13 C]pyruvate metabolism in cardiac myocytes include the glycolytic derivative [2-13 C]lactate, TCA-associated metabolite [5-13 C]glutamate, and [1-13 C]acetylcarnitine, catalyzed by carnitine acetyltransferase (CAT). After glucose load, 13 C-labeling of lactate, glutamate, and acetylcarnitine from 13 C-pyruvate increased by an average of 39.3%, 29.5%, and 114% respectively in the three subjects, which could result from increases in lactate dehydrogenase, pyruvate dehydrogenase, and CAT enzyme activity as well as TCA cycle flux (glucose oxidation). CONCLUSIONS HP [2-13 C]pyruvate imaging is safe and permits noninvasive assessment of TCA cycle intermediates and the acetyl buffer, acetylcarnitine, which is not possible using HP [1-13 C]pyruvate. Cardiac metabolite measurement in the fasting/fed states provides information on cardiac metabolic flexibility and the acetylcarnitine pool.
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Affiliation(s)
- Hsin-Yu Chen
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Jeremy W Gordon
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Nicholas Dwork
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Brian T Chung
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Andrew Riselli
- School of Pharmacy, University of California, San Francisco, California, USA
| | | | - Robert A Bok
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - James B Slater
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Daniel B Vigneron
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - M Roselle Abraham
- Division of Cardiology, University of California, San Francisco, California, USA
| | - Peder E Z Larson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
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Liu X, Cui D, Xu D, Bok R, Wang ZJ, Vigneron DB, Larson PEZ, Gordon JW. Dynamic T 2 * relaxometry of hyperpolarized [1- 13 C]pyruvate MRI in the human brain and kidneys. Magn Reson Med 2024; 91:1030-1042. [PMID: 38013217 PMCID: PMC10872504 DOI: 10.1002/mrm.29942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/07/2023] [Accepted: 11/08/2023] [Indexed: 11/29/2023]
Abstract
PURPOSE This study aimed to quantifyT 2 * $$ {T}_2^{\ast } $$ for hyperpolarized [1-13 C]pyruvate and metabolites in the healthy human brain and renal cell carcinoma (RCC) patients at 3 T. METHODS DynamicT 2 * $$ {T}_2^{\ast } $$ values were measured with a metabolite-specific multi-echo spiral sequence. The dynamicT 2 * $$ {T}_2^{\ast } $$ of [1-13 C]pyruvate, [1-13 C]lactate, and 13 C-bicarbonate was estimated in regions of interest in the whole brain, sinus vein, gray matter, and white matter in healthy volunteers, as well as in kidney tumors and the contralateral healthy kidneys in a separate group of RCC patients.T 2 * $$ {T}_2^{\ast } $$ was fit using a mono-exponential function; and metabolism was quantified using pyruvate-to-lactate conversion rate maps and lactate-to-pyruvate ratio maps, which were compared with and without an estimatedT 2 * $$ {T}_2^{\ast } $$ correction. RESULTS TheT 2 * $$ {T}_2^{\ast } $$ of pyruvate was shown to vary during the acquisition, whereas theT 2 * $$ {T}_2^{\ast } $$ of lactate and bicarbonate were relatively constant through time and across the organs studied. TheT 2 * $$ {T}_2^{\ast } $$ of lactate was similar in gray matter (29.75 ± 1.04 ms), white matter (32.89 ± 0.9 ms), healthy kidney (34.61 ± 4.07 ms), and kidney tumor (33.01 ± 2.31 ms); and theT 2 * $$ {T}_2^{\ast } $$ of bicarbonate was different between whole-brain (108.17 ± 14.05 ms) and healthy kidney (58.45 ± 6.63 ms). TheT 2 * $$ {T}_2^{\ast } $$ of pyruvate had similar trends in both brain and RCC studies, reducing from 75.56 ± 2.23 ms to 22.24 ± 1.24 ms in the brain and reducing from 122.72 ± 9.86 ms to 57.38 ± 7.65 ms in the kidneys. CONCLUSION Multi-echo dynamic imaging can quantifyT 2 * $$ {T}_2^{\ast } $$ and metabolism in a single integrated acquisition. Clear differences were observed in theT 2 * $$ {T}_2^{\ast } $$ of metabolites and in their behavior throughout the timecourse.
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Affiliation(s)
- Xiaoxi Liu
- Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Di Cui
- Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Duan Xu
- Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Robert Bok
- Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Zhen J Wang
- Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Daniel B Vigneron
- Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Graduate Program in Bioengineering, University of California, Berkeley and San Francisco, California, USA
| | - Peder E Z Larson
- Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Graduate Program in Bioengineering, University of California, Berkeley and San Francisco, California, USA
| | - Jeremy W Gordon
- Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
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Wodtke P, Grashei M, Schilling F. Quo Vadis Hyperpolarized 13C MRI? Z Med Phys 2023:S0939-3889(23)00120-4. [PMID: 38160135 DOI: 10.1016/j.zemedi.2023.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 10/16/2023] [Accepted: 10/20/2023] [Indexed: 01/03/2024]
Abstract
Over the last two decades, hyperpolarized 13C MRI has gained significance in both preclinical and clinical studies, hereby relying on technologies like PHIP-SAH (ParaHydrogen-Induced Polarization-Side Arm Hydrogenation), SABRE (Signal Amplification by Reversible Exchange), and dDNP (dissolution Dynamic Nuclear Polarization), with dDNP being applied in humans. A clinical dDNP polarizer has enabled studies across 24 sites, despite challenges like high cost and slow polarization. Parahydrogen-based techniques like SABRE and PHIP offer faster, more cost-efficient alternatives but require molecule-specific optimization. The focus has been on imaging metabolism of hyperpolarized probes, which requires long T1, high polarization and rapid contrast generation. Efforts to establish novel probes, improve acquisition techniques and enhance data analysis methods including artificial intelligence are ongoing. Potential clinical value of hyperpolarized 13C MRI was demonstrated primarily for treatment response assessment in oncology, but also in cardiology, nephrology, hepatology and CNS characterization. In this review on biomedical hyperpolarized 13C MRI, we summarize important and recent advances in polarization techniques, probe development, acquisition and analysis methods as well as clinical trials. Starting from those we try to sketch a trajectory where the field of biomedical hyperpolarized 13C MRI might go.
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Affiliation(s)
- Pascal Wodtke
- Department of Nuclear Medicine, TUM School of Medicine and Health, Klinikum rechts der Isar of Technical University of Munich, 81675 Munich, Germany; Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge UK
| | - Martin Grashei
- Department of Nuclear Medicine, TUM School of Medicine and Health, Klinikum rechts der Isar of Technical University of Munich, 81675 Munich, Germany
| | - Franz Schilling
- Department of Nuclear Medicine, TUM School of Medicine and Health, Klinikum rechts der Isar of Technical University of Munich, 81675 Munich, Germany; Munich Institute of Biomedical Engineering, Technical University of Munich, 85748 Garching, Germany; German Cancer Consortium (DKTK), Partner Site Munich and German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg 69120, Germany.
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Chen HY, Gordon JW, Dwork N, Chung BT, Riselli A, Sivalokanathan S, Bok RA, Slater JB, Vigneron DB, Abraham MR, Larson PE. Probing Human Heart TCA Cycle Metabolism and Response to Glucose Load using Hyperpolarized [2- 13C]Pyruvate MR Spectroscopy. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.10.16.23297053. [PMID: 37905131 PMCID: PMC10615004 DOI: 10.1101/2023.10.16.23297053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Introduction The normal heart has remarkable metabolic flexibility that permits rapid switching between mitochondrial glucose oxidation and fatty acid (FA) oxidation to generate ATP. Loss of metabolic flexibility has been implicated in the genesis of contractile dysfunction seen in cardiomyopathy. Metabolic flexibility has been imaged in experimental models, using hyperpolarized (HP) [2-13C]pyruvate MRI, which enables interrogation of metabolites that reflect tricarboxylic acid (TCA) cycle flux in cardiac myocytes. This study aimed to develop methods, demonstrate feasibility for [2-13C]pyruvate MRI in the human heart for the first time, and assess cardiac metabolic flexibility. Methods Good Manufacturing Practice [2-13C]pyruvic acid was polarized in a 5T polarizer for 2.5-3 hours. Following dissolution, QC parameters of HP pyruvate met all safety and sterility criteria for pharmacy release, prior to administration to study subjects. Three healthy subjects each received two HP injections and MR scans, first under fasting conditions, followed by oral glucose load. A 5cm axial slab-selective spectroscopy approach was prescribed over the left ventricle and acquired at 3s intervals on a 3T clinical MRI scanner. Results The study protocol which included HP substrate injection, MR scanning and oral glucose load, was performed safely without adverse events. Key downstream metabolites of [2-13C]pyruvate metabolism in cardiac myocytes include the glycolytic derivative [2-13C]lactate, TCA-associated metabolite [5-13C]glutamate, and [1-13C]acetylcarnitine, catalyzed by carnitine acetyltransferase (CAT). After glucose load, 13C-labeling of lactate, glutamate, and acetylcarnitine from 13C-pyruvate increased by 39.3%, 29.5%, and 114%, respectively in the three subjects, that could result from increases in lactate dehydrogenase (LDH), pyruvate dehydrogenase (PDH), and CAT enzyme activity as well as TCA cycle flux (glucose oxidation). Conclusions HP [2-13C]pyruvate imaging is safe and permits non-invasive assessment of TCA cycle intermediates and the acetyl buffer, acetylcarnitine, which is not possible using HP [1-13C]pyruvate. Cardiac metabolite measurement in the fasting/fed states provides information on cardiac metabolic flexibility and the acetylcarnitine pool.
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Affiliation(s)
- Hsin-Yu Chen
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, United States
| | - Jeremy W. Gordon
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, United States
| | - Nicholas Dwork
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, United States
| | - Brian T. Chung
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, United States
| | - Andrew Riselli
- School of Pharmacy, University of California, San Francisco, United States
| | | | - Robert A. Bok
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, United States
| | - James B. Slater
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, United States
| | - Daniel B. Vigneron
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, United States
| | - M. Roselle Abraham
- Division of Cardiology, University of California, San Francisco, United States
| | - Peder E.Z. Larson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, United States
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Arponen O, Wodtke P, Gallagher FA, Woitek R. Hyperpolarised 13C-MRI using 13C-pyruvate in breast cancer: A review. Eur J Radiol 2023; 167:111058. [PMID: 37666071 DOI: 10.1016/j.ejrad.2023.111058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 08/14/2023] [Accepted: 08/21/2023] [Indexed: 09/06/2023]
Abstract
Tumour metabolism can be imaged with a novel imaging technique termed hyperpolarised carbon-13 (13C)-MRI using probes, i.e., endogenously found molecules that are labeled with 13C. Hyperpolarisation of the 13C label increases the sensitivity to a level that allows dynamic imaging of the distribution and metabolism of the probes. Dynamic imaging of [1-13C]pyruvate metabolism is of particular biological interest in cancer because of the Warburg effect resulting in the intratumoural accumulation of [1-13C]pyruvate and conversion to [1-13C]lactate. Numerous preclinical studies in breast cancer and other tumours have shown that hyperpolarised 13C-pyruvate has potential for metabolic phenotyping and response assessment at earlier timepoints than the current clinical imaging techniques allow. The clinical feasibility of hyperpolarised 13C-MRI after the injection of pyruvate in patients with breast cancer has now been demonstrated, with increased 13C-label exchange between pyruvate and lactate present in higher grade tumours with associated increased expression of the monocarboxylate transporter 1 (MCT1), the transmembrane transporter mediating intracellular pyruvate uptake, and lactate dehydrogenase (LDH) as the enzyme catalysing the conversion of pyruvate to lactate. Furthermore, a study in patients with breast cancer undergoing neoadjuvant chemotherapy suggested that early changes in 13C-label exchange can distinguish between patients who reach pathologic complete response (pCR) and those who do not. This review summarises the current literature on preclinical and clinical research on hyperpolarised 13C-MRI with [1-13C]-pyruvate in breast cancer imaging.
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Affiliation(s)
- Otso Arponen
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom.
| | - Pascal Wodtke
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom; Cancer Research UK Cambridge Center, Cambridge, United Kingdom
| | - Ferdia A Gallagher
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom; Cancer Research UK Cambridge Center, Cambridge, United Kingdom
| | - Ramona Woitek
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom; Cancer Research UK Cambridge Center, Cambridge, United Kingdom; Research Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Danube Private University, Krems, Austria
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Deen SS, Rooney C, Shinozaki A, McGing J, Grist JT, Tyler DJ, Serrão E, Gallagher FA. Hyperpolarized Carbon 13 MRI: Clinical Applications and Future Directions in Oncology. Radiol Imaging Cancer 2023; 5:e230005. [PMID: 37682052 PMCID: PMC10546364 DOI: 10.1148/rycan.230005] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 06/16/2023] [Accepted: 08/02/2023] [Indexed: 09/09/2023]
Abstract
Hyperpolarized carbon 13 MRI (13C MRI) is a novel imaging approach that can noninvasively probe tissue metabolism in both normal and pathologic tissues. The process of hyperpolarization increases the signal acquired by several orders of magnitude, allowing injected 13C-labeled molecules and their downstream metabolites to be imaged in vivo, thus providing real-time information on kinetics. To date, the most important reaction studied with hyperpolarized 13C MRI is exchange of the hyperpolarized 13C signal from injected [1-13C]pyruvate with the resident tissue lactate pool. Recent preclinical and human studies have shown the role of several biologic factors such as the lactate dehydrogenase enzyme, pyruvate transporter expression, and tissue hypoxia in generating the MRI signal from this reaction. Potential clinical applications of hyperpolarized 13C MRI in oncology include using metabolism to stratify tumors by grade, selecting therapeutic pathways based on tumor metabolic profiles, and detecting early treatment response through the imaging of shifts in metabolism that precede tumor structural changes. This review summarizes the foundations of hyperpolarized 13C MRI, presents key findings from human cancer studies, and explores the future clinical directions of the technique in oncology. Keywords: Hyperpolarized Carbon 13 MRI, Molecular Imaging, Cancer, Tissue Metabolism © RSNA, 2023.
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Affiliation(s)
- Surrin S Deen
- From the Department of Radiology, Cambridge University Hospitals, Biomedical Campus, Cambridge, CB2 0QQ, England (S.S.D., E.S., F.A.G.); Department of Physiology, Anatomy, and Genetics (C.R., A.S., J.T.G., D.J.T.) and the Oxford Centre for Clinical Magnetic Resonance Research (A.S., J.T.G., D.J.T.), University of Oxford, Oxford, England; Department of Radiology, Oxford University Hospitals, Oxford, England (J.M., J.T.G.); Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.T.G.); Department of Radiology, University of Cambridge, Cambridge, England (E.S., F.A.G.); Cancer Research UK Cambridge Centre, Cambridge, England (F.A.G.); and Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada (E.S.)
| | - Catriona Rooney
- From the Department of Radiology, Cambridge University Hospitals, Biomedical Campus, Cambridge, CB2 0QQ, England (S.S.D., E.S., F.A.G.); Department of Physiology, Anatomy, and Genetics (C.R., A.S., J.T.G., D.J.T.) and the Oxford Centre for Clinical Magnetic Resonance Research (A.S., J.T.G., D.J.T.), University of Oxford, Oxford, England; Department of Radiology, Oxford University Hospitals, Oxford, England (J.M., J.T.G.); Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.T.G.); Department of Radiology, University of Cambridge, Cambridge, England (E.S., F.A.G.); Cancer Research UK Cambridge Centre, Cambridge, England (F.A.G.); and Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada (E.S.)
| | - Ayaka Shinozaki
- From the Department of Radiology, Cambridge University Hospitals, Biomedical Campus, Cambridge, CB2 0QQ, England (S.S.D., E.S., F.A.G.); Department of Physiology, Anatomy, and Genetics (C.R., A.S., J.T.G., D.J.T.) and the Oxford Centre for Clinical Magnetic Resonance Research (A.S., J.T.G., D.J.T.), University of Oxford, Oxford, England; Department of Radiology, Oxford University Hospitals, Oxford, England (J.M., J.T.G.); Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.T.G.); Department of Radiology, University of Cambridge, Cambridge, England (E.S., F.A.G.); Cancer Research UK Cambridge Centre, Cambridge, England (F.A.G.); and Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada (E.S.)
| | - Jordan McGing
- From the Department of Radiology, Cambridge University Hospitals, Biomedical Campus, Cambridge, CB2 0QQ, England (S.S.D., E.S., F.A.G.); Department of Physiology, Anatomy, and Genetics (C.R., A.S., J.T.G., D.J.T.) and the Oxford Centre for Clinical Magnetic Resonance Research (A.S., J.T.G., D.J.T.), University of Oxford, Oxford, England; Department of Radiology, Oxford University Hospitals, Oxford, England (J.M., J.T.G.); Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.T.G.); Department of Radiology, University of Cambridge, Cambridge, England (E.S., F.A.G.); Cancer Research UK Cambridge Centre, Cambridge, England (F.A.G.); and Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada (E.S.)
| | - James T Grist
- From the Department of Radiology, Cambridge University Hospitals, Biomedical Campus, Cambridge, CB2 0QQ, England (S.S.D., E.S., F.A.G.); Department of Physiology, Anatomy, and Genetics (C.R., A.S., J.T.G., D.J.T.) and the Oxford Centre for Clinical Magnetic Resonance Research (A.S., J.T.G., D.J.T.), University of Oxford, Oxford, England; Department of Radiology, Oxford University Hospitals, Oxford, England (J.M., J.T.G.); Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.T.G.); Department of Radiology, University of Cambridge, Cambridge, England (E.S., F.A.G.); Cancer Research UK Cambridge Centre, Cambridge, England (F.A.G.); and Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada (E.S.)
| | - Damian J Tyler
- From the Department of Radiology, Cambridge University Hospitals, Biomedical Campus, Cambridge, CB2 0QQ, England (S.S.D., E.S., F.A.G.); Department of Physiology, Anatomy, and Genetics (C.R., A.S., J.T.G., D.J.T.) and the Oxford Centre for Clinical Magnetic Resonance Research (A.S., J.T.G., D.J.T.), University of Oxford, Oxford, England; Department of Radiology, Oxford University Hospitals, Oxford, England (J.M., J.T.G.); Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.T.G.); Department of Radiology, University of Cambridge, Cambridge, England (E.S., F.A.G.); Cancer Research UK Cambridge Centre, Cambridge, England (F.A.G.); and Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada (E.S.)
| | - Eva Serrão
- From the Department of Radiology, Cambridge University Hospitals, Biomedical Campus, Cambridge, CB2 0QQ, England (S.S.D., E.S., F.A.G.); Department of Physiology, Anatomy, and Genetics (C.R., A.S., J.T.G., D.J.T.) and the Oxford Centre for Clinical Magnetic Resonance Research (A.S., J.T.G., D.J.T.), University of Oxford, Oxford, England; Department of Radiology, Oxford University Hospitals, Oxford, England (J.M., J.T.G.); Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.T.G.); Department of Radiology, University of Cambridge, Cambridge, England (E.S., F.A.G.); Cancer Research UK Cambridge Centre, Cambridge, England (F.A.G.); and Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada (E.S.)
| | - Ferdia A Gallagher
- From the Department of Radiology, Cambridge University Hospitals, Biomedical Campus, Cambridge, CB2 0QQ, England (S.S.D., E.S., F.A.G.); Department of Physiology, Anatomy, and Genetics (C.R., A.S., J.T.G., D.J.T.) and the Oxford Centre for Clinical Magnetic Resonance Research (A.S., J.T.G., D.J.T.), University of Oxford, Oxford, England; Department of Radiology, Oxford University Hospitals, Oxford, England (J.M., J.T.G.); Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.T.G.); Department of Radiology, University of Cambridge, Cambridge, England (E.S., F.A.G.); Cancer Research UK Cambridge Centre, Cambridge, England (F.A.G.); and Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada (E.S.)
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11
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Traechtler J, Fuetterer M, Albannay MM, Hoh T, Kozerke S. Considerations for hyperpolarized 13 C MR at reduced field: Comparing 1.5T versus 3T. Magn Reson Med 2023; 89:1945-1960. [PMID: 36598063 DOI: 10.1002/mrm.29579] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 12/09/2022] [Accepted: 12/22/2022] [Indexed: 01/05/2023]
Abstract
PURPOSE In contrast to conventional MR, signal-to-noise ratio (SNR) is not linearly dependent on field strength in hyperpolarized MR, as polarization is generated outside the MR system. Moreover, field inhomogeneity-induced artifacts and other practical limitations associated with field strengths ≥ $$ \ge $$ 3T are alleviated at lower fields. The potential of hyperpolarized 13 $$ {}^{13} $$ C spectroscopy and imaging at 1.5T versus 3T is demonstrated in silico, in vitro, and in vivo for applications on clinical MR systems. THEORY AND METHODS Theoretical noise and SNR behavior at different field strengths are investigated based on simulations. A thorough field comparison between 1.5T and 3T is performed using thermal and hyperpolarized 13 $$ {}^{13} $$ C spectroscopy and imaging. Cardiac in vivo data is obtained in pigs using hyperpolarized [1- 13 $$ {}^{13} $$ C]pyruvate spectroscopy and imaging at 1.5T and 3T. RESULTS Based on theoretical considerations and simulations, the SNR of hyperpolarized MR at identical acquisition bandwidths is independent of the field strength for typical coil setups, while adaptively changing the acquisition bandwidth proportional to the static magnetic field allows for net SNR gains of up to 40% at 1.5T compared to 3T. In vitro 13 $$ {}^{13} $$ C data verified these considerations with less than 7% deviation. In vivo feasibility of hyperpolarized [1- 13 $$ {}^{13} $$ C]pyruvate dynamic metabolic spectroscopy and imaging at 1.5T is demonstrated in the pig heart with comparable SNR between 1.5T and 3T while B 0 $$ {}_0 $$ artifacts are noticeably reduced at 1.5T. CONCLUSION Hyperpolarized 13 $$ {}^{13} $$ C MR at lower field strengths is favorable in terms of SNR and off-resonance effects, which makes 1.5T a promising alternative to 3T, especially for clinical cardiac metabolic imaging.
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Affiliation(s)
- Julia Traechtler
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Maximilian Fuetterer
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Mohammed M Albannay
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.,Laboratory of Physical Chemistry, ETH Zurich, Zurich, Switzerland
| | - Tobias Hoh
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
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12
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Sun P, Wu Z, Lin L, Hu G, Zhang X, Wang J. MR-Nucleomics: The study of pathological cellular processes with multinuclear magnetic resonance spectroscopy and imaging in vivo. NMR IN BIOMEDICINE 2023; 36:e4845. [PMID: 36259659 DOI: 10.1002/nbm.4845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 09/28/2022] [Accepted: 10/08/2022] [Indexed: 06/16/2023]
Abstract
Clinical medicine has experienced a rapid development in recent decades, during which therapies targeting specific cellular signaling pathways, or specific cell surface receptors, have been increasingly adopted. While these developments in clinical medicine call for improved precision in diagnosis and treatment monitoring, modern medical imaging methods are restricted mainly to anatomical imaging, lagging behind the requirements of precision medicine. Although positron emission tomography and single photon emission computed tomography have been used clinically for studies of metabolism, their applications have been limited by the exposure risk to ionizing radiation, the subsequent limitation in repeated and longitudinal studies, and the incapability in assessing downstream metabolism. Magnetic resonance spectroscopy (MRS) or spectroscopic imaging (MRSI) are, in theory, capable of assessing molecular activities in vivo, although they are often limited by sensitivity. Here, we review some recent developments in MRS and MRSI of multiple nuclei that have potential as molecular imaging tools in the clinic.
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Affiliation(s)
- Peng Sun
- Clinical & Technical Support, Philips Healthcare, China
| | - Zhigang Wu
- Clinical & Technical Support, Philips Healthcare, China
| | - Liangjie Lin
- Clinical & Technical Support, Philips Healthcare, China
| | - Geli Hu
- Clinical & Technical Support, Philips Healthcare, China
| | | | - Jiazheng Wang
- Clinical & Technical Support, Philips Healthcare, China
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13
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Zaccagna F, McLean MA, Grist JT, Kaggie J, Mair R, Riemer F, Woitek R, Gill AB, Deen S, Daniels CJ, Ursprung S, Schulte RF, Allinson K, Chhabra A, Laurent MC, Locke M, Frary A, Hilborne S, Patterson I, Carmo BD, Slough R, Wilkinson I, Basu B, Wason J, Gillard JH, Matys T, Watts C, Price SJ, Santarius T, Graves MJ, Jefferies S, Brindle KM, Gallagher FA. Imaging Glioblastoma Metabolism by Using Hyperpolarized [1- 13C]Pyruvate Demonstrates Heterogeneity in Lactate Labeling: A Proof of Principle Study. Radiol Imaging Cancer 2022; 4:e210076. [PMID: 35838532 PMCID: PMC9360994 DOI: 10.1148/rycan.210076] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 04/27/2022] [Accepted: 05/19/2022] [Indexed: 01/20/2023]
Abstract
Purpose To evaluate glioblastoma (GBM) metabolism by using hyperpolarized carbon 13 (13C) MRI to monitor the exchange of the hyperpolarized 13C label between injected [1-13C]pyruvate and tumor lactate and bicarbonate. Materials and Methods In this prospective study, seven treatment-naive patients (age [mean ± SD], 60 years ± 11; five men) with GBM were imaged at 3 T by using a dual-tuned 13C-hydrogen 1 head coil. Hyperpolarized [1-13C]pyruvate was injected, and signal was acquired by using a dynamic MRI spiral sequence. Metabolism was assessed within the tumor, in the normal-appearing brain parenchyma (NABP), and in healthy volunteers by using paired or unpaired t tests and a Wilcoxon signed rank test. The Spearman ρ correlation coefficient was used to correlate metabolite labeling with lactate dehydrogenase A (LDH-A) expression and some immunohistochemical markers. The Benjamini-Hochberg procedure was used to correct for multiple comparisons. Results The bicarbonate-to-pyruvate (BP) ratio was lower in the tumor than in the contralateral NABP (P < .01). The tumor lactate-to-pyruvate (LP) ratio was not different from that in the NABP (P = .38). The LP and BP ratios in the NABP were higher than those observed previously in healthy volunteers (P < .05). Tumor lactate and bicarbonate signal intensities were strongly correlated with the pyruvate signal intensity (ρ = 0.92, P < .001, and ρ = 0.66, P < .001, respectively), and the LP ratio was weakly correlated with LDH-A expression in biopsy samples (ρ = 0.43, P = .04). Conclusion Hyperpolarized 13C MRI demonstrated variation in lactate labeling in GBM, both within and between tumors. In contrast, bicarbonate labeling was consistently lower in tumors than in the surrounding NABP. Keywords: Hyperpolarized 13C MRI, Glioblastoma, Metabolism, Cancer, MRI, Neuro-oncology Supplemental material is available for this article. Published under a CC BY 4.0 license.
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Affiliation(s)
- Fulvio Zaccagna
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Mary A. McLean
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - James T. Grist
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Joshua Kaggie
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Richard Mair
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Frank Riemer
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Ramona Woitek
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Andrew B. Gill
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Surrin Deen
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Charlie J. Daniels
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Stephan Ursprung
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Rolf F. Schulte
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Kieren Allinson
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Anita Chhabra
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Marie-Christine Laurent
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Matthew Locke
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Amy Frary
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Sarah Hilborne
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Ilse Patterson
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Bruno D. Carmo
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Rhys Slough
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Ian Wilkinson
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Bristi Basu
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - James Wason
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Jonathan H. Gillard
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Tomasz Matys
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Colin Watts
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Stephen J. Price
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Thomas Santarius
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Martin J. Graves
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Sarah Jefferies
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Kevin M. Brindle
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Ferdia A. Gallagher
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
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Hansen K, Hansen ESS, Jespersen NRV, Bøtker HE, Pedersen M, Wang T, Laustsen C. Hyperpolarized
13
C
MRI Reveals Large Changes in Pyruvate Metabolism During Digestion in Snakes. Magn Reson Med 2022; 88:890-900. [PMID: 35426467 PMCID: PMC9321735 DOI: 10.1002/mrm.29239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 01/31/2022] [Accepted: 02/25/2022] [Indexed: 11/05/2022]
Abstract
Purpose Methods Results Conclusion
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Affiliation(s)
- Kasper Hansen
- Comparative Medicine Lab, Department of Clinical Medicine Aarhus University Aarhus Denmark
- Zoophysiology, Department of Biology Aarhus University Aarhus Denmark
- Department of Forensic Medicine Aarhus University Aarhus Denmark
| | | | | | - Hans Erik Bøtker
- Cardiology, Department of Clinical Medicine Aarhus University Aarhus Denmark
| | - Michael Pedersen
- Comparative Medicine Lab, Department of Clinical Medicine Aarhus University Aarhus Denmark
| | - Tobias Wang
- Zoophysiology, Department of Biology Aarhus University Aarhus Denmark
| | - Christoffer Laustsen
- MR Research Centre, Department of Clinical Medicine Aarhus University Aarhus Denmark
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15
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DOĞANAY Ö. Computational investigation of fitting for calculation of signal dynamics from hyperpolarized xenon-129 Gas MRI. EGE TIP DERGISI 2022. [DOI: 10.19161/etd.1085607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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16
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Ehrhardt MJ, Gallagher FA, McLean MA, Schönlieb CB. Enhancing the spatial resolution of hyperpolarized carbon-13 MRI of human brain metabolism using structure guidance. Magn Reson Med 2022; 87:1301-1312. [PMID: 34687088 DOI: 10.1002/mrm.29045] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 09/24/2021] [Accepted: 09/27/2021] [Indexed: 12/14/2022]
Abstract
PURPOSE Dynamic nuclear polarization is an emerging imaging method that allows noninvasive investigation of tissue metabolism. However, the relatively low metabolic spatial resolution that can be achieved limits some applications, and improving this resolution could have important implications for the technique. METHODS We propose to enhance the 3D resolution of carbon-13 magnetic resonance imaging (13 C-MRI) using the structural information provided by hydrogen-1 MRI (1 H-MRI). The proposed approach relies on variational regularization in 3D with a directional total variation regularizer, resulting in a convex optimization problem which is robust with respect to the parameters and can efficiently be solved by many standard optimization algorithms. Validation was carried out using an in silico phantom, an in vitro phantom and in vivo data from four human volunteers. RESULTS The clinical data used in this study were upsampled by a factor of 4 in-plane and by a factor of 15 out-of-plane, thereby revealing occult information. A key finding is that 3D super-resolution shows superior performance compared to several 2D super-resolution approaches: for example, for the in silico data, the mean-squared-error was reduced by around 40% and for all data produced increased anatomical definition of the metabolic imaging. CONCLUSION The proposed approach generates images with enhanced anatomical resolution while largely preserving the quantitative measurements of metabolism. Although the work requires clinical validation against tissue measures of metabolism, it offers great potential in the field of 13 C-MRI and could significantly improve image quality in the future.
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Affiliation(s)
- Matthias J Ehrhardt
- Department of Mathematical Sciences, University of Bath, Bath, UK
- Institute for Mathematical Innovation, University of Bath, Bath, UK
| | | | - Mary A McLean
- Department of Radiology, University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Carola-Bibiane Schönlieb
- Department for Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK
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17
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Sushentsev N, McLean MA, Warren AY, Benjamin AJV, Brodie C, Frary A, Gill AB, Jones J, Kaggie JD, Lamb BW, Locke MJ, Miller JL, Mills IG, Priest AN, Robb FJL, Shah N, Schulte RF, Graves MJ, Gnanapragasam VJ, Brindle KM, Barrett T, Gallagher FA. Hyperpolarised 13C-MRI identifies the emergence of a glycolytic cell population within intermediate-risk human prostate cancer. Nat Commun 2022; 13:466. [PMID: 35075123 PMCID: PMC8786834 DOI: 10.1038/s41467-022-28069-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 12/02/2021] [Indexed: 02/08/2023] Open
Abstract
Hyperpolarised magnetic resonance imaging (HP 13C-MRI) is an emerging clinical technique to detect [1-13C]lactate production in prostate cancer (PCa) following intravenous injection of hyperpolarised [1-13C]pyruvate. Here we differentiate clinically significant PCa from indolent disease in a low/intermediate-risk population by correlating [1-13C]lactate labelling on MRI with the percentage of Gleason pattern 4 (%GP4) disease. Using immunohistochemistry and spatial transcriptomics, we show that HP 13C-MRI predominantly measures metabolism in the epithelial compartment of the tumour, rather than the stroma. MRI-derived tumour [1-13C]lactate labelling correlated with epithelial mRNA expression of the enzyme lactate dehydrogenase (LDHA and LDHB combined), and the ratio of lactate transporter expression between the epithelial and stromal compartments (epithelium-to-stroma MCT4). We observe similar changes in MCT4, LDHA, and LDHB between tumours with primary Gleason patterns 3 and 4 in an independent TCGA cohort. Therefore, HP 13C-MRI can metabolically phenotype clinically significant disease based on underlying metabolic differences in the epithelial and stromal tumour compartments.
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Affiliation(s)
- Nikita Sushentsev
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - Mary A McLean
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Anne Y Warren
- Department of Pathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Arnold J V Benjamin
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - Cara Brodie
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Amy Frary
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - Andrew B Gill
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - Julia Jones
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Joshua D Kaggie
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - Benjamin W Lamb
- Department of Urology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- School of Allied Health, Anglia Ruskin University, Cambridge, UK
| | - Matthew J Locke
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - Jodi L Miller
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Ian G Mills
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK
- Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Oxford, UK
- Centre for Cancer Biomarkers, University of Bergen, Bergen, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Andrew N Priest
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | | | - Nimish Shah
- Department of Urology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | - Martin J Graves
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - Vincent J Gnanapragasam
- Department of Urology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Division of Urology, Department of Surgery, University of Cambridge, Cambridge, UK
- Cambridge Urology Translational Research and Clinical Trials Office, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, UK
| | - Kevin M Brindle
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Tristan Barrett
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK.
| | - Ferdia A Gallagher
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
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18
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Ursprung S, Woitek R, McLean MA, Priest AN, Crispin-Ortuzar M, Brodie CR, Gill AB, Gehrung M, Beer L, Riddick ACP, Field-Rayner J, Grist JT, Deen SS, Riemer F, Kaggie JD, Zaccagna F, Duarte JAG, Locke MJ, Frary A, Aho TF, Armitage JN, Casey R, Mendichovszky IA, Welsh SJ, Barrett T, Graves MJ, Eisen T, Mitchell TJ, Warren AY, Brindle KM, Sala E, Stewart GD, Gallagher FA. Hyperpolarized 13C-Pyruvate Metabolism as a Surrogate for Tumor Grade and Poor Outcome in Renal Cell Carcinoma-A Proof of Principle Study. Cancers (Basel) 2022; 14:335. [PMID: 35053497 PMCID: PMC8773685 DOI: 10.3390/cancers14020335] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 01/04/2022] [Accepted: 01/06/2022] [Indexed: 02/01/2023] Open
Abstract
Differentiating aggressive clear cell renal cell carcinoma (ccRCC) from indolent lesions is challenging using conventional imaging. This work prospectively compared the metabolic imaging phenotype of renal tumors using carbon-13 MRI following injection of hyperpolarized [1-13C]pyruvate (HP-13C-MRI) and validated these findings with histopathology. Nine patients with treatment-naïve renal tumors (6 ccRCCs, 1 liposarcoma, 1 pheochromocytoma, 1 oncocytoma) underwent pre-operative HP-13C-MRI and conventional proton (1H) MRI. Multi-regional tissue samples were collected using patient-specific 3D-printed tumor molds for spatial registration between imaging and molecular analysis. The apparent exchange rate constant (kPL) between 13C-pyruvate and 13C-lactate was calculated. Immunohistochemistry for the pyruvate transporter (MCT1) from 44 multi-regional samples, as well as associations between MCT1 expression and outcome in the TCGA-KIRC dataset, were investigated. Increasing kPL in ccRCC was correlated with increasing overall tumor grade (ρ = 0.92, p = 0.009) and MCT1 expression (r = 0.89, p = 0.016), with similar results acquired from the multi-regional analysis. Conventional 1H-MRI parameters did not discriminate tumor grades. The correlation between MCT1 and ccRCC grade was confirmed within a TCGA dataset (p < 0.001), where MCT1 expression was a predictor of overall and disease-free survival. In conclusion, metabolic imaging using HP-13C-MRI differentiates tumor aggressiveness in ccRCC and correlates with the expression of MCT1, a predictor of survival. HP-13C-MRI may non-invasively characterize metabolic phenotypes within renal cancer.
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Affiliation(s)
- Stephan Ursprung
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (A.N.P.); (J.T.G.)
| | - Ramona Woitek
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (A.N.P.); (J.T.G.)
| | - Mary A. McLean
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (A.N.P.); (J.T.G.)
| | - Andrew N. Priest
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (A.N.P.); (J.T.G.)
- Department of Radiology, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK;
| | - Mireia Crispin-Ortuzar
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
| | - Cara R. Brodie
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
| | - Andrew B. Gill
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (A.N.P.); (J.T.G.)
| | - Marcel Gehrung
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
| | - Lucian Beer
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (A.N.P.); (J.T.G.)
| | - Antony C. P. Riddick
- Department of Urology, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK; (A.C.P.R.); (T.F.A.); (J.N.A.)
| | - Johanna Field-Rayner
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (A.N.P.); (J.T.G.)
| | - James T. Grist
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (A.N.P.); (J.T.G.)
| | - Surrin S. Deen
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (A.N.P.); (J.T.G.)
- Department of Radiology, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK;
| | - Frank Riemer
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (A.N.P.); (J.T.G.)
| | - Joshua D. Kaggie
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (A.N.P.); (J.T.G.)
| | - Fulvio Zaccagna
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (A.N.P.); (J.T.G.)
| | - Joao A. G. Duarte
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (A.N.P.); (J.T.G.)
| | - Matthew J. Locke
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (A.N.P.); (J.T.G.)
| | - Amy Frary
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (A.N.P.); (J.T.G.)
| | - Tevita F. Aho
- Department of Urology, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK; (A.C.P.R.); (T.F.A.); (J.N.A.)
| | - James N. Armitage
- Department of Urology, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK; (A.C.P.R.); (T.F.A.); (J.N.A.)
| | - Ruth Casey
- Department of Endocrinology, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK;
| | - Iosif A. Mendichovszky
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (A.N.P.); (J.T.G.)
- Department of Radiology, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK;
| | - Sarah J. Welsh
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Oncology, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK
- Department of Surgery, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Tristan Barrett
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (A.N.P.); (J.T.G.)
| | - Martin J. Graves
- Department of Radiology, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK;
| | - Tim Eisen
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Oncology, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK
| | - Thomas J. Mitchell
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Urology, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK; (A.C.P.R.); (T.F.A.); (J.N.A.)
- Department of Surgery, University of Cambridge, Cambridge CB2 0QQ, UK
- Wellcome Sanger Institute, Hinxton CB10 1RQ, UK
| | - Anne Y. Warren
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Pathology, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK
| | - Kevin M. Brindle
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
| | - Evis Sala
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (A.N.P.); (J.T.G.)
| | - Grant D. Stewart
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Urology, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK; (A.C.P.R.); (T.F.A.); (J.N.A.)
- Department of Surgery, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Ferdia A. Gallagher
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0QQ, UK; (S.U.); (R.W.); (M.A.M.); (M.C.-O.); (C.R.B.); (A.B.G.); (M.G.); (L.B.); (J.F.-R.); (S.S.D.); (F.R.); (J.D.K.); (F.Z.); (J.A.G.D.); (M.J.L.); (A.F.); (I.A.M.); (S.J.W.); (T.B.); (T.E.); (T.J.M.); (A.Y.W.); (K.M.B.); (E.S.); (G.D.S.)
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (A.N.P.); (J.T.G.)
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19
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Stewart NJ, Sato T, Takeda N, Hirata H, Matsumoto S. Hyperpolarized 13C Magnetic Resonance Imaging as a Tool for Imaging Tissue Redox State, Oxidative Stress, Inflammation, and Cellular Metabolism. Antioxid Redox Signal 2022; 36:81-94. [PMID: 34218688 PMCID: PMC8792501 DOI: 10.1089/ars.2021.0139] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Significance: Magnetic resonance imaging (MRI) with hyperpolarized (HP) 13C-labeled redox-sensitive metabolic tracers can provide noninvasive functional imaging biomarkers, reflecting tissue redox state, oxidative stress, and inflammation, among others. The capability to use endogenous metabolites as 13C-enriched imaging tracers without structural modification makes HP 13C MRI a promising tool to evaluate redox state in patients with various diseases. Recent Advances: Recent studies have demonstrated the feasibility of in vivo metabolic imaging of 13C-labeled tracers polarized by parahydrogen-induced polarization techniques, which offer a cost-effective alternative to the more widely used dissolution dynamic nuclear polarization-based hyperpolarizers. Critical Issues: Although the fluxes of many metabolic pathways reflect the change in tissue redox state, they are not functionally specific. In the present review, we summarize recent challenges in the development of specific 13C metabolic tracers for biomarkers of redox state, including that for detecting reactive oxygen species. Future Directions: Applications of HP 13C metabolic MRI to evaluate redox state have only just begun to be investigated. The possibility to gain a comprehensive understanding of the correlations between tissue redox potential and metabolism under different pathological conditions by using HP 13C MRI is promoting its interest in the clinical arena, along with its noninvasive biomarkers to evaluate the extent of disease and treatment response.
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Affiliation(s)
- Neil J Stewart
- Division of Bioengineering & Bioinformatics, Graduate School of Information Science & Technology, Hokkaido University, Sapporo, Japan.,POLARIS, Imaging Sciences, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom
| | - Tatsuyuki Sato
- Division of Cardiology and Metabolism Center for Molecular Medicine, Jichi Medical University, Shimotsuke-shi, Japan.,Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Japan Society for the Promotion of Science, Tokyo, Japan
| | - Norihiko Takeda
- Division of Cardiology and Metabolism Center for Molecular Medicine, Jichi Medical University, Shimotsuke-shi, Japan
| | - Hiroshi Hirata
- Division of Bioengineering & Bioinformatics, Graduate School of Information Science & Technology, Hokkaido University, Sapporo, Japan
| | - Shingo Matsumoto
- Division of Bioengineering & Bioinformatics, Graduate School of Information Science & Technology, Hokkaido University, Sapporo, Japan
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20
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Woitek R, McLean MA, Ursprung S, Rueda OM, Manzano Garcia R, Locke MJ, Beer L, Baxter G, Rundo L, Provenzano E, Kaggie J, Patterson A, Frary A, Field-Rayner J, Papalouka V, Kane J, Benjamin AJV, Gill AB, Priest AN, Lewis DY, Russell R, Grimmer A, White B, Latimer-Bowman B, Patterson I, Schiller A, Carmo B, Slough R, Lanz T, Wason J, Schulte RF, Chin SF, Graves MJ, Gilbert FJ, Abraham JE, Caldas C, Brindle KM, Sala E, Gallagher FA. Hyperpolarized Carbon-13 MRI for Early Response Assessment of Neoadjuvant Chemotherapy in Breast Cancer Patients. Cancer Res 2021; 81:6004-6017. [PMID: 34625424 PMCID: PMC7612070 DOI: 10.1158/0008-5472.can-21-1499] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 07/14/2021] [Accepted: 10/06/2021] [Indexed: 01/09/2023]
Abstract
Hyperpolarized 13C-MRI is an emerging tool for probing tissue metabolism by measuring 13C-label exchange between intravenously injected hyperpolarized [1-13C]pyruvate and endogenous tissue lactate. Here, we demonstrate that hyperpolarized 13C-MRI can be used to detect early response to neoadjuvant therapy in breast cancer. Seven patients underwent multiparametric 1H-MRI and hyperpolarized 13C-MRI before and 7-11 days after commencing treatment. An increase in the lactate-to-pyruvate ratio of approximately 20% identified three patients who, following 5-6 cycles of treatment, showed pathological complete response. This ratio correlated with gene expression of the pyruvate transporter MCT1 and lactate dehydrogenase A (LDHA), the enzyme catalyzing label exchange between pyruvate and lactate. Analysis of approximately 2,000 breast tumors showed that overexpression of LDHA and the hypoxia marker CAIX was associated with reduced relapse-free and overall survival. Hyperpolarized 13C-MRI represents a promising method for monitoring very early treatment response in breast cancer and has demonstrated prognostic potential. SIGNIFICANCE: Hyperpolarized carbon-13 MRI allows response assessment in patients with breast cancer after 7-11 days of neoadjuvant chemotherapy and outperformed state-of-the-art and research quantitative proton MRI techniques.
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Affiliation(s)
- Ramona Woitek
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Mary A McLean
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Center, Cambridge, United Kingdom
| | - Stephan Ursprung
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
| | - Oscar M Rueda
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Center, Cambridge, United Kingdom
- MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom
| | - Raquel Manzano Garcia
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Center, Cambridge, United Kingdom
| | - Matthew J Locke
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
| | - Lucian Beer
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Gabrielle Baxter
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
| | - Leonardo Rundo
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
| | - Elena Provenzano
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
- Department of Oncology, Cambridge Breast Cancer Research Unit, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Joshua Kaggie
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
| | - Andrew Patterson
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Amy Frary
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
| | - Johanna Field-Rayner
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
| | - Vasiliki Papalouka
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Justine Kane
- Department of Oncology, Cambridge Breast Cancer Research Unit, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
- Department of Oncology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England
| | - Arnold J V Benjamin
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
| | - Andrew B Gill
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
| | - Andrew N Priest
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
| | - David Y Lewis
- Molecular Imaging Laboratory Cancer Research UK Beatson Institute, Glasgow, United Kingdom
- Institute of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Roslin Russell
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Center, Cambridge, United Kingdom
| | - Ashley Grimmer
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
| | - Brian White
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
| | - Beth Latimer-Bowman
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
| | - Ilse Patterson
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Amy Schiller
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Bruno Carmo
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Rhys Slough
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | | | - James Wason
- MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom
- Population Health Sciences Institute, Newcastle University, Newcastle-upon-Tyne, United Kingdom
| | | | - Suet-Feung Chin
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Center, Cambridge, United Kingdom
| | - Martin J Graves
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Fiona J Gilbert
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Jean E Abraham
- Department of Oncology, Cambridge Breast Cancer Research Unit, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
- Department of Oncology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England
| | - Carlos Caldas
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Center, Cambridge, United Kingdom
- Department of Oncology, Cambridge Breast Cancer Research Unit, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
- Department of Oncology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England
| | - Kevin M Brindle
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Center, Cambridge, United Kingdom
- Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom
| | - Evis Sala
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Ferdia A Gallagher
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom.
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
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21
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Friedlander Y, Zanette B, Lindenmaier A, Li D, Kadlecek S, Santyr G, Kassner A. Hyperpolarized 129 Xe MRI of the rat brain with chemical shift saturation recovery and spiral-IDEAL readout. Magn Reson Med 2021; 87:1971-1979. [PMID: 34841605 DOI: 10.1002/mrm.29105] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 11/11/2021] [Accepted: 11/12/2021] [Indexed: 01/03/2023]
Abstract
PURPOSE To demonstrate the feasibility of 129 Xe chemical shift saturation recovery (CSSR) combined with spiral-IDEAL imaging for simultaneous measurement of the time-course of red blood cell (RBC) and brain tissue signals in the rat brain. METHODS Images of both the RBC and brain tissue 129 Xe signals from the brains of five rats were obtained using interleaved spiral-IDEAL imaging following chemical shift saturation pulses applied at multiple CSSR delay times, τ. A linear fit of the signals to τ was used to calculate the slope of the signal for both RBC and brain tissue compartments on a voxel-by-voxel basis. Gas transfer was evaluated by measuring the ratio of the whole brain tissue-to-RBC signal intensities as a function of τ. To investigate the relationship between the CSSR images and gas transfer in the brain, the experiments were repeated during hypercapnic ventilation. RESULTS Hypercapnia, affected the ratio of the tissue-to-RBC signal intensity (p = 0.026), consistent with an increase in gas transfer. CONCLUSION CSSR with spiral-IDEAL imaging is feasible for acquisition of 129 Xe RBC and brain tissue time-course images in the rat brain. Differences in the time-course of the signal intensity ratios are consistent with gas transfer changes expected under hypercapnic conditions.
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Affiliation(s)
- Yonni Friedlander
- Translational Medicine Program, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Brandon Zanette
- Translational Medicine Program, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Andras Lindenmaier
- Translational Medicine Program, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Daniel Li
- Translational Medicine Program, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Stephen Kadlecek
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Giles Santyr
- Translational Medicine Program, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Andrea Kassner
- Translational Medicine Program, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
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22
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El Sabbagh N, Chassain C, Ratiney H, Pagés G, Bonny JM. Spurious phase correction in rapid metabolic imaging. JOURNAL OF MAGNETIC RESONANCE (SAN DIEGO, CALIF. : 1997) 2021; 332:107065. [PMID: 34560390 DOI: 10.1016/j.jmr.2021.107065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 09/06/2021] [Accepted: 09/06/2021] [Indexed: 06/13/2023]
Abstract
IDEAL-type magnetic resonance spectroscopic imaging (MRSI) sequences require the acquisition of several datasets using optimized sampling in the time domain to reconstruct metabolite maps. Each unitary scan consists of a selective slice (2D) or slab (3D) excitation followed by an evolution time and then the acquisition of the spatially encoded signal. It is critical that the phase variation during the evolution time for each scan is only dependent on chemical shifts. In this paper, we described the apparition of spurious phase due to either the transmit or the receive frequency. The presence of this unwanted phase depends on (i) where the commutation between these two frequencies is performed and (ii) how it is done, as there are two phase commutation modes: continuous and coherent. We present the correction needed in function of the different cases. It appears that some solutions are universal. However, it is critical to know which case is implemented on the MRI scanner, which is not always easy information to have. We illustrated several cases with our preclinical MRI by using the IDEAL spiral method on a 13C phantom.
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Affiliation(s)
- Nour El Sabbagh
- INRAE, UR QuaPA, F-63122 Saint-Gènes-Champanelle, France; INRAE, AgroResonance Facility, F-63122 Saint-Genès-Champanelle, France; Université Clermont Auvergne, CHU, CNRS, Clermont Auvergne INP, Institut Pascal, F-63000 Clermont-Ferrand, France.
| | - Carine Chassain
- INRAE, UR QuaPA, F-63122 Saint-Gènes-Champanelle, France; INRAE, AgroResonance Facility, F-63122 Saint-Genès-Champanelle, France; Université Clermont Auvergne, CHU, CNRS, Clermont Auvergne INP, Institut Pascal, F-63000 Clermont-Ferrand, France
| | - Hélène Ratiney
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM Saint Etienne, CNRS, Inserm, CREATIS UMR5220, U1294, F-69621, LYON, France
| | - Guilhem Pagés
- INRAE, UR QuaPA, F-63122 Saint-Gènes-Champanelle, France; INRAE, AgroResonance Facility, F-63122 Saint-Genès-Champanelle, France
| | - Jean-Marie Bonny
- INRAE, UR QuaPA, F-63122 Saint-Gènes-Champanelle, France; INRAE, AgroResonance Facility, F-63122 Saint-Genès-Champanelle, France
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23
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Monitoring Early Glycolytic Flux Alterations Following Radiotherapy in Cancer and Immune Cells: Hyperpolarized Carbon-13 Magnetic Resonance Imaging Study. Metabolites 2021; 11:metabo11080518. [PMID: 34436459 PMCID: PMC8398834 DOI: 10.3390/metabo11080518] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Revised: 07/21/2021] [Accepted: 08/03/2021] [Indexed: 12/23/2022] Open
Abstract
Alterations in metabolism following radiotherapy affect therapeutic efficacy, although the mechanism underlying such alterations is unclear. A new imaging technique-named dynamic nuclear polarization (DNP) carbon-13 magnetic resonance imaging (MRI)-probes the glycolytic flux in a real-time, dynamic manner. The [1-13C]pyruvate is transported by the monocarboxylate transporter (MCT) into cells and converted into [1-13C]lactate by lactate dehydrogenase (LDH). To capture the early glycolytic alterations in the irradiated cancer and immune cells, we designed a preliminary DNP 13C-MRI study by using hyperpolarized [1-13C]pyruvate to study human FaDu squamous carcinoma cells, HMC3 microglial cells, and THP-1 monocytes before and after irradiation. The pyruvate-to-lactate conversion rate (kPL [Pyr.]) calculated by kinetic modeling was used to evaluate the metabolic alterations. Western blotting was performed to assess the expressions of LDHA, LDHB, MCT1, and MCT4 proteins. Following irradiation, the pyruvate-to-lactate conversion rates on DNP 13C-MRI were significantly decreased in the FaDu and the HMC3 cells but increased in the THP-1 cells. Western blot analysis confirmed the similar trends in LDHA and LDHB expression levels. In conclusion, DNP 13C-MRI non-invasively captured the different glycolytic alterations among cancer and immune systems in response to irradiation, implying its potential for clinical use in the future.
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24
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Larson PEZ, Gordon JW. Hyperpolarized Metabolic MRI-Acquisition, Reconstruction, and Analysis Methods. Metabolites 2021; 11:386. [PMID: 34198574 PMCID: PMC8231874 DOI: 10.3390/metabo11060386] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 06/05/2021] [Accepted: 06/08/2021] [Indexed: 01/05/2023] Open
Abstract
Hyperpolarized metabolic MRI with 13C-labeled agents has emerged as a powerful technique for in vivo assessments of real-time metabolism that can be used across scales of cells, tissue slices, animal models, and human subjects. Hyperpolarized contrast agents have unique properties compared to conventional MRI scanning and MRI contrast agents that require specialized imaging methods. Hyperpolarized contrast agents have a limited amount of available signal, irreversible decay back to thermal equilibrium, bolus injection and perfusion kinetics, cellular uptake and metabolic conversion kinetics, and frequency shifts between metabolites. This article describes state-of-the-art methods for hyperpolarized metabolic MRI, summarizing data acquisition, reconstruction, and analysis methods in order to guide the design and execution of studies.
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Affiliation(s)
- Peder Eric Zufall Larson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143, USA;
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco, CA 94143, USA
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley, CA 94143, USA
| | - Jeremy W. Gordon
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143, USA;
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25
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Grist JT, Chen M, Collier GJ, Raman B, AbuEid G, McIntyre A, Matthews V, Fraser E, Ho LP, Wild JM, Gleeson F. Hyperpolarized 129Xe MRI Abnormalities in Dyspneic Participants 3 Months after COVID-19 Pneumonia: Preliminary Results. Radiology 2021; 301:E353-E360. [PMID: 34032513 PMCID: PMC8168952 DOI: 10.1148/radiol.2021210033] [Citation(s) in RCA: 75] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Background SARS-CoV-2 targets angiotensin-converting enzyme 2 (ACE2) expressing
cells in the respiratory tract. There are reports of breathlessness in
patients many months post-infection. Purpose This study aimed to determine if hyperpolarized 129Xe MRI
(XeMRI) imaging could identify the possible cause of breathlessness in
patients three months after hospital discharge following COVID-19
infection. Materials and Methods This prospective study was undertaken between August and December 2020,
with patients and healthy control volunteers enrolled. All patients
underwent: lung function tests; ventilation and dissolved phase XeMRI,
with the mean Red Blood Cell (RBC):Tissue Plasma (TP) ratio to be
calculated; and a low dose chest CT scored for the degree of
post-COVID-19 abnormalities. Healthy controls underwent XeMRI. The
intraclass correlation coefficient was calculated for volunteer and
patient scans, to assess repeatability. A Wilcoxon rank-sum test and
Cohen's effect size calculated to assess for differences between
RBC:TP in patient and controls. Results 9 patients (mean age 57±7 years, Male = 6) and 5 volunteers
(29 ± 3 years, Female = 5) were enrolled. Patient mean
time from hospital discharge was 169, range 116-254 days. There was a
difference in RBC:TP between patients and controls (0.3 ± 0.1
versus 0.5 ± 0.1, respectively, p = 0.001, effect size
= 1.36). There was significant difference between the RBC and gas
phase spectral full width at half maximum (FWHM) between volunteers and
patients (median ± 95 % confidence interval, 567 ±
1 vs 507 ± 81, p = 0.002 and 104 ± 2 vs 122
± 17, p = 0.004, respectively). Results were reproducible
with Intraclass Correlation Coefficients of 0.82 and 0.88 for patients
and volunteers respectively. Participants had normal or near normal CT
scans, mean 7/25, range 0-10/25. Conclusion Xe MRI showed alveolar-capillary diffusion limitation in all 9 post
COVID-19 pneumonia patients despite normal or nearly normal CT
scans. See also the editorial by Dietrich.
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Affiliation(s)
- James T Grist
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford.,Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford.,Department of Radiology, The Churchill Hospital, Oxford NHS Foundation Trust, Oxford.,Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham
| | - Mitchell Chen
- Department of Radiology, The Churchill Hospital, Oxford NHS Foundation Trust, Oxford
| | - Guilhem J Collier
- POLARIS, Department of Infection Immunity and Cardiovascular Disease, University of Sheffield
| | - Betty Raman
- Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford
| | - Gabriele AbuEid
- Department of Radiology, The Churchill Hospital, Oxford NHS Foundation Trust, Oxford
| | - Anthony McIntyre
- Department of Radiology, The Churchill Hospital, Oxford NHS Foundation Trust, Oxford
| | - Violet Matthews
- Department of Radiology, The Churchill Hospital, Oxford NHS Foundation Trust, Oxford
| | - Emily Fraser
- Oxford Interstitial Lung Disease Service, Oxford NHS Foundation Trust
| | - Ling-Pei Ho
- MRC Human Immunology Unit, University of Oxford.,Oxford Interstitial Lung Disease Service, Oxford NHS Foundation Trust
| | - Jim M Wild
- POLARIS, Department of Infection Immunity and Cardiovascular Disease, University of Sheffield
| | - Fergus Gleeson
- Department of Radiology, The Churchill Hospital, Oxford NHS Foundation Trust, Oxford.,Department of Oncology, University of Oxford, Oxford
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26
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Bogner W, Otazo R, Henning A. Accelerated MR spectroscopic imaging-a review of current and emerging techniques. NMR IN BIOMEDICINE 2021; 34:e4314. [PMID: 32399974 PMCID: PMC8244067 DOI: 10.1002/nbm.4314] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 03/24/2020] [Accepted: 03/30/2020] [Indexed: 05/14/2023]
Abstract
Over more than 30 years in vivo MR spectroscopic imaging (MRSI) has undergone an enormous evolution from theoretical concepts in the early 1980s to the robust imaging technique that it is today. The development of both fast and efficient sampling and reconstruction techniques has played a fundamental role in this process. State-of-the-art MRSI has grown from a slow purely phase-encoded acquisition technique to a method that today combines the benefits of different acceleration techniques. These include shortening of repetition times, spatial-spectral encoding, undersampling of k-space and time domain, and use of spatial-spectral prior knowledge in the reconstruction. In this way in vivo MRSI has considerably advanced in terms of spatial coverage, spatial resolution, acquisition speed, artifact suppression, number of detectable metabolites and quantification precision. Acceleration not only has been the enabling factor in high-resolution whole-brain 1 H-MRSI, but today is also common in non-proton MRSI (31 P, 2 H and 13 C) and applied in many different organs. In this process, MRSI techniques had to constantly adapt, but have also benefitted from the significant increase of magnetic field strength boosting the signal-to-noise ratio along with high gradient fidelity and high-density receive arrays. In combination with recent trends in image reconstruction and much improved computation power, these advances led to a number of novel developments with respect to MRSI acceleration. Today MRSI allows for non-invasive and non-ionizing mapping of the spatial distribution of various metabolites' tissue concentrations in animals or humans, is applied for clinical diagnostics and has been established as an important tool for neuro-scientific and metabolism research. This review highlights the developments of the last five years and puts them into the context of earlier MRSI acceleration techniques. In addition to 1 H-MRSI it also includes other relevant nuclei and is not limited to certain body regions or specific applications.
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Affiliation(s)
- Wolfgang Bogner
- High‐Field MR Center, Department of Biomedical Imaging and Image‐Guided TherapyMedical University of ViennaViennaAustria
| | - Ricardo Otazo
- Department of Medical PhysicsMemorial Sloan Kettering Cancer CenterNew York, New YorkUSA
| | - Anke Henning
- Max Planck Institute for Biological CyberneticsTübingenGermany
- Advanced Imaging Research Center, UT Southwestern Medical CenterDallasTexasUSA
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McLean MA, Hinks RS, Kaggie JD, Woitek R, Riemer F, Graves MJ, McIntyre DJO, Gallagher FA, Schulte RF. Characterization and correction of center-frequency effects in X-nuclear eddy current compensations on a clinical MR system. Magn Reson Med 2021; 85:2370-2376. [PMID: 33274790 PMCID: PMC7898706 DOI: 10.1002/mrm.28607] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2020] [Revised: 10/23/2020] [Accepted: 10/29/2020] [Indexed: 01/25/2023]
Abstract
PURPOSE The aim of the study was to investigate whether incorrectly compensated eddy currents are the source of persistent X-nuclear spectroscopy and imaging artifacts, as well as methods to correct this. METHODS Pulse-acquire spectra were collected for 1 H and X-nuclei (23 Na or 31 P) using the minimum TR permitted on a 3T clinical MRI system. Data were collected in 3 orientations (axial, sagittal, and coronal) with the spoiler gradient at the end of the TR applied along the slice direction for each. Modifications to system calibration files to tailor eddy current compensation for each X-nucleus were developed and applied, and data were compared with and without these corrections for: slice-selective MRS (for 23 Na and 31 P), 2D spiral trajectories (for 13 C), and 3D cones trajectories (for 23 Na). RESULTS Line-shape distortions characteristic of eddy currents were demonstrated for X-nuclei, which were not seen for 1 H. The severity of these correlated with the amplitude of the eddy current frequency compensation term applied by the system along the axis of the applied spoiler gradient. A proposed correction to eddy current compensation, taking account of the gyromagnetic ratio, was shown to dramatically reduce these distortions. The same correction was also shown to improve data quality of non-Cartesian imaging (2D spiral and 3D cones trajectories). CONCLUSION A simple adaptation of the default compensation for eddy currents was shown to eliminate a range of artifacts detected on X-nuclear spectroscopy and imaging.
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Affiliation(s)
- Mary A. McLean
- Department of RadiologyUniversity of CambridgeCambridgeUnited Kingdom
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
| | | | - Joshua D. Kaggie
- Department of RadiologyUniversity of CambridgeCambridgeUnited Kingdom
| | - Ramona Woitek
- Department of RadiologyUniversity of CambridgeCambridgeUnited Kingdom
| | - Frank Riemer
- MMIV, Department of RadiologyHaukeland University HospitalBergenNorway
| | - Martin J. Graves
- Department of RadiologyUniversity of CambridgeCambridgeUnited Kingdom
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Crane JC, Gordon JW, Chen HY, Autry AW, Li Y, Olson MP, Kurhanewicz J, Vigneron DB, Larson PEZ, Xu D. Hyperpolarized 13 C MRI data acquisition and analysis in prostate and brain at University of California, San Francisco. NMR IN BIOMEDICINE 2021; 34:e4280. [PMID: 32189442 PMCID: PMC7501204 DOI: 10.1002/nbm.4280] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Revised: 01/24/2020] [Accepted: 01/27/2020] [Indexed: 06/10/2023]
Abstract
Based on the expanding set of applications for hyperpolarized carbon-13 (HP-13 C) MRI, this work aims to communicate standardized methodology implemented at the University of California, San Francisco, as a primer for conducting reproducible metabolic imaging studies of the prostate and brain. Current state-of-the-art HP-13 C acquisition, data processing/reconstruction and kinetic modeling approaches utilized in patient studies are presented together with the rationale underpinning their usage. Organized around spectroscopic and imaging-based methods, this guide provides an extensible framework for handling a variety of HP-13 C applications, which derives from two examples with dynamic acquisitions: 3D echo-planar spectroscopic imaging of the human prostate and frequency-specific 2D multislice echo-planar imaging of the human brain. Details of sequence-specific parameters and processing techniques contained in these examples should enable investigators to effectively tailor studies around individual-use cases. Given the importance of clinical integration in improving the utility of HP exams, practical aspects of standardizing data formats for reconstruction, analysis and visualization are also addressed alongside open-source software packages that enhance institutional interoperability and validation of methodology. To facilitate the adoption and further development of this methodology, example datasets and analysis pipelines have been made available in the supporting information.
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Affiliation(s)
- Jason C Crane
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Jeremy W Gordon
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Hsin-Yu Chen
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Adam W Autry
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Yan Li
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Marram P Olson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - John Kurhanewicz
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, USA
| | - Daniel B Vigneron
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, USA
| | - Peder E Z Larson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
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Macdonald EB, Begovatz P, Barton GP, Erickson-Bhatt S, Inman DR, Cox BL, Eliceiri KW, Strigel RM, Ponik SM, Fain SB. Hyperpolarized 13C Magnetic Resonance Spectroscopic Imaging of Pyruvate Metabolism in Murine Breast Cancer Models of Different Metastatic Potential. Metabolites 2021; 11:metabo11050274. [PMID: 33925445 PMCID: PMC8145849 DOI: 10.3390/metabo11050274] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/05/2021] [Accepted: 04/21/2021] [Indexed: 12/18/2022] Open
Abstract
This study uses dynamic hyperpolarized [1-13C]pyruvate magnetic resonance spectroscopic imaging (MRSI) to estimate differences in glycolytic metabolism between highly metastatic (4T1, n = 7) and metastatically dormant (4T07, n = 7) murine breast cancer models. The apparent conversion rate of pyruvate-to-lactate (kPL) and lactate-to-pyruvate area-under-the-curve ratio (AUCL/P) were estimated from the metabolite images and compared with biochemical metabolic measures and immunohistochemistry (IHC). A non-significant trend of increasing kPL (p = 0.17) and AUCL/P (p = 0.11) from 4T07 to 4T1 tumors was observed. No significant differences in tumor IHC lactate dehydrogenase-A (LDHA), monocarboxylate transporter-1 (MCT1), cluster of differentiation 31 (CD31), and hypoxia inducible factor-α (HIF-1α), tumor lactate-dehydrogenase (LDH) activity, or blood lactate or glucose levels were found between the two tumor lines. However, AUCL/P was significantly correlated with tumor LDH activity (ρspearman = 0.621, p = 0.027) and blood glucose levels (ρspearman = −0.474, p = 0.042). kPL displayed a similar, non-significant trend for LDH activity (ρspearman = 0.480, p = 0.114) and blood glucose levels (ρspearman = −0.414, p = 0.088). Neither kPL nor AUCL/P were significantly correlated with blood lactate levels or tumor LDHA or MCT1. The significant positive correlation between AUCL/P and tumor LDH activity indicates the potential of AUCL/P as a biomarker of glycolytic metabolism in breast cancer models. However, the lack of a significant difference between in vivo tumor metabolism for the two models suggest similar pyruvate-to-lactate conversion despite differing metastatic potential.
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Affiliation(s)
- Erin B. Macdonald
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (E.B.M.); (P.B.); (G.P.B.); (B.L.C.); (K.W.E.); (R.M.S.)
| | - Paul Begovatz
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (E.B.M.); (P.B.); (G.P.B.); (B.L.C.); (K.W.E.); (R.M.S.)
| | - Gregory P. Barton
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (E.B.M.); (P.B.); (G.P.B.); (B.L.C.); (K.W.E.); (R.M.S.)
| | - Sarah Erickson-Bhatt
- Morgridge Institute for Research, 330 N. Orchard St., Madison, WI 53715, USA;
- Laboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, Madison, WI 53706, USA
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (D.R.I.); (S.M.P.)
| | - David R. Inman
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (D.R.I.); (S.M.P.)
| | - Benjamin L. Cox
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (E.B.M.); (P.B.); (G.P.B.); (B.L.C.); (K.W.E.); (R.M.S.)
- Morgridge Institute for Research, 330 N. Orchard St., Madison, WI 53715, USA;
- Laboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Kevin W. Eliceiri
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (E.B.M.); (P.B.); (G.P.B.); (B.L.C.); (K.W.E.); (R.M.S.)
- Morgridge Institute for Research, 330 N. Orchard St., Madison, WI 53715, USA;
- Laboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, Madison, WI 53706, USA
- Department of Biomedical Engineering, University of Wisconsin-Madison, 1415 Engineering Dr., Madison, WI 53706, USA
- Carbone Cancer Center, University of Wisconsin-Madison, 600 Highland Ave., Madison, WI 53705, USA
| | - Roberta M. Strigel
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (E.B.M.); (P.B.); (G.P.B.); (B.L.C.); (K.W.E.); (R.M.S.)
- Carbone Cancer Center, University of Wisconsin-Madison, 600 Highland Ave., Madison, WI 53705, USA
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Ave., Madison, WI 53792, USA
| | - Suzanne M. Ponik
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (D.R.I.); (S.M.P.)
- Carbone Cancer Center, University of Wisconsin-Madison, 600 Highland Ave., Madison, WI 53705, USA
| | - Sean B. Fain
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (E.B.M.); (P.B.); (G.P.B.); (B.L.C.); (K.W.E.); (R.M.S.)
- Department of Biomedical Engineering, University of Wisconsin-Madison, 1415 Engineering Dr., Madison, WI 53706, USA
- Carbone Cancer Center, University of Wisconsin-Madison, 600 Highland Ave., Madison, WI 53705, USA
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Ave., Madison, WI 53792, USA
- Correspondence: ; Tel.: +1-608-263-0090
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Vaeggemose M, F. Schulte R, Laustsen C. Comprehensive Literature Review of Hyperpolarized Carbon-13 MRI: The Road to Clinical Application. Metabolites 2021; 11:metabo11040219. [PMID: 33916803 PMCID: PMC8067176 DOI: 10.3390/metabo11040219] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 03/31/2021] [Accepted: 04/01/2021] [Indexed: 01/02/2023] Open
Abstract
This review provides a comprehensive assessment of the development of hyperpolarized (HP) carbon-13 metabolic MRI from the early days to the present with a focus on clinical applications. The status and upcoming challenges of translating HP carbon-13 into clinical application are reviewed, along with the complexity, technical advancements, and future directions. The road to clinical application is discussed regarding clinical needs and technological advancements, highlighting the most recent successes of metabolic imaging with hyperpolarized carbon-13 MRI. Given the current state of hyperpolarized carbon-13 MRI, the conclusion of this review is that the workflow for hyperpolarized carbon-13 MRI is the limiting factor.
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Affiliation(s)
- Michael Vaeggemose
- GE Healthcare, 2605 Brondby, Denmark;
- MR Research Centre, Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark
| | | | - Christoffer Laustsen
- MR Research Centre, Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark
- Correspondence:
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Michel KA, Ragavan M, Walker CM, Merritt ME, Lai SY, Bankson JA. Comparison of selective excitation and multi-echo chemical shift encoding for imaging of hyperpolarized [1- 13C]pyruvate. JOURNAL OF MAGNETIC RESONANCE (SAN DIEGO, CALIF. : 1997) 2021; 325:106927. [PMID: 33607386 PMCID: PMC8009829 DOI: 10.1016/j.jmr.2021.106927] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 12/31/2020] [Accepted: 01/22/2021] [Indexed: 06/12/2023]
Abstract
Imaging methods for hyperpolarized (HP) 13C agents must sample the evolution of signal from multiple agents with distinct chemical shifts within a very brief timeframe (typically < 1 min), which is challenging using conventional imaging methods. In this work, we compare two of the most commonly used HP spectroscopic imaging methods, spectral-spatial selective excitation and multi-echo chemical shift encoding (CSE, also referred to as IDEAL), for a typical preclinical HP [1-13C]pyruvate imaging scan at 7 T. Both spectroscopic encoding techniques were implemented and validated in HP experiments imaging enzyme phantoms and the murine kidney. SNR performance of these two spectroscopic imaging approaches was compared in numerical simulations and phantom experiments using a single-shot flyback EPI readout for spatial encoding. With identical effective excitation angles, the SNR of images acquired with spectral-spatial excitations and CSE were found to be effectively equivalent.
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Affiliation(s)
- Keith A Michel
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States; Medical Physics Graduate Program, The University of Texas MD Anderson Cancer Center, UTHealth Graduate School of Biomedical Sciences, Houston, TX, United States
| | - Mukundan Ragavan
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL, United States
| | - Christopher M Walker
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Matthew E Merritt
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL, United States
| | - Stephen Y Lai
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - James A Bankson
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States; Medical Physics Graduate Program, The University of Texas MD Anderson Cancer Center, UTHealth Graduate School of Biomedical Sciences, Houston, TX, United States.
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Traechtler J, Vishnevskiy V, Fuetterer M, Kozerke S. Joint image and field map estimation for multi-echo hyperpolarized 13 C metabolic imaging of the heart. Magn Reson Med 2021; 86:258-276. [PMID: 33660300 DOI: 10.1002/mrm.28710] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 01/13/2021] [Accepted: 01/14/2021] [Indexed: 12/21/2022]
Abstract
PURPOSE Image reconstruction of metabolic images from hyperpolarized 13 C multi-echo data acquisition is sensitive to susceptibility-induced phase offsets, which are particularly challenging in the heart. A model-based framework for joint estimation of metabolite images and field map from echo shift-encoded data is proposed. Using simulations, it is demonstrated that correction of signal spilling due to incorrect decomposition of metabolites and geometrical distortions over a wide range of off-resonance gradients is possible. In vivo feasibility is illustrated using hyperpolarized [1-13 C]pyruvate in the pig heart. METHODS The model-based reconstruction for multi-echo, multicoil data was implemented as a nonconvex minimization problem jointly optimizing for metabolic images and B0 . A comprehensive simulation framework for echo shift-encoded hyperpolarized [1-13 C]pyruvate imaging was developed and applied to assess reconstruction performance and distortion correction of the proposed method. In vivo data were obtained in four pigs using hyperpolarized [1-13 C]pyruvate on a clinical 3T MR system with a six-channel receiver coil. Dynamic images were acquired during suspended ventilation using cardiac-triggered multi-echo single-shot echo-planar imaging in short-axis orientation. RESULTS Simulations revealed that off-resonance gradients up to ±0.26 ppm/pixel can be corrected for with reduced signal spilling and geometrical distortions yielding an accuracy of ≥90% in terms of Dice similarity index. In vivo, improved geometrical consistency (10% Dice improvement) compared to image reconstruction without field map correction and with reference to anatomical data was achieved. CONCLUSION Joint image and field map estimation allows addressing off-resonance-induced geometrical distortions and metabolite spilling in hyperpolarized 13 C metabolic imaging of the heart.
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Affiliation(s)
- Julia Traechtler
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Valery Vishnevskiy
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Maximilian Fuetterer
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
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Woitek R, Gallagher FA. The use of hyperpolarised 13C-MRI in clinical body imaging to probe cancer metabolism. Br J Cancer 2021; 124:1187-1198. [PMID: 33504974 PMCID: PMC8007617 DOI: 10.1038/s41416-020-01224-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Revised: 11/19/2020] [Accepted: 12/02/2020] [Indexed: 01/30/2023] Open
Abstract
Metabolic reprogramming is one of the hallmarks of cancer and includes the Warburg effect, which is exhibited by many tumours. This can be exploited by positron emission tomography (PET) as part of routine clinical cancer imaging. However, an emerging and alternative method to detect altered metabolism is carbon-13 magnetic resonance imaging (MRI) following injection of hyperpolarised [1-13C]pyruvate. The technique increases the signal-to-noise ratio for the detection of hyperpolarised 13C-labelled metabolites by several orders of magnitude and facilitates the dynamic, noninvasive imaging of the exchange of 13C-pyruvate to 13C-lactate over time. The method has produced promising preclinical results in the area of oncology and is currently being explored in human imaging studies. The first translational studies have demonstrated the safety and feasibility of the technique in patients with prostate, renal, breast and pancreatic cancer, as well as revealing a successful response to treatment in breast and prostate cancer patients at an earlier stage than multiparametric MRI. This review will focus on the strengths of the technique and its applications in the area of oncological body MRI including noninvasive characterisation of disease aggressiveness, mapping of tumour heterogeneity, and early response assessment. A comparison of hyperpolarised 13C-MRI with state-of-the-art multiparametric MRI is likely to reveal the unique additional information and applications offered by the technique.
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Affiliation(s)
- Ramona Woitek
- Department of Radiology, University of Cambridge, Cambridge, UK.
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
- Cancer Research UK Cambridge Centre, Cambridge, UK.
| | - Ferdia A Gallagher
- Department of Radiology, University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Centre, Cambridge, UK
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Topping GJ, Heid I, Trajkovic-Arsic M, Kritzner L, Grashei M, Hundshammer C, Aigner M, Skinner JG, Braren R, Schilling F. Hyperpolarized 13C Spectroscopy with Simple Slice-and-Frequency-Selective Excitation. Biomedicines 2021; 9:biomedicines9020121. [PMID: 33513763 PMCID: PMC7911979 DOI: 10.3390/biomedicines9020121] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 01/16/2021] [Accepted: 01/23/2021] [Indexed: 01/01/2023] Open
Abstract
Hyperpolarized 13C nuclear magnetic resonance spectroscopy can characterize in vivo tissue metabolism, including preclinical models of cancer and inflammatory disease. Broad bandwidth radiofrequency excitation is often paired with free induction decay readout for spectral separation, but quantification of low-signal downstream metabolites using this method can be impeded by spectral peak overlap or when frequency separation of the detected peaks exceeds the excitation bandwidth. In this work, alternating frequency narrow bandwidth (250 Hz) slice-selective excitation was used for 13C spectroscopy at 7 T in a subcutaneous xenograft rat model of human pancreatic cancer (PSN1) to improve quantification while measuring the dynamics of injected hyperpolarized [1-13C]lactate and its metabolite [1-13C]pyruvate. This method does not require sophisticated pulse sequences or specialized radiofrequency and gradient pulses, but rather uses nominally spatially offset slices to produce alternating frequency excitation with simpler slice-selective radiofrequency pulses. Additionally, point-resolved spectroscopy was used to calibrate the 13C frequency from the thermal proton signal in the target region. This excitation scheme isolates the small [1-13C]pyruvate peak from the similar-magnitude tail of the much larger injected [1-13C]lactate peak, facilitates quantification of the [1-13C]pyruvate signal, simplifies data processing, and could be employed for other substrates and preclinical models.
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Affiliation(s)
- Geoffrey J. Topping
- Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; (G.J.T.); (M.G.); (C.H.); (M.A.); (J.G.S.)
| | - Irina Heid
- Institute of Diagnostic and Interventional Radiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; (I.H.); (L.K.); (R.B.)
| | - Marija Trajkovic-Arsic
- Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK, Partner Site Essen), 45147 Essen, Germany;
- German Cancer Research Center, DKFZ, 69120 Heidelberg, Germany
- Institute of Developmental Cancer Therapeutics, West German Cancer Center, University Hospital Essen, 45147 Essen, Germany
| | - Lukas Kritzner
- Institute of Diagnostic and Interventional Radiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; (I.H.); (L.K.); (R.B.)
| | - Martin Grashei
- Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; (G.J.T.); (M.G.); (C.H.); (M.A.); (J.G.S.)
| | - Christian Hundshammer
- Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; (G.J.T.); (M.G.); (C.H.); (M.A.); (J.G.S.)
| | - Maximilian Aigner
- Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; (G.J.T.); (M.G.); (C.H.); (M.A.); (J.G.S.)
| | - Jason G. Skinner
- Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; (G.J.T.); (M.G.); (C.H.); (M.A.); (J.G.S.)
| | - Rickmer Braren
- Institute of Diagnostic and Interventional Radiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; (I.H.); (L.K.); (R.B.)
- German Cancer Consortium (DKTK, Partner Site Munich), 81675 Munich, Germany
| | - Franz Schilling
- Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; (G.J.T.); (M.G.); (C.H.); (M.A.); (J.G.S.)
- Correspondence:
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Hyperpolarized Carbon ( 13C) MRI of the Kidney: Experimental Protocol. Methods Mol Biol 2021. [PMID: 33476019 DOI: 10.1007/978-1-0716-0978-1_29] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
Abstract
Alterations in renal metabolism are associated with both physiological and pathophysiologic events. The existing noninvasive analytic tools including medical imaging have limited capability for investigating these processes, which potentially limits current understanding of kidney disease and the precision of its clinical diagnosis. Hyperpolarized 13C MRI is a new medical imaging modality that can capture changes in the metabolic processing of certain rapidly metabolized substrates, as well as changes in kidney function. Here we describe experimental protocols for renal metabolic [1-13C]pyruvate and functional 13C-urea imaging step-by-step. These methods and protocols are useful for investigating renal blood flow and function as well as the renal metabolic status of rodents in vivo under various experimental (patho)physiological conditions.This chapter is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers. This experimental protocol is complemented by two separate chapters describing the basic concept and data analysis.
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MRSI vs CEST MRI to understand tomato metabolism in ripening fruit: is there a better contrast? Anal Bioanal Chem 2021; 413:1251-1257. [PMID: 33404743 DOI: 10.1007/s00216-020-03101-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 11/03/2020] [Accepted: 11/26/2020] [Indexed: 12/18/2022]
Abstract
Besides structural information, magnetic resonance imaging (MRI) is crucial to reveal the presence and gradients of metabolites in organs constituted of several tissues. In plant science, such knowledge is key to better understand fruit development and metabolism. Routine methods based on fixation for cytological studies or dissection for metabolite measurements induce biases and plant sample destruction. Magnetic resonance spectroscopy imaging (MSRI) leads to one NMR spectrum per pixel while chemical exchange saturation transfer (CEST) MRI allows mapping metabolites having exchangeable protons. As both methods present different advantages and drawbacks, we compared them to map metabolites in ripe tomato fruits. We demonstrated that MRSI was difficult to interpret due to large spatial chemical shift variations while CEST MRI produced promising image mapping of the main carbohydrates and amino acids. It showed that glucose/fructose was mostly located in the locular tissue, whereas glutamate/glutamine/GABA was found inside the columella.Graphical abstract.
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Abstract
Spatial resolution of metabolic imaging with hyperpolarized 13C-labeled substrates is limited owing to the multidimensional nature of spectroscopic imaging and the transient characteristics of dissolution dynamic nuclear polarization. In this study, a patch-based algorithm (PA) is proposed to enhance spatial resolution of hyperpolarized 13C human brain images by exploiting compartmental information from the corresponding high-resolution 1H images. PA was validated in simulation and phantom studies. Effects of signal-to-noise ratio, upsampling factor, segmentation, and slice thickness on reconstructing 13C images were evaluated in simulation. PA was further applied to low-resolution human brain metabolite maps of hyperpolarized [1-13C] pyruvate and [1-13C] lactate with 3 compartment segmentations (gray matter, white matter, and cerebrospinal fluid). The performance of PA was compared with other conventional interpolation methods (sinc, nearest-neighbor, bilinear, and spline interpolations). The simulation and the phantom tests showed that PA improved spatial resolution by up to 8 times and enhanced the image contrast without compromising quantification accuracy or losing the intracompartment signal inhomogeneity, even in the case of low signal-to-noise ratio or inaccurate segmentation. PA also improved spatial resolution and image contrast of human 13C brain images. Dynamic analysis showed consistent performance of the proposed method even with the signal decay along time. In conclusion, PA can enhance low-resolution hyperpolarized 13C images in terms of spatial resolution and contrast by using a priori knowledge from high-resolution 1H magnetic resonance imaging while preserving quantification accuracy and intracompartment signal inhomogeneity.
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Affiliation(s)
| | - Jae Mo Park
- Advanced Imaging Research Center
- Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX; and
- Department of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson, TX
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Collier GJ, Eaden JA, Hughes PJC, Bianchi SM, Stewart NJ, Weatherley ND, Norquay G, Schulte RF, Wild JM. Dissolved
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Xe lung MRI with four‐echo 3D radial spectroscopic imaging: Quantification of regional gas transfer in idiopathic pulmonary fibrosis. Magn Reson Med 2020; 85:2622-2633. [DOI: 10.1002/mrm.28609] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 10/30/2020] [Accepted: 11/02/2020] [Indexed: 01/03/2023]
Affiliation(s)
- Guilhem J. Collier
- POLARIS, Department of Infection Immunity & Cardiovascular Disease University of Sheffield Sheffield United Kingdom
| | - James A. Eaden
- POLARIS, Department of Infection Immunity & Cardiovascular Disease University of Sheffield Sheffield United Kingdom
| | - Paul J. C. Hughes
- POLARIS, Department of Infection Immunity & Cardiovascular Disease University of Sheffield Sheffield United Kingdom
| | - Stephen M. Bianchi
- Academic Directorate of Respiratory Medicine Sheffield Teaching Hospitals NHS Foundation Trust Sheffield United Kingdom
| | - Neil J. Stewart
- POLARIS, Department of Infection Immunity & Cardiovascular Disease University of Sheffield Sheffield United Kingdom
| | - Nicholas D. Weatherley
- POLARIS, Department of Infection Immunity & Cardiovascular Disease University of Sheffield Sheffield United Kingdom
| | - Graham Norquay
- POLARIS, Department of Infection Immunity & Cardiovascular Disease University of Sheffield Sheffield United Kingdom
| | | | - Jim M. Wild
- POLARIS, Department of Infection Immunity & Cardiovascular Disease University of Sheffield Sheffield United Kingdom
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Grist JT, Hansen ES, Sánchez‐Heredia JD, McLean MA, Tougaard R, Riemer F, Schulte RF, Kaggie JD, Ardenkjaer‐Larsen JH, Laustsen C, Gallagher FA. Creating a clinical platform for carbon-13 studies using the sodium-23 and proton resonances. Magn Reson Med 2020; 84:1817-1827. [PMID: 32167199 PMCID: PMC8638662 DOI: 10.1002/mrm.28238] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 02/06/2020] [Accepted: 02/08/2020] [Indexed: 01/01/2023]
Abstract
PURPOSE Calibration of hyperpolarized 13 C-MRI is limited by the low signal from endogenous carbon-containing molecules and consequently requires 13 C-enriched external phantoms. This study investigated the feasibility of using either 23 Na-MRI or 1 H-MRI to calibrate the 13 C excitation. METHODS Commercial 13 C-coils were used to estimate the transmit gain and center frequency for 13 C and 23 Na resonances. Simulations of the transmit B1 profile of a Helmholtz loop were performed. Noise correlation was measured for both nuclei. A retrospective analysis of human data assessing the use of the 1 H resonance to predict [1-13 C]pyruvate center frequency was also performed. In vivo experiments were undertaken in the lower limbs of 6 pigs following injection of hyperpolarized 13 C-pyruvate. RESULTS The difference in center frequencies and transmit gain between tissue 23 Na and [1-13 C]pyruvate was reproducible, with a mean scale factor of 1.05179 ± 0.00001 and 10.4 ± 0.2 dB, respectively. Utilizing the 1 H water peak, it was possible to retrospectively predict the 13 C-pyruvate center frequency with a standard deviation of only 11 Hz sufficient for spectral-spatial excitation-based studies. CONCLUSION We demonstrate the feasibility of using the 23 Na and 1 H resonances to calibrate the 13 C transmit B1 using commercially available 13 C-coils. The method provides a simple approach for in vivo calibration and could improve clinical workflow.
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Affiliation(s)
- James T. Grist
- Department of RadiologyUniversity of CambridgeCambridgeUnited Kingdom
- Institute of Cancer and Genomic SciencesUniversity of BirminghamBirminghamUnited Kingdom
| | | | | | - Mary A. McLean
- Department of RadiologyUniversity of CambridgeCambridgeUnited Kingdom
- CRUKCambridge InstituteCambridgeUnited Kingdom
| | | | - Frank Riemer
- Department of RadiologyUniversity of CambridgeCambridgeUnited Kingdom
| | | | - Joshua D. Kaggie
- Department of RadiologyUniversity of CambridgeCambridgeUnited Kingdom
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Tyler A, Lau JYC, Ball V, Timm KN, Zhou T, Tyler DJ, Miller JJ. A 3D hybrid-shot spiral sequence for hyperpolarized 13 C imaging. Magn Reson Med 2020; 85:790-801. [PMID: 32894618 PMCID: PMC7611357 DOI: 10.1002/mrm.28462] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 06/30/2020] [Accepted: 07/14/2020] [Indexed: 01/30/2023]
Abstract
Purpose Hyperpolarized imaging experiments have conflicting requirements of high spatial, temporal, and spectral resolution. Spectral-spatial RF excitation has been shown to form an attractive magnetization-efficient method for hyperpolarized imaging, but the optimum readout strategy is not yet known. Methods In this work, we propose a novel 3D hybrid-shot spiral sequence which features two constant density regions that permit the retrospective reconstruction of either high spatial or high temporal resolution images post hoc, (adaptive spatiotemporal imaging) allowing greater flexibility in acquisition and reconstruction. Results We have implemented this sequence, both via simulation and on a preclinical scanner, to demonstrate its feasibility, in both a 1H phantom and with hyperpolarized 13C pyruvate in vivo. Conclusions This sequence forms an attractive method for acquiring hyperpolarized imaging datasets, providing adaptive spatiotemporal imaging to ameliorate the conflict of spatial and temporal resolution, with significant potential for clinical translation.
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Affiliation(s)
- Andrew Tyler
- Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, United Kingdom.,Oxford Centre for Clinical Cardiac Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Headington, United Kingdom
| | - Justin Y C Lau
- Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, United Kingdom.,Oxford Centre for Clinical Cardiac Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Headington, United Kingdom
| | - Vicky Ball
- Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, United Kingdom
| | - Kerstin N Timm
- Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, United Kingdom
| | - Tony Zhou
- Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, United Kingdom.,Oxford Centre for Clinical Cardiac Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Headington, United Kingdom
| | - Damian J Tyler
- Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, United Kingdom.,Oxford Centre for Clinical Cardiac Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Headington, United Kingdom
| | - Jack J Miller
- Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, United Kingdom.,Oxford Centre for Clinical Cardiac Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Headington, United Kingdom.,Department of Physics, Clarendon Laboratory, University of Oxford, Oxford, United Kingdom
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Deh K, Granlund KL, Eskandari R, Kim N, Mamakhanyan A, Keshari KR. Dynamic volumetric hyperpolarized 13 C imaging with multi-echo EPI. Magn Reson Med 2020; 85:978-986. [PMID: 32820566 DOI: 10.1002/mrm.28466] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 07/07/2020] [Accepted: 07/15/2020] [Indexed: 11/10/2022]
Abstract
PURPOSE To generate dynamic, volumetric maps of hyperpolarized [1-13 C]pyruvate and its metabolic products in vivo. METHODS Maps of chemical species were generated with iterative least squares (IDEAL) reconstruction from multiecho echo-planar imaging (EPI) of phantoms of thermally polarized 13 C-labeled chemicals and mice injected with hyperpolarized [1-13 C]pyruvate on a preclinical 3T scanner. The quality of the IDEAL decomposition of single-shot and multishot phantom images was evaluated using quantitative results from a simple pulse-and-acquire sequence as the gold standard. Time course and area-under-the-curve plots were created to analyze the distribution of metabolites in vivo. RESULTS Improved separation of chemical species by IDEAL, evaluated by the amount of residual signal measured for chemicals not present in the phantoms, was observed as the number of EPI shots was increased from one to four. Dynamic three-dimensional metabolite maps of [1-13 C]pyruvate,[1-13 C]pyruvatehydrate, [1-13 C]lactate, [1-13 C]bicarbonate, and [1-13 C]alanine generated by IDEAL from interleaved multishot multiecho EPI of live mice were used to construct time course and area-under-the-curve graphs for the heart, kidneys, and liver, which showed good agreement with previously published results. CONCLUSIONS IDEAL decomposition of multishot multiecho 13C EPI images is a simple, yet robust method for generating high-quality dynamic volumetric maps of hyperpolarized [1-13 C]pyruvate and its products in vivo and has potential applications for the assessment of multiorgan metabolic phenomena.
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Affiliation(s)
- Kofi Deh
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Kristin L Granlund
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Roozbeh Eskandari
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Nathaniel Kim
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Arsen Mamakhanyan
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Kayvan R Keshari
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA
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Woitek R, McLean MA, Gill AB, Grist JT, Provenzano E, Patterson AJ, Ursprung S, Torheim T, Zaccagna F, Locke M, Laurent MC, Hilborne S, Frary A, Beer L, Rundo L, Patterson I, Slough R, Kane J, Biggs H, Harrison E, Lanz T, Basu B, Baird R, Sala E, Graves MJ, Gilbert FJ, Abraham JE, Caldas C, Brindle KM, Gallagher FA. Hyperpolarized 13C MRI of Tumor Metabolism Demonstrates Early Metabolic Response to Neoadjuvant Chemotherapy in Breast Cancer. Radiol Imaging Cancer 2020; 2:e200017. [PMID: 32803167 PMCID: PMC7398116 DOI: 10.1148/rycan.2020200017] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 03/24/2020] [Accepted: 04/15/2020] [Indexed: 04/12/2023]
Abstract
Purpose To compare hyperpolarized carbon 13 (13C) MRI with dynamic contrast material-enhanced (DCE) MRI in the detection of early treatment response in breast cancer. Materials and Methods In this institutional review board-approved prospective study, a woman with triple-negative breast cancer (age, 49 years) underwent 13C MRI after injection of hyperpolarized [1-carbon 13 {13C}]-pyruvate and DCE MRI at 3 T at baseline and after one cycle of neoadjuvant therapy. The 13C-labeled lactate-to-pyruvate ratio derived from hyperpolarized 13C MRI and the pharmacokinetic parameters transfer constant (K trans) and washout parameter (k ep) derived from DCE MRI were compared before and after treatment. Results Exchange of the 13C label between injected hyperpolarized [1-13C]-pyruvate and the endogenous lactate pool was observed, catalyzed by the enzyme lactate dehydrogenase. After one cycle of neoadjuvant chemotherapy, a 34% reduction in the 13C-labeled lactate-to-pyruvate ratio resulted in correct identification of the patient as a responder to therapy, which was subsequently confirmed via a complete pathologic response. However, DCE MRI showed an increase in mean K trans (132%) and mean k ep (31%), which could be incorrectly interpreted as a poor response to treatment. Conclusion Hyperpolarized 13C MRI enabled successful identification of breast cancer response after one cycle of neoadjuvant chemotherapy and may improve response prediction when used in conjunction with multiparametric proton MRI.Published under a CC BY 4.0 license.
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Affiliation(s)
- Ramona Woitek
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Mary A. McLean
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Andrew B. Gill
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - James T. Grist
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Elena Provenzano
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Andrew J. Patterson
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Stephan Ursprung
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Turid Torheim
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Fulvio Zaccagna
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Matthew Locke
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Marie-Christine Laurent
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Sarah Hilborne
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Amy Frary
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Lucian Beer
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Leonardo Rundo
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Ilse Patterson
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Rhys Slough
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Justine Kane
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Heather Biggs
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Emma Harrison
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Titus Lanz
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Bristi Basu
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Richard Baird
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Evis Sala
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Martin J. Graves
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Fiona J. Gilbert
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Jean E. Abraham
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Carlos Caldas
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Kevin M. Brindle
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
| | - Ferdia A. Gallagher
- From the Departments of Radiology (R.W., A.B.G., J.T.G., A.J.P., S.U., F.Z., M.L., M.C.L., S.H., A.F., L.B., L.R., E.S., M.J.G., F.J.G., F.A.G.), Oncology (J.K., H.B., E.H., B.B., R.B., J.E.A., C.C.), and Biochemistry (K.M.B.), the Cambridge Breast Cancer Research Unit (E.P., J.K., H.B., E.H., R.B., J.E.A., C.C.), University of Cambridge, Cambridge, England; Departments of Radiology (A.J.P., I.P., R.S., M.J.G., F.J.G., F.A.G.) and Histopathology (E.P.), Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England; Cancer Research UK Cambridge Centre, Cambridge, England (R.W., M.A.M., E.P., T.T., L.B., L.R., E.S., J.E.A., C.C., K.M.B., F.A.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria (R.W., L.B.); Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, England (M.A.M., T.T., C.C., K.M.B.); and RAPID Biomedical, Rimpar, Germany (T.L.)
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Müller CA, Hundshammer C, Braeuer M, Skinner JG, Berner S, Leupold J, Düwel S, Nekolla SG, Månsson S, Hansen AE, von Elverfeldt D, Ardenkjaer-Larsen JH, Schilling F, Schwaiger M, Hennig J, Hövener JB. Dynamic 2D and 3D mapping of hyperpolarized pyruvate to lactate conversion in vivo with efficient multi-echo balanced steady-state free precession at 3 T. NMR IN BIOMEDICINE 2020; 33:e4291. [PMID: 32154970 DOI: 10.1002/nbm.4291] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 02/20/2020] [Accepted: 02/21/2020] [Indexed: 06/10/2023]
Abstract
The aim of this study was to acquire the transient MRI signal of hyperpolarized tracers and their metabolites efficiently, for which specialized imaging sequences are required. In this work, a multi-echo balanced steady-state free precession (me-bSSFP) sequence with Iterative Decomposition with Echo Asymmetry and Least squares estimation (IDEAL) reconstruction was implemented on a clinical 3 T positron-emission tomography/MRI system for fast 2D and 3D metabolic imaging. Simulations were conducted to obtain signal-efficient sequence protocols for the metabolic imaging of hyperpolarized biomolecules. The sequence was applied in vitro and in vivo for probing the enzymatic exchange of hyperpolarized [1-13 C]pyruvate and [1-13 C]lactate. Chemical shift resolution was achieved using a least-square, iterative chemical species separation algorithm in the reconstruction. In vitro, metabolic conversion rate measurements from me-bSSFP were compared with NMR spectroscopy and free induction decay-chemical shift imaging (FID-CSI). In vivo, a rat MAT-B-III tumor model was imaged with me-bSSFP and FID-CSI. 2D metabolite maps of [1-13 C]pyruvate and [1-13 C]lactate acquired with me-bSSFP showed the same spatial distributions as FID-CSI. The pyruvate-lactate conversion kinetics measured with me-bSSFP and NMR corresponded well. Dynamic 2D metabolite mapping with me-bSSFP enabled the acquisition of up to 420 time frames (scan time: 180-350 ms/frame) before the hyperpolarized [1-13 C]pyruvate was relaxed below noise level. 3D metabolite mapping with a large field of view (180 × 180 × 48 mm3 ) and high spatial resolution (5.6 × 5.6 × 2 mm3 ) was conducted with me-bSSFP in a scan time of 8.2 seconds. It was concluded that Me-bSSFP improves the spatial and temporal resolution for metabolic imaging of hyperpolarized [1-13 C]pyruvate and [1-13 C]lactate compared with either of the FID-CSI or EPSI methods reported at 3 T, providing new possibilities for clinical and preclinical applications.
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Affiliation(s)
- Christoph A Müller
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Consortium for Translational Cancer Research (DKTK), Partnersite Freiburg, German Center for Cancer Research (DKFZ), Heidelberg, Germany
| | - Christian Hundshammer
- Department of Nuclear Medicine, University Hospital rechts der Isar, Munich, Germany
- Department of Chemistry, Technical University of Munich, Garching, Germany
- Munich School of Bioengineering, Technical University of Munich, Garching, Germany
| | - Miriam Braeuer
- Department of Nuclear Medicine, University Hospital rechts der Isar, Munich, Germany
| | - Jason G Skinner
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Department of Nuclear Medicine, University Hospital rechts der Isar, Munich, Germany
| | - Stephan Berner
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Consortium for Translational Cancer Research (DKTK), Partnersite Freiburg, German Center for Cancer Research (DKFZ), Heidelberg, Germany
| | - Jochen Leupold
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Stephan Düwel
- Department of Nuclear Medicine, University Hospital rechts der Isar, Munich, Germany
| | - Stephan G Nekolla
- Department of Nuclear Medicine, University Hospital rechts der Isar, Munich, Germany
| | - Sven Månsson
- Medical Radiation Physics, Department of Translational Medicine, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Adam E Hansen
- Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, University of Copenhagen, Denmark
| | - Dominik von Elverfeldt
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | | | - Franz Schilling
- Department of Nuclear Medicine, University Hospital rechts der Isar, Munich, Germany
| | - Markus Schwaiger
- Department of Nuclear Medicine, University Hospital rechts der Isar, Munich, Germany
| | - Jürgen Hennig
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jan-Bernd Hövener
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center Schleswig Holstein (UKSH), Kiel University, Germany
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44
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Topping GJ, Hundshammer C, Nagel L, Grashei M, Aigner M, Skinner JG, Schulte RF, Schilling F. Acquisition strategies for spatially resolved magnetic resonance detection of hyperpolarized nuclei. MAGMA (NEW YORK, N.Y.) 2020; 33:221-256. [PMID: 31811491 PMCID: PMC7109201 DOI: 10.1007/s10334-019-00807-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 10/08/2019] [Accepted: 11/21/2019] [Indexed: 12/13/2022]
Abstract
Hyperpolarization is an emerging method in magnetic resonance imaging that allows nuclear spin polarization of gases or liquids to be temporarily enhanced by up to five or six orders of magnitude at clinically relevant field strengths and administered at high concentration to a subject at the time of measurement. This transient gain in signal has enabled the non-invasive detection and imaging of gas ventilation and diffusion in the lungs, perfusion in blood vessels and tissues, and metabolic conversion in cells, animals, and patients. The rapid development of this method is based on advances in polarizer technology, the availability of suitable probe isotopes and molecules, improved MRI hardware and pulse sequence development. Acquisition strategies for hyperpolarized nuclei are not yet standardized and are set up individually at most sites depending on the specific requirements of the probe, the object of interest, and the MRI hardware. This review provides a detailed introduction to spatially resolved detection of hyperpolarized nuclei and summarizes novel and previously established acquisition strategies for different key areas of application.
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Affiliation(s)
- Geoffrey J Topping
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Christian Hundshammer
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Luca Nagel
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Martin Grashei
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Maximilian Aigner
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Jason G Skinner
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | | | - Franz Schilling
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
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45
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Diefenbach MN, Liu C, Karampinos DC. Generalized parameter estimation in multi-echo gradient-echo-based chemical species separation. Quant Imaging Med Surg 2020; 10:554-567. [PMID: 32269917 DOI: 10.21037/qims.2020.02.07] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
To develop a generalized formulation for multi-echo gradient-echo-based chemical species separation for all MR signal models described by a weighted sum of complex exponentials with phases linear in the echo time. Constraints between estimation parameters in the signal model were abstracted into a matrix formulation of a generic parameter gradient. The signal model gradient was used in a parameter estimation algorithm and the Fisher information matrix. The general formulation was tested in numerical simulations and against literature and in vivo results. The proposed gradient-based parameter estimation and experimental design framework is universally applicable over the whole class of signal models using the matrix abstraction of the signal model-specific parameter constraints as input. Several previous results in magnetic-field mapping and water-fat imaging with different models could successfully be replicated with the same framework and only different input matrices. A framework for generalized parameter estimation in multi-echo gradient-echo MR signal models of multiple chemical species was developed and validated and its software version is freely available online.
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Affiliation(s)
- Maximilian N Diefenbach
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Chunlei Liu
- Department of Electrical Engineering and Computer Sciences & Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany
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Song JE, Shin J, Lee H, Choi YS, Song HT, Kim DH. Dynamic hyperpolarized 13 C MR spectroscopic imaging using SPICE in mouse kidney at 9.4 T. NMR IN BIOMEDICINE 2020; 33:e4230. [PMID: 31856426 DOI: 10.1002/nbm.4230] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 10/29/2019] [Accepted: 11/04/2019] [Indexed: 05/16/2023]
Abstract
This study aims to investigate the feasibility of dynamic hyperpolarized 13 C MR spectroscopic imaging (MRSI) using the SPectroscopic Imaging by exploiting spatiospectral CorrElation (SPICE) technique and an estimation of the spatially resolved conversion constant rate (kpl ). An acquisition scheme comprising a single training dataset and several imaging datasets was proposed considering hyperpolarized 13 C circumstances. The feasibility and advantage of the scheme were investigated in two parts: (a) consistency of spectral basis over time and (b) accuracy of the estimated kpl . The simulations and in vivo experiments support accurate kpl estimation with consistent spectral bases. The proposed method was implemented in an enzyme phantom and via in vivo experiments. In the enzyme phantom experiments, spatially resolved homogeneous kpl maps were observed. In the in vivo experiments, normal diet (ND) mice and high-fat diet (HFD) mice had kpl (s-1 ) values of medullar (ND: 0.0119 ± 0.0022, HFD: 0.0195 ± 0.0005) and cortical (ND: 0.0148 ±0.0023, HFD: 0.0224 ±0.0054) regions which were higher than vascular (ND: 0.0087 ±0.0013, HFD: 0.0132 ±0.0050) regions. In particular, the kpl value in the medullar region exhibited a significant difference between the two diet groups. In summary, the feasibility of using modified SPICE for dynamic hyperpolarized 13 C MRSI was demonstrated via simulations and in vivo experiments. The consistency of spectral bases over time and the accuracy of the estimated kpl values validate the proposed acquisition scheme, which comprises only a single training dataset. The proposed method improved the spatial resolution of dynamic hyperpolarized 13 C MRSI, which could be used for kpl estimation using high signal-to-noise ratio spectral bases.
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Affiliation(s)
- Jae Eun Song
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea
| | - Jaewook Shin
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea
| | - Hansol Lee
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea
| | - Young-Suk Choi
- Department of Radiology and Research Institute of Radiological Science, College of Medicine, Yonsei University, Seoul, South Korea
| | - Ho-Taek Song
- Department of Radiology and Research Institute of Radiological Science, College of Medicine, Yonsei University, Seoul, South Korea
| | - Dong-Hyun Kim
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea
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Tang S, Bok R, Qin H, Reed G, VanCriekinge M, Delos Santos R, Overall W, Santos J, Gordon J, Wang ZJ, Vigneron DB, Larson PEZ. A metabolite-specific 3D stack-of-spiral bSSFP sequence for improved lactate imaging in hyperpolarized [1- 13 C]pyruvate studies on a 3T clinical scanner. Magn Reson Med 2020; 84:1113-1125. [PMID: 32086845 DOI: 10.1002/mrm.28204] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 12/23/2019] [Accepted: 01/17/2020] [Indexed: 01/17/2023]
Abstract
PURPOSE The balanced steady-state free precession sequence has been previously explored to improve the efficient use of nonrecoverable hyperpolarized 13C magnetization, but suffers from poor spectral selectivity and long acquisition time. The purpose of this study was to develop a novel metabolite-specific 3D bSSFP ("MS-3DSSFP") sequence with stack-of-spiral readouts for improved lactate imaging in hyperpolarized [1-13 C]pyruvate studies on a clinical 3T scanner. METHODS Simulations were performed to evaluate the spectral response of the MS-3DSSFP sequence. Thermal 13C phantom experiments were performed to validate the MS-3DSSFP sequence. In vivo hyperpolarized [1-13 C], pyruvate studies were performed to compare the MS-3DSSFP sequence with metabolite-specific gradient echo ("MS-GRE") sequences for lactate imaging. RESULTS Simulations, phantom, and in vivo studies demonstrate that the MS-3DSSFP sequence achieved spectrally selective excitation on lactate while minimally perturbing other metabolites. Compared with MS-GRE sequences, the MS-3DSSFP sequence showed approximately a 2.5-fold SNR improvement for lactate imaging in rat kidneys, prostate tumors in a mouse model, and human kidneys. CONCLUSIONS Improved lactate imaging using the MS-3DSSFP sequence in hyperpolarized [1-13 C]pyruvate studies was demonstrated in animals and humans. The MS-3DSSFP sequence could be applied for other clinical applications such as in the brain or adapted for imaging other metabolites such as pyruvate and bicarbonate.
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Affiliation(s)
- Shuyu Tang
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, CA, USA.,Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Robert Bok
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Hecong Qin
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, CA, USA.,Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | | | - Mark VanCriekinge
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Romelyn Delos Santos
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - William Overall
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Juan Santos
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Jeremy Gordon
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Zhen Jane Wang
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, CA, USA.,Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Daniel B Vigneron
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, CA, USA.,Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Peder E Z Larson
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, CA, USA.,Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
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48
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Gordon JW, Chen HY, Dwork N, Tang S, Larson PEZ. Fast Imaging for Hyperpolarized MR Metabolic Imaging. J Magn Reson Imaging 2020; 53:686-702. [PMID: 32039520 DOI: 10.1002/jmri.27070] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Revised: 01/10/2020] [Accepted: 01/13/2020] [Indexed: 12/14/2022] Open
Abstract
MRI with hyperpolarized carbon-13 agents has created a new type of noninvasive, in vivo metabolic imaging that can be applied in cell, animal, and human studies. The use of 13 C-labeled agents, primarily [1-13 C]pyruvate, enables monitoring of key metabolic pathways with the ability to image substrate and products based on their chemical shift. Over 10 sites worldwide are now performing human studies with this new approach for studies of cancer, heart disease, liver disease, and kidney disease. Hyperpolarized metabolic imaging studies must be performed within several minutes following creation of the hyperpolarized agent due to irreversible decay of the net magnetization back to equilibrium, so fast imaging methods are critical. The imaging methods must include multiple metabolites, separated based on their chemical shift, which are also undergoing rapid metabolic conversion (via label exchange), further exacerbating the challenges of fast imaging. This review describes the state-of-the-art in fast imaging methods for hyperpolarized metabolic imaging. This includes the approach and tradeoffs between three major categories of fast imaging methods-fast spectroscopic imaging, model-based strategies, and metabolite specific imaging-as well additional options of parallel imaging, compressed sensing, tailored RF flip angles, refocused imaging methods, and calibration methods that can improve the scan coverage, speed, signal-to-noise ratio (SNR), resolution, and/or robustness of these studies. To date, these approaches have produced extremely promising initial human imaging results. Improvements to fast hyperpolarized metabolic imaging methods will provide better coverage, SNR, resolution, and reproducibility for future human imaging studies. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY STAGE: 1.
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Affiliation(s)
- Jeremy W Gordon
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA
| | - Hsin-Yu Chen
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA
| | - Nicholas Dwork
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA
| | - Shuyu Tang
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA.,UC Berkeley/UCSF Graduate Program in Bioengineering, Berkeley, California, USA
| | - Peder E Z Larson
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA.,UC Berkeley/UCSF Graduate Program in Bioengineering, Berkeley, California, USA
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49
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Gallagher FA, Woitek R, McLean MA, Gill AB, Manzano Garcia R, Provenzano E, Riemer F, Kaggie J, Chhabra A, Ursprung S, Grist JT, Daniels CJ, Zaccagna F, Laurent MC, Locke M, Hilborne S, Frary A, Torheim T, Boursnell C, Schiller A, Patterson I, Slough R, Carmo B, Kane J, Biggs H, Harrison E, Deen SS, Patterson A, Lanz T, Kingsbury Z, Ross M, Basu B, Baird R, Lomas DJ, Sala E, Wason J, Rueda OM, Chin SF, Wilkinson IB, Graves MJ, Abraham JE, Gilbert FJ, Caldas C, Brindle KM. Imaging breast cancer using hyperpolarized carbon-13 MRI. Proc Natl Acad Sci U S A 2020; 117:2092-2098. [PMID: 31964840 PMCID: PMC6995024 DOI: 10.1073/pnas.1913841117] [Citation(s) in RCA: 111] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Our purpose is to investigate the feasibility of imaging tumor metabolism in breast cancer patients using 13C magnetic resonance spectroscopic imaging (MRSI) of hyperpolarized 13C label exchange between injected [1-13C]pyruvate and the endogenous tumor lactate pool. Treatment-naïve breast cancer patients were recruited: four triple-negative grade 3 cancers; two invasive ductal carcinomas that were estrogen and progesterone receptor-positive (ER/PR+) and HER2/neu-negative (HER2-), one grade 2 and one grade 3; and one grade 2 ER/PR+ HER2- invasive lobular carcinoma (ILC). Dynamic 13C MRSI was performed following injection of hyperpolarized [1-13C]pyruvate. Expression of lactate dehydrogenase A (LDHA), which catalyzes 13C label exchange between pyruvate and lactate, hypoxia-inducible factor-1 (HIF1α), and the monocarboxylate transporters MCT1 and MCT4 were quantified using immunohistochemistry and RNA sequencing. We have demonstrated the feasibility and safety of hyperpolarized 13C MRI in early breast cancer. Both intertumoral and intratumoral heterogeneity of the hyperpolarized pyruvate and lactate signals were observed. The lactate-to-pyruvate signal ratio (LAC/PYR) ranged from 0.021 to 0.473 across the tumor subtypes (mean ± SD: 0.145 ± 0.164), and a lactate signal was observed in all of the grade 3 tumors. The LAC/PYR was significantly correlated with tumor volume (R = 0.903, P = 0.005) and MCT 1 (R = 0.85, P = 0.032) and HIF1α expression (R = 0.83, P = 0.043). Imaging of hyperpolarized [1-13C]pyruvate metabolism in breast cancer is feasible and demonstrated significant intertumoral and intratumoral metabolic heterogeneity, where lactate labeling correlated with MCT1 expression and hypoxia.
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Affiliation(s)
- Ferdia A Gallagher
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge CB2 0QQ, United Kingdom
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, United Kingdom
| | - Ramona Woitek
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom;
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, United Kingdom
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Mary A McLean
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, United Kingdom
| | - Andrew B Gill
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
| | - Raquel Manzano Garcia
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge CB2 0RE, United Kingdom
| | - Elena Provenzano
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, United Kingdom
- Cambridge Breast Cancer Research Unit, Addenbrooke's Hospital, Cambridge University Hospital National Health Service Foundation Trust, Cambridge CB2 0QQ, United Kingdom
- Department of Histopathology, Addenbrooke's Hospital, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Frank Riemer
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
| | - Joshua Kaggie
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
| | - Anita Chhabra
- Pharmacy Department, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge, United Kingdom
| | - Stephan Ursprung
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, United Kingdom
| | - James T Grist
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
| | - Charlie J Daniels
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
| | - Fulvio Zaccagna
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
| | | | - Matthew Locke
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
| | - Sarah Hilborne
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
| | - Amy Frary
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
| | - Turid Torheim
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge CB2 0RE, United Kingdom
| | - Chris Boursnell
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge CB2 0RE, United Kingdom
| | - Amy Schiller
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Ilse Patterson
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Rhys Slough
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Bruno Carmo
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Justine Kane
- Cambridge Breast Cancer Research Unit, Addenbrooke's Hospital, Cambridge University Hospital National Health Service Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Heather Biggs
- Cambridge Breast Cancer Research Unit, Addenbrooke's Hospital, Cambridge University Hospital National Health Service Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Emma Harrison
- Cambridge Breast Cancer Research Unit, Addenbrooke's Hospital, Cambridge University Hospital National Health Service Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Surrin S Deen
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
| | - Andrew Patterson
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Titus Lanz
- RAPID Biomedical GmbH, 97222 Rimpar, Germany
| | - Zoya Kingsbury
- Medical Genomics Research, Illumina, Great Abington, Cambridge CB21 6DF, United Kingdom
| | - Mark Ross
- Medical Genomics Research, Illumina, Great Abington, Cambridge CB21 6DF, United Kingdom
| | - Bristi Basu
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, United Kingdom
- Department of Oncology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
| | - Richard Baird
- Cambridge Breast Cancer Research Unit, Addenbrooke's Hospital, Cambridge University Hospital National Health Service Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - David J Lomas
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
| | - Evis Sala
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge CB2 0QQ, United Kingdom
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, United Kingdom
| | - James Wason
- Medical Research Council Biostatistics Unit, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
- Institute of Health and Society, Newcastle University, Newcastle-upon-Tyne NE2 4AX, United Kingdom
| | - Oscar M Rueda
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge CB2 0RE, United Kingdom
| | - Suet-Feung Chin
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge CB2 0RE, United Kingdom
| | - Ian B Wilkinson
- Department of Experimental Medicine and Immunotherapeutics, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
| | - Martin J Graves
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Jean E Abraham
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, United Kingdom
- Cambridge Breast Cancer Research Unit, Addenbrooke's Hospital, Cambridge University Hospital National Health Service Foundation Trust, Cambridge CB2 0QQ, United Kingdom
- Department of Oncology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
| | - Fiona J Gilbert
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge CB2 0QQ, United Kingdom
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, United Kingdom
| | - Carlos Caldas
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge CB2 0RE, United Kingdom
- Cambridge Breast Cancer Research Unit, Addenbrooke's Hospital, Cambridge University Hospital National Health Service Foundation Trust, Cambridge CB2 0QQ, United Kingdom
- Department of Oncology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
| | - Kevin M Brindle
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge CB2 0RE, United Kingdom
- Department of Biochemistry, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
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Stewart NJ, Matsumoto S. Biomedical Applications of the Dynamic Nuclear Polarization and Parahydrogen Induced Polarization Techniques for Hyperpolarized 13C MR Imaging. Magn Reson Med Sci 2019; 20:1-17. [PMID: 31902907 PMCID: PMC7952198 DOI: 10.2463/mrms.rev.2019-0094] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Since the first pioneering report of hyperpolarized [1-13C]pyruvate magnetic resonance imaging (MRI) of the Warburg effect in prostate cancer patients, clinical dissemination of the technique has been rapid; close to 10 sites worldwide now possess a polarizer fit for the clinic, and more than 30 clinical trials, predominantly for oncological applications, are already registered on the US and European clinical trials databases. Hyperpolarized 13C probes to study pathophysiological processes beyond the Warburg effect, including tricarboxylic acid cycle metabolism, intra-cellular pH and cellular necrosis have also been demonstrated in the preclinical arena and are pending clinical translation, and the simultaneous injection of multiple co-polarized agents is opening the door to high-sensitivity, multi-functional molecular MRI with a single dose. Here, we review the biomedical applications to date of the two polarization methods that have been used for in vivo hyperpolarized 13C molecular MRI; namely, dissolution dynamic nuclear polarization and parahydrogen-induced polarization. The basic concept of hyperpolarization and the fundamental theory underpinning these two key 13C hyperpolarization methods, along with recent technological advances that have facilitated biomedical realization, are also covered.
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Affiliation(s)
- Neil J Stewart
- Division of Bioengineering and Bioinformatics, Graduate School of Information Science and Technology, Hokkaido University
| | - Shingo Matsumoto
- Division of Bioengineering and Bioinformatics, Graduate School of Information Science and Technology, Hokkaido University
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