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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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2
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Somai V, Kreis F, Gaunt A, Tsyben A, Chia ML, Hesse F, Wright AJ, Brindle KM. Genetic algorithm-based optimization of pulse sequences. Magn Reson Med 2022; 87:2130-2144. [PMID: 34866238 DOI: 10.1002/mrm.29110] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 11/08/2021] [Accepted: 11/15/2021] [Indexed: 12/21/2022]
Abstract
PURPOSE The performance of pulse sequences in vivo can be limited by fast relaxation rates, magnetic field inhomogeneity, and nonuniform spin excitation. We describe here a method for pulse sequence optimization that uses a stochastic numerical solver that in principle is capable of finding a global optimum. The method provides a simple framework for incorporating any constraint and implementing arbitrarily complex cost functions. Efficient methods for simulating spin dynamics and incorporating frequency selectivity are also described. METHODS Optimized pulse sequences for polarization transfer between protons and X-nuclei and excitation pulses that eliminate J-coupling modulation were evaluated experimentally using a surface coil on phantoms, and also the detection of hyperpolarized [2-13 C]lactate in vivo in the case of J-coupling modulation-free excitation. RESULTS The optimized polarization transfer pulses improved the SNR by ~50% with a more than twofold reduction in the B1 field, and J-coupling modulation-free excitation was achieved with a more than threefold reduction in pulse length. CONCLUSION This process could be used to optimize any pulse when there is a need to improve the uniformity and frequency selectivity of excitation as well as to design new pulses to steer the spin system to any desired achievable state.
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Affiliation(s)
- Vencel Somai
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
- Department of Radiology, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Felix Kreis
- Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Adam Gaunt
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Anastasia Tsyben
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Ming Li Chia
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Friederike Hesse
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Alan J Wright
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Kevin M Brindle
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
- Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom
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3
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Fala M, Somai V, Dannhorn A, Hamm G, Gibson K, Couturier D, Hesketh R, Wright AJ, Takats Z, Bunch J, Barry ST, Goodwin RJA, Brindle KM. Comparison of 13 C MRI of hyperpolarized [1- 13 C]pyruvate and lactate with the corresponding mass spectrometry images in a murine lymphoma model. Magn Reson Med 2021; 85:3027-3035. [PMID: 33421253 PMCID: PMC7986146 DOI: 10.1002/mrm.28652] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 11/06/2020] [Accepted: 11/30/2020] [Indexed: 12/28/2022]
Abstract
PURPOSE To compare carbon-13 (13 C) MRSI of hyperpolarized [1-13 C]pyruvate metabolism in a murine tumor model with mass spectrometric (MS) imaging of the corresponding tumor sections in order to cross validate these metabolic imaging techniques and to investigate the effects of pyruvate delivery and tumor lactate concentration on lactate labeling. METHODS [1-13 C]lactate images were obtained from tumor-bearing mice, following injection of hyperpolarized [1-13 C]pyruvate, using a single-shot 3D 13 C spectroscopic imaging sequence in vivo and using desorption electrospray ionization MS imaging of the corresponding rapidly frozen tumor sections ex vivo. The images were coregistered, and levels of association were determined by means of Spearman rank correlation and Cohen kappa coefficients as well as linear mixed models. The correlation between [1-13 C]pyruvate and [1-13 C]lactate in the MRS images and between [12 C] and [1-13 C]lactate in the MS images were determined by means of Pearson correlation coefficients. RESULTS [1-13 C]lactate images generated by MS imaging were significantly correlated with the corresponding MRS images. The correlation coefficient between [1-13 C]lactate and [1-13 C]pyruvate in the MRS images was higher than between [1-13 C]lactate and [12 C]lactate in the MS images. CONCLUSION The inhomogeneous distribution of labeled lactate observed in the MRS images was confirmed by MS imaging of the corresponding tumor sections. The images acquired using both techniques show that the rate of 13 C label exchange between the injected pyruvate and endogenous tumor lactate pool is more correlated with the rate of pyruvate delivery to the tumor cells and is less affected by the endogenous lactate concentration.
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Affiliation(s)
- Maria Fala
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
| | - Vencel Somai
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
- Department of RadiologyUniversity of Cambridge, School of Clinical MedicineCambridge Biomedical CampusUnited Kingdom
| | - Andreas Dannhorn
- Imaging and Data AnalyticsClinical Pharmacology and Safety Sciences R&DAstraZenecaCambridgeUnited Kingdom
| | - Gregory Hamm
- Imaging and Data AnalyticsClinical Pharmacology and Safety Sciences R&DAstraZenecaCambridgeUnited Kingdom
| | - Katherine Gibson
- Imaging and Data AnalyticsClinical Pharmacology and Safety Sciences R&DAstraZenecaCambridgeUnited Kingdom
| | | | - Richard Hesketh
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
| | - Alan J. Wright
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
| | - Zoltan Takats
- Department of Digestion, Metabolism and ReproductionImperial College LondonSir Alexander Fleming BuildingLondonUnited Kingdom
| | - Josephine Bunch
- National Centre of Excellence in Mass Spectrometry Imaging (NiCE‐MSI)National Physical LaboratoryTeddingtonUnited Kingdom
| | - Simon T. Barry
- Bioscience, Discovery, Oncology R&DAstraZenecaCambridgeUnited Kingdom
| | - Richard J. A. Goodwin
- Imaging and Data AnalyticsClinical Pharmacology and Safety Sciences R&DAstraZenecaCambridgeUnited Kingdom
- Institute of Infection, Immunity and InflammationCollege of Medical, Veterinary and Life SciencesUniversity of GlasgowGlasgowUnited Kingdom
| | - Kevin M. Brindle
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
- Department of BiochemistryUniversity 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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5
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Somai V, Wright AJ, Fala M, Hesse F, Brindle KM. A multi spin echo pulse sequence with optimized excitation pulses and a 3D cone readout for hyperpolarized 13 C imaging. Magn Reson Med 2020; 84:1895-1908. [PMID: 32173908 PMCID: PMC8638674 DOI: 10.1002/mrm.28248] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 01/23/2020] [Accepted: 02/14/2020] [Indexed: 12/25/2022]
Abstract
PURPOSE Imaging tumor metabolism in vivo using hyperpolarized [1-13 C]pyruvate is a promising technique for detecting disease, monitoring disease progression, and assessing treatment response. However, the transient nature of the hyperpolarization and its depletion following excitation limits the available time for imaging. We describe here a single-shot multi spin echo sequence, which improves on previously reported sequences, with a shorter readout time, isotropic point spread function (PSF), and better signal-to-noise ratio. METHODS The sequence uses numerically optimized spectrally selective excitation pulses set to the resonant frequencies of pyruvate and lactate and a hyperbolic secant adiabatic refocusing pulse, all applied in the absence of slice selection gradients. The excitation pulses were designed to be resistant to the effects of B0 and B1 field inhomogeneity. The gradient readout uses a 3D cone trajectory composed of 13 cones, all fully refocused and distributed among 7 spin echoes. The maximal gradient amplitude and slew rate were set to 4 G/cm and 20 G/cm/ms, respectively, to demonstrate the feasibility of clinical translation. RESULTS The pulse sequence gave an isotropic PSF of 2.8 mm. The excitation profiles of the optimized pulses closely matched simulations and a 46.10 ± 0.04% gain in image SNR was observed compared to a conventional Shinnar-Le Roux excitation pulse. The sequence was demonstrated with dynamic imaging of hyperpolarized [1-13 C]pyruvate and [1-13 C]lactate in vivo. CONCLUSION The pulse sequence was capable of dynamic imaging of hyperpolarized 13 C labeled metabolites in vivo with relatively high spatial and temporal resolution and immunity to system imperfections.
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Affiliation(s)
- Vencel Somai
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
- Department of Radiology, School of Clinical MedicineUniversity of CambridgeCambridgeUnited Kingdom
| | - Alan J. Wright
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
| | - Maria Fala
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
| | - Friederike Hesse
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
| | - Kevin M. Brindle
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
- Department of BiochemistryUniversity of CambridgeCambridgeUnited Kingdom
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6
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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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7
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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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Siddiqui S, Habertheuer A, Xin Y, Pourfathi M, Tao JQ, Hamedani H, Kadlecek S, Duncan I, Vallabhajosyula P, Naji A, Chatterjee S, Rizi R. Detection of lung transplant rejection in a rat model using hyperpolarized [1- 13 C] pyruvate-based metabolic imaging. NMR IN BIOMEDICINE 2019; 32:e4107. [PMID: 31112351 PMCID: PMC6620127 DOI: 10.1002/nbm.4107] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 03/19/2019] [Accepted: 03/29/2019] [Indexed: 05/03/2023]
Abstract
The current standard for noninvasive imaging of acute rejection consists of X-ray/CT, which derive their contrast from changes in ventilation, inflammation and edema, as well as remodeling during rejection. We propose the use of hyperpolarized [1-13 C] pyruvate MRI-which provides real-time metabolic assessment of tissue-as an early biomarker for tissue rejection. In this preliminary study, we used μCT-derived parameters and HP 13 C MR-derived biomarkers to predict rejection in an orthotopic left lung transplant model in both allogeneic and syngeneic rats. On day 3, the normalized lung density-a parameter that accounts for both lung volume (mL) and density (HU)-was -0.335 (CI: -0.598, -0.073) and - 0.473 (CI: -0.726, -0.220) for the allograft and isograft, respectively (not significant, 0.40). The lactate-to-pyruvate ratios-derived from the HP 13 C MRI-for the allograft and isograft were 0.200 (CI: 0.161, 0.240) and 0.114 (CI: 0.074, 0.153), respectively (significant, 0.020). Both techniques showed tissue rejection on day 7. A separate sub-study revealed CD8+ cells as the primary source of the lactate-to-pyruvate signal. Our study suggests that hyperpolarized (HP) [1-13 C] pyruvate MRI is a promising early biomarker for tissue rejection that provides metabolic assessment in real time based on changes in cellularity and metabolism of lung tissue and the infiltrating inflammatory cells, and may be able to predict tissue rejection earlier than X-ray/CT.
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Affiliation(s)
- Sarmad Siddiqui
- Department of Radiology, University of Pennsylvania, PA, USA
| | | | - Yi Xin
- Department of Radiology, University of Pennsylvania, PA, USA
| | | | - Jian-quin Tao
- Institute for Environmental Medicine, University of Pennsylvania, PA, USA
| | - Hooman Hamedani
- Department of Radiology, University of Pennsylvania, PA, USA
| | | | - Ian Duncan
- Department of Radiology, University of Pennsylvania, PA, USA
| | | | - Ali Naji
- Department of Surgery, University of Pennsylvania, PA, USA
| | - Shampa Chatterjee
- Institute for Environmental Medicine, University of Pennsylvania, PA, USA
| | - Rahim Rizi
- Department of Radiology, University of Pennsylvania, PA, USA
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Tran M, Latifoltojar A, Neves JB, Papoutsaki MV, Gong F, Comment A, Costa ASH, Glaser M, Tran-Dang MA, El Sheikh S, Piga W, Bainbridge A, Barnes A, Young T, Jeraj H, Awais R, Adeleke S, Holt C, O’Callaghan J, Twyman F, Atkinson D, Frezza C, Årstad E, Gadian D, Emberton M, Punwani S. First-in-human in vivo non-invasive assessment of intra-tumoral metabolic heterogeneity in renal cell carcinoma. BJR Case Rep 2019; 5:20190003. [PMID: 31428445 PMCID: PMC6699984 DOI: 10.1259/bjrcr.20190003] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Revised: 02/13/2019] [Accepted: 02/18/2019] [Indexed: 12/12/2022] Open
Abstract
Intratumoral genetic heterogeneity and the role of metabolic reprogramming in renal cell carcinoma (RCC) have been extensively documented. However, the distribution of these metabolic changes within the tissue has not been explored. We report on the first-in-human in vivo non-invasive metabolic interrogation of RCC using hyperpolarized carbon-13 (13C) magnetic resonance imaging (HP-MRI) and describe the validation of in vivo lactate metabolic heterogeneity against multi-regional ex vivo mass spectrometry. HP-MRI provides an in vivo assessment of metabolism and provides a novel opportunity to safely and non-invasively assess cancer heterogeneity.
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Affiliation(s)
| | - Arash Latifoltojar
- Centre for Medical Imaging, Division of Medicine, University College London, UK
| | | | | | - Fiona Gong
- Centre for Medical Imaging, Division of Medicine, University College London, UK
| | | | - Ana S. H. Costa
- Medical Research Council Cancer Unit, Hutchison/MRC Research Centre, University of Cambridge, UK
| | | | - My-Anh Tran-Dang
- Department of Histopathology, Royal Free London NHS Foundation Trust, London, UK
| | - Soha El Sheikh
- Department of Histopathology, Royal Free London NHS Foundation Trust, London, UK
| | - Wivijin Piga
- Centre for Medical Imaging, Division of Medicine, University College London, UK
| | - Alan Bainbridge
- Department of Medical Physics and Biomedical Engineering, University College London Hospitals NHS Foundation Trust, London, UK
| | | | - Tim Young
- Medical Research Council Cancer Unit, Hutchison/MRC Research Centre, University of Cambridge, UK
| | - Hassan Jeraj
- Centre for Medical Imaging, Division of Medicine, University College London, UK
| | | | - Sola Adeleke
- Centre for Medical Imaging, Division of Medicine, University College London, UK
| | - Christopher Holt
- Pharmacy Department, University College London Hospitals NHS Foundation Trust, London, UK
| | - James O’Callaghan
- Centre for Medical Imaging, Division of Medicine, University College London, UK
| | - Frazer Twyman
- Institute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, UK
| | - David Atkinson
- Centre for Medical Imaging, Division of Medicine, University College London, UK
| | - Christian Frezza
- Medical Research Council Cancer Unit, Hutchison/MRC Research Centre, University of Cambridge, UK
| | | | - David Gadian
- Institute of Child Health, University College London, London, UK
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