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Ardenkjaer-Larsen JH. Hyperpolarized MR - What's up Doc? JOURNAL OF MAGNETIC RESONANCE (SAN DIEGO, CALIF. : 1997) 2019; 306:124-127. [PMID: 31307893 DOI: 10.1016/j.jmr.2019.07.017] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2019] [Revised: 07/04/2019] [Accepted: 07/08/2019] [Indexed: 06/10/2023]
Abstract
Hyperpolarized MR by dissolution Dynamic Nuclear Polarization (dDNP) appeared on the scene in 2003. Since then, it has been translated to the clinic and several sites are now conducting human studies. This has happened at record pace despite all its complexities. The method has reached a pivotal point, and the coming years will be critical in realizing its full potential. Though the field has been characterized by strong collaboration between academia, government and industry, the key message of this perspective paper is that accelerated consensus building is of the essence in fulfilling the original vision for the method and ensuring widespread adoption. The challenge is to gain acceptance among clinicians based on strong indications and clear evidence. The future appears bright; initial clinical data looks promising and the scope for improvement is significant.
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Affiliation(s)
- Jan H Ardenkjaer-Larsen
- Technical University of Denmark, Department of Health Technology, Denmark; GE Healthcare, Denmark.
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102
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Michel KA, Zieliński R, Walker CM, Le Roux L, Priebe W, Bankson JA, Schellingerhout D. Hyperpolarized Pyruvate MR Spectroscopy Depicts Glycolytic Inhibition in a Mouse Model of Glioma. Radiology 2019; 293:168-173. [PMID: 31385757 DOI: 10.1148/radiol.2019182919] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
BackgroundA generation of therapies targeting tumor metabolism is becoming available for treating glioma. Hyperpolarized MRI is uniquely suited to directly measure the metabolic effects of these emerging treatments.PurposeTo explore the feasibility of the use of hyperpolarized [1-carbon 13 {13C}]-pyruvate for real-time measurement of metabolism and response to treatment with a glycolytic inhibitor in an orthotopic mouse model of glioma.Materials and MethodsIn this animal study, anatomic MRI and dynamic 13C MR spectroscopy were performed at 7 T during intravenous injection of hyperpolarized [1-13C]-pyruvate on mice with orthotopic U87MG glioma and healthy control mice. Anatomic MRI and dynamic 13C MR spectroscopy were repeated after administration of the glycolytic inhibitor WP1122, a prodrug of 2-deoxy-d-glucose. All experiments were conducted in athymic nude mice between October 2016 and March 2017. Hyperpolarized lactate production was quantified as an apparent reaction rate, or kPL, and normalized lactate ratio (nLac). The Wilcoxon signed-rank test was used to assess changes in paired measures of lactate production before and after treatment.ResultsThirteen 12-16-week-old female mice and five healthy female mice underwent anatomic MRI and hyperpolarized [1-13C]-pyruvate spectroscopy. Large contrast agent-enhanced tumors were shown in mice with glioma at T2-weighted and T1-weighted postcontrast MRI by postimplantation day 40. After treatment with WP1122, a decrease in lactate was observed in mice with glioma (baseline and treatment mean kPL, 0.027 and 0.018 sec-1, respectively, P = .01; baseline and posttreatment mean nLac, 0.28 and 0.22, respectively, P = .01) whereas no significant decrease was observed in healthy control mice (baseline and posttreatment mean kPL, 0.011 and 0.017 sec-1, respectively, P = .91; baseline and posttreatment mean nLac, 0.16 and 0.21, respectively, P = .84).ConclusionHyperpolarized carbon 13 measurements of pyruvate metabolism can provide rapid feedback for monitoring treatment response in glioma.© RSNA, 2019.
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Affiliation(s)
- Keith A Michel
- From the Departments of Imaging Physics (K.A.M., C.M.W., J.A.B.), Experimental Therapeutics (R.Z., W.P.), Cancer Systems Imaging (L.L.R., D.S.), and Diagnostic Radiology (D.S.), The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030-4009
| | - Rafal Zieliński
- From the Departments of Imaging Physics (K.A.M., C.M.W., J.A.B.), Experimental Therapeutics (R.Z., W.P.), Cancer Systems Imaging (L.L.R., D.S.), and Diagnostic Radiology (D.S.), The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030-4009
| | - Christopher M Walker
- From the Departments of Imaging Physics (K.A.M., C.M.W., J.A.B.), Experimental Therapeutics (R.Z., W.P.), Cancer Systems Imaging (L.L.R., D.S.), and Diagnostic Radiology (D.S.), The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030-4009
| | - Lucia Le Roux
- From the Departments of Imaging Physics (K.A.M., C.M.W., J.A.B.), Experimental Therapeutics (R.Z., W.P.), Cancer Systems Imaging (L.L.R., D.S.), and Diagnostic Radiology (D.S.), The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030-4009
| | - Waldemar Priebe
- From the Departments of Imaging Physics (K.A.M., C.M.W., J.A.B.), Experimental Therapeutics (R.Z., W.P.), Cancer Systems Imaging (L.L.R., D.S.), and Diagnostic Radiology (D.S.), The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030-4009
| | - James A Bankson
- From the Departments of Imaging Physics (K.A.M., C.M.W., J.A.B.), Experimental Therapeutics (R.Z., W.P.), Cancer Systems Imaging (L.L.R., D.S.), and Diagnostic Radiology (D.S.), The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030-4009
| | - Dawid Schellingerhout
- From the Departments of Imaging Physics (K.A.M., C.M.W., J.A.B.), Experimental Therapeutics (R.Z., W.P.), Cancer Systems Imaging (L.L.R., D.S.), and Diagnostic Radiology (D.S.), The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030-4009
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103
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Autry AW, Gordon JW, Carvajal L, Mareyam A, Chen HY, Park I, Mammoli D, Vareth M, Chang SM, Wald LL, Xu D, Vigneron DB, Nelson SJ, Li Y. Comparison between 8- and 32-channel phased-array receive coils for in vivo hyperpolarized 13 C imaging of the human brain. Magn Reson Med 2019; 82:833-841. [PMID: 30927300 PMCID: PMC6612511 DOI: 10.1002/mrm.27743] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 01/31/2019] [Accepted: 02/27/2019] [Indexed: 01/22/2023]
Abstract
PURPOSE To compare the performance of an 8-channel surface coil/clamshell transmitter and 32-channel head array coil/birdcage transmitter for hyperpolarized 13 C brain metabolic imaging. METHODS To determine the field homogeneity of the radiofrequency transmitters, B1 + mapping was performed on an ethylene glycol head phantom and evaluated by means of the double angle method. Using a 3D echo-planar imaging sequence, coil sensitivity and noise-only phantom data were acquired with the 8- and 32-channel receiver arrays, and compared against data from the birdcage in transceiver mode. Multislice frequency-specific 13 C dynamic echo-planar imaging was performed on a patient with a brain tumor for each hardware configuration following injection of hyperpolarized [1-13 C]pyruvate. Signal-to-noise ratio (SNR) was evaluated from pre-whitened phantom and temporally summed patient data after coil combination based on optimal weights. RESULTS The birdcage transmitter produced more uniform B1 + compared with the clamshell: 0.07 versus 0.12 (fractional error). Phantom experiments conducted with matched lateral housing separation demonstrated 8- versus 32-channel mean transceiver-normalized SNR performance: 0.91 versus 0.97 at the head center; 6.67 versus 2.08 on the sides; 0.66 versus 2.73 at the anterior; and 0.67 versus 3.17 on the posterior aspect. While the 8-channel receiver array showed SNR benefits along lateral aspects, the 32-channel array exhibited greater coverage and a more uniform coil-combined profile. Temporally summed, parameter-normalized patient data showed SNRmean,slice ratios (8-channel/32-channel) ranging 0.5-2.00 from apical to central brain. White matter lactate-to-pyruvate ratios were conserved across hardware: 0.45 ± 0.12 (8-channel) versus 0.43 ± 0.14 (32-channel). CONCLUSION The 8- and 32-channel hardware configurations each have advantages in particular brain anatomy.
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Affiliation(s)
- Adam W Autry
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
| | - Jeremy W Gordon
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
| | - Lucas Carvajal
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
| | - Azma Mareyam
- Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA
| | - Hsin-Yu Chen
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
| | - Ilwoo Park
- Department of Radiology, Chonnam National University Medical School and Hospital, Gwangju, Korea
| | - Daniele Mammoli
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
| | - Maryam Vareth
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
- Berkeley Institute for Data Science (BIDS), University of California Berkeley, Berkeley, USA
| | - Susan M Chang
- Department of Neurological Surgery, University of California San Francisco, San Francisco, USA
| | - Lawrence L Wald
- Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Harvard-MIT Health Sciences and Technology, MIT, Cambridge, Massachusetts, USA
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
| | - Daniel B Vigneron
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
| | - Sarah J Nelson
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
- Department of Bioengineering and Therapeutic Science, University of California San Francisco, San Francisco, USA
| | - Yan Li
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
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104
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Zero-field nuclear magnetic resonance of chemically exchanging systems. Nat Commun 2019; 10:3002. [PMID: 31278303 PMCID: PMC6611813 DOI: 10.1038/s41467-019-10787-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 05/24/2019] [Indexed: 12/22/2022] Open
Abstract
Zero- to ultralow-field (ZULF) nuclear magnetic resonance (NMR) is an emerging tool for precision chemical analysis. In this work, we study dynamic processes and investigate the influence of chemical exchange on ZULF NMR J-spectra. We develop a computational approach that allows quantitative calculation of J-spectra in the presence of chemical exchange and apply it to study aqueous solutions of [15N]ammonium (15N\documentclass[12pt]{minimal}
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\begin{document}$${\mathrm{H}}_4^ +$$\end{document}H4+) as a model system. We show that pH-dependent chemical exchange substantially affects the J-spectra and, in some cases, can lead to degradation and complete disappearance of the spectral features. To demonstrate potential applications of ZULF NMR for chemistry and biomedicine, we show a ZULF NMR spectrum of [2-13C]pyruvic acid hyperpolarized via dissolution dynamic nuclear polarization (dDNP). We foresee applications of affordable and scalable ZULF NMR coupled with hyperpolarization to study chemical exchange phenomena in vivo and in situations where high-field NMR detection is not possible to implement. Zero-field nuclear magnetic resonance can identify species and collective behaviors in mixtures without applied magnetic fields. Here the authors demonstrate its use for resolving proton exchange in ammonium and for the detection of hyperpolarized pyruvic acid, an important imaging biomarker.
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105
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In-cell determination of Lactate Dehydrogenase Activity in a Luminal Breast Cancer Model ⁻ ex vivo Investigation of Excised Xenograft Tumor Slices Using dDNP Hyperpolarized [1- 13C]pyruvate. SENSORS 2019; 19:s19092089. [PMID: 31060334 PMCID: PMC6539471 DOI: 10.3390/s19092089] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 04/18/2019] [Accepted: 04/30/2019] [Indexed: 12/15/2022]
Abstract
[1-13C]pyruvate, the most widely used compound in dissolution-dynamic nuclear polarization (dDNP) magnetic resonance (MR), enables the visualization of lactate dehydrogenase (LDH) activity. This activity had been demonstrated in a wide variety of cancer models, ranging from cultured cells, to xenograft models, to human tumors in situ. Here we quantified the LDH activity in precision cut tumor slices (PCTS) of breast cancer xenografts. The Michigan Cancer Foundation-7 (MCF7) cell-line was chosen as a model for the luminal breast cancer type which is hormone responsive and is highly prevalent. The LDH activity, which was manifested as [1-13C]lactate production in the tumor slices, ranged between 3.8 and 6.1 nmole/nmole adenosine tri-phosphate (ATP) in 1 min (average 4.6 ± 1.0) on three different experimental set-ups consisting of arrested vs. continuous perfusion and non-selective and selective RF pulsation schemes and combinations thereof. This rate was converted to an expected LDH activity in a mass ranging between 3.3 and 5.2 µmole/g in 1 min, using the ATP level of these tumors. This indicated the likely utility of this approach in clinical dDNP of the human breast and may be useful as guidance for treatment response assessment in a large number of tumor types and therapies ex vivo.
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106
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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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107
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Grist JT, McLean MA, Riemer F, Schulte RF, Deen SS, Zaccagna F, Woitek R, Daniels CJ, Kaggie JD, Matys T, Patterson I, Slough R, Gill AB, Chhabra A, Eichenberger R, Laurent MC, Comment A, Gillard JH, Coles AJ, Tyler DJ, Wilkinson I, Basu B, Lomas DJ, Graves MJ, Brindle KM, Gallagher FA. Quantifying normal human brain metabolism using hyperpolarized [1- 13C]pyruvate and magnetic resonance imaging. Neuroimage 2019; 189:171-179. [PMID: 30639333 PMCID: PMC6435102 DOI: 10.1016/j.neuroimage.2019.01.027] [Citation(s) in RCA: 124] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Revised: 01/08/2019] [Accepted: 01/10/2019] [Indexed: 01/14/2023] Open
Abstract
Hyperpolarized 13C Magnetic Resonance Imaging (13C-MRI) provides a highly sensitive tool to probe tissue metabolism in vivo and has recently been translated into clinical studies. We report the cerebral metabolism of intravenously injected hyperpolarized [1-13C]pyruvate in the brain of healthy human volunteers for the first time. Dynamic acquisition of 13C images demonstrated 13C-labeling of both lactate and bicarbonate, catalyzed by cytosolic lactate dehydrogenase and mitochondrial pyruvate dehydrogenase respectively. This demonstrates that both enzymes can be probed in vivo in the presence of an intact blood-brain barrier: the measured apparent exchange rate constant (kPL) for exchange of the hyperpolarized 13C label between [1-13C]pyruvate and the endogenous lactate pool was 0.012 ± 0.006 s-1 and the apparent rate constant (kPB) for the irreversible flux of [1-13C]pyruvate to [13C]bicarbonate was 0.002 ± 0.002 s-1. Imaging also revealed that [1-13C]pyruvate, [1-13C]lactate and [13C]bicarbonate were significantly higher in gray matter compared to white matter. Imaging normal brain metabolism with hyperpolarized [1-13C]pyruvate and subsequent quantification, have important implications for interpreting pathological cerebral metabolism in future studies.
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Affiliation(s)
- James T Grist
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Mary A McLean
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Frank Riemer
- Department of Radiology, University of Cambridge, Cambridge, UK
| | | | - Surrin S Deen
- Department of Radiology, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Fulvio Zaccagna
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Ramona Woitek
- Department of Radiology, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | | | - Joshua D Kaggie
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Tomasz Matys
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Ilse Patterson
- Radiology, Cambridge University Hospitals, Cambridge, UK
| | - Rhys Slough
- Radiology, Cambridge University Hospitals, Cambridge, UK
| | - Andrew B Gill
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Anita Chhabra
- Pharmacy, Cambridge University Hospitals, Cambridge, UK
| | | | | | - Arnaud Comment
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK; GE Healthcare, Chalfont St Giles, UK
| | | | - Alasdair J Coles
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Damian J Tyler
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK
| | - Ian Wilkinson
- Department of Medicine, University of Cambridge and Cambridge Clinical Trials Unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Bristi Basu
- Department of Oncology, University of Cambridge, Cambridge, UK
| | - David J Lomas
- Department of Radiology, University of Cambridge, Cambridge, UK
| | | | - Kevin M Brindle
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
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108
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Zhu Z, Zhu X, Ohliger MA, Tang S, Cao P, Carvajal L, Autry AW, Li Y, Kurhanewicz J, Chang S, Aggarwal R, Munster P, Xu D, Larson PEZ, Vigneron DB, Gordon JW. Coil combination methods for multi-channel hyperpolarized 13C imaging data from human studies. JOURNAL OF MAGNETIC RESONANCE (SAN DIEGO, CALIF. : 1997) 2019; 301:73-79. [PMID: 30851668 PMCID: PMC7170546 DOI: 10.1016/j.jmr.2019.01.015] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Revised: 01/19/2019] [Accepted: 01/30/2019] [Indexed: 05/23/2023]
Abstract
Effective coil combination methods for human hyperpolarized 13C spectroscopy multi-channel data had been relatively unexplored. This study implemented and tested several coil combination methods, including (1) the sum-of-squares (SOS), (2) singular value decomposition (SVD), (3) Roemer method by using reference peak area as a sensitivity map (RefPeak), and (4) Roemer method by using ESPIRiT-derived sensitivity map (ESPIRiT). These methods were evaluated by numerical simulation, thermal phantom experiments, and human cancer patient studies. Overall, the SVD, RefPeak, and ESPIRiT methods demonstrated better accuracy and robustness than the SOS method. Extracting complex pyruvate signal provides an easy and excellent approximation of the coil sensitivity map while maintaining valuable phase information of the coil-combined data.
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Affiliation(s)
- Zihan Zhu
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States; UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, CA, United States.
| | - Xucheng Zhu
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States; UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, CA, United States
| | - Michael A Ohliger
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States
| | - Shuyu Tang
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States; UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, CA, United States
| | - Peng Cao
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States
| | - Lucas Carvajal
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States
| | - Adam W Autry
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States
| | - Yan Li
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States
| | - John Kurhanewicz
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States
| | - Susan Chang
- Department of Medicine, University of California, San Francisco, CA, United States
| | - Rahul Aggarwal
- Department of Medicine, University of California, San Francisco, CA, United States
| | - Pamela Munster
- Department of Medicine, University of California, San Francisco, CA, United States
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States
| | - Peder E Z Larson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States
| | - Daniel B Vigneron
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States
| | - Jeremy W Gordon
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States
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109
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Wang ZJ, Ohliger MA, Larson PEZ, Gordon JW, Bok RA, Slater J, Villanueva-Meyer JE, Hess CP, Kurhanewicz J, Vigneron DB. Hyperpolarized 13C MRI: State of the Art and Future Directions. Radiology 2019; 291:273-284. [PMID: 30835184 DOI: 10.1148/radiol.2019182391] [Citation(s) in RCA: 190] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Hyperpolarized (HP) carbon 13 (13C) MRI is an emerging molecular imaging method that allows rapid, noninvasive, and pathway-specific investigation of dynamic metabolic and physiologic processes that were previously inaccessible to imaging. This technique has enabled real-time in vivo investigations of metabolism that are central to a variety of diseases, including cancer, cardiovascular disease, and metabolic diseases of the liver and kidney. This review provides an overview of the methods of hyperpolarization and 13C probes investigated to date in preclinical models of disease. The article then discusses the progress that has been made in translating this technology for clinical investigation. In particular, the potential roles and emerging clinical applications of HP [1-13C]pyruvate MRI will be highlighted. The future directions to enable the adoption of this technology to advance the basic understanding of metabolism, to improve disease diagnosis, and to accelerate treatment assessment are also detailed.
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Affiliation(s)
- Zhen J Wang
- From the Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143
| | - Michael A Ohliger
- From the Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143
| | - Peder E Z Larson
- From the Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143
| | - Jeremy W Gordon
- From the Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143
| | - Robert A Bok
- From the Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143
| | - James Slater
- From the Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143
| | - Javier E Villanueva-Meyer
- From the Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143
| | - Christopher P Hess
- From the Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143
| | - John Kurhanewicz
- From the Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143
| | - Daniel B Vigneron
- From the Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143
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110
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Najac C, Radoul M, Le Page LM, Batsios G, Subramani E, Viswanath P, Gillespie AM, Ronen SM. In vivo investigation of hyperpolarized [1,3- 13C 2]acetoacetate as a metabolic probe in normal brain and in glioma. Sci Rep 2019; 9:3402. [PMID: 30833594 PMCID: PMC6399277 DOI: 10.1038/s41598-019-39677-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Accepted: 01/29/2019] [Indexed: 12/27/2022] Open
Abstract
Dysregulation in NAD+/NADH levels is associated with increased cell division and elevated levels of reactive oxygen species in rapidly proliferating cancer cells. Conversion of the ketone body acetoacetate (AcAc) to β-hydroxybutyrate (β-HB) by the mitochondrial enzyme β-hydroxybutyrate dehydrogenase (BDH) depends upon NADH availability. The β-HB-to-AcAc ratio is therefore expected to reflect mitochondrial redox. Previous studies reported the potential of hyperpolarized 13C-AcAc to monitor mitochondrial redox in cells, perfused organs and in vivo. However, the ability of hyperpolarized 13C-AcAc to cross the blood brain barrier (BBB) and its potential to monitor brain metabolism remained unknown. Our goal was to assess the value of hyperpolarized [1,3-13C2]AcAc in healthy and tumor-bearing mice in vivo. Following hyperpolarized [1,3-13C2]AcAc injection, production of [1,3-13C2]β-HB was detected in normal and tumor-bearing mice. Significantly higher levels of [1-13C]AcAc and lower [1-13C]β-HB-to-[1-13C]AcAc ratios were observed in tumor-bearing mice. These results were consistent with decreased BDH activity in tumors and associated with increased total cellular NAD+/NADH. Our study confirmed that AcAc crosses the BBB and can be used for monitoring metabolism in the brain. It highlights the potential of AcAc for future clinical translation and its potential utility for monitoring metabolic changes associated with glioma, and other neurological disorders.
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Affiliation(s)
- Chloé Najac
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States
| | - Marina Radoul
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States
| | - Lydia M Le Page
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States.,Department of Physical Therapy and Rehabilitation Science, University of California San Francisco, San Francisco, CA, United States
| | - Georgios Batsios
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States
| | - Elavarasan Subramani
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States
| | - Pavithra Viswanath
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States
| | - Anne Marie Gillespie
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States
| | - Sabrina M Ronen
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States.
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111
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Chen HY, Gordon JW, Bok RA, Cao P, von Morze C, van Criekinge M, Milshteyn E, Carvajal L, Hurd RE, Kurhanewicz J, Vigneron DB, Larson PE. Pulse sequence considerations for quantification of pyruvate-to-lactate conversion k PL in hyperpolarized 13 C imaging. NMR IN BIOMEDICINE 2019; 32:e4052. [PMID: 30664305 PMCID: PMC6380928 DOI: 10.1002/nbm.4052] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Revised: 10/16/2018] [Accepted: 11/09/2018] [Indexed: 05/26/2023]
Abstract
Hyperpolarized 13 C MRI takes advantage of the unprecedented 50 000-fold signal-to-noise ratio enhancement to interrogate cancer metabolism in patients and animals. It can measure the pyruvate-to-lactate conversion rate, kPL , a metabolic biomarker of cancer aggressiveness and progression. Therefore, it is crucial to evaluate kPL reliably. In this study, three sequence components and parameters that modulate kPL estimation were identified and investigated in model simulations and through in vivo animal studies using several specifically designed pulse sequences. These factors included a magnetization spoiling effect due to RF pulses, a crusher gradient-induced flow suppression, and intrinsic image weightings due to relaxation. Simulation showed that the RF-induced magnetization spoiling can be substantially improved using an inputless kPL fitting. In vivo studies found a significantly higher apparent kPL with an additional gradient that leads to flow suppression (kPL,FID-Delay,Crush /kPL,FID-Delay = 1.37 ± 0.33, P < 0.01, N = 6), which agrees with simulation outcomes (12.5% kPL error with Δv = 40 cm/s), indicating that the gradients predominantly suppressed flowing pyruvate spins. Significantly lower kPL was found using a delayed free induction decay (FID) acquisition versus a minimum-TE version (kPL,FID-Delay /kPL,FID = 0.67 ± 0.09, P < 0.01, N = 5), and the lactate peak had broader linewidth than pyruvate (Δωlactate /Δωpyruvate = 1.32 ± 0.07, P < 0.000 01, N = 13). This illustrated that lactate's T2 *, shorter than that of pyruvate, can affect calculated kPL values. We also found that an FID sequence yielded significantly lower kPL versus a double spin-echo sequence that includes spin-echo spoiling, flow suppression from crusher gradients, and more T2 weighting (kPL,DSE /kPL,FID = 2.40 ± 0.98, P < 0.0001, N = 7). In summary, the pulse sequence, as well as its interaction with pharmacokinetics and the tissue microenvironment, can impact and be optimized for the measurement of kPL . The data acquisition and analysis pipelines can work synergistically to provide more robust and reproducible kPL measures for future preclinical and clinical studies.
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Affiliation(s)
- Hsin-Yu Chen
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Jeremy W. Gordon
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Robert A. Bok
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Peng Cao
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Cornelius von Morze
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Mark van Criekinge
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Eugene Milshteyn
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Lucas Carvajal
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Ralph E. Hurd
- Department of Radiology, Stanford University, California, United States
| | - John Kurhanewicz
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Daniel B. Vigneron
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Peder E.Z. Larson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
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112
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Radoul M, Najac C, Viswanath P, Mukherjee J, Kelly M, Gillespie AM, Chaumeil MM, Eriksson P, Santos RD, Pieper RO, Ronen SM. HDAC inhibition in glioblastoma monitored by hyperpolarized 13 C MRSI. NMR IN BIOMEDICINE 2019; 32:e4044. [PMID: 30561869 PMCID: PMC6545173 DOI: 10.1002/nbm.4044] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2018] [Revised: 10/11/2018] [Accepted: 10/31/2018] [Indexed: 05/20/2023]
Abstract
Vorinostat is a histone deacetylase (HDAC) inhibitor that inhibits cell proliferation and induces apoptosis in solid tumors, and is in clinical trials for the treatment of glioblastoma (GBM). The goal of this study was to assess whether hyperpolarized 13 C MRS and magnetic resonance spectroscopic imaging (MRSI) can detect HDAC inhibition in GBM models. First, we confirmed HDAC inhibition in U87 GBM cells and evaluated real-time dynamic metabolic changes using a bioreactor system with live vorinostat-treated or control cells. We found a significant 40% decrease in the 13 C MRS-detectable ratio of hyperpolarized [1-13 C]lactate to hyperpolarized [1-13 C]pyruvate, [1-13 C]Lac/Pyr, and a 37% decrease in the pseudo-rate constant, kPL , for hyperpolarized [1-13 C]lactate production, in vorinostat-treated cells compared with controls. To understand the underlying mechanism for this finding, we assessed the expression and activity of lactate dehydrogenase (LDH) (which catalyzes the pyruvate to lactate conversion), its associated cofactor nicotinamide adenine dinucleotide, the expression of monocarboxylate transporters (MCTs) MCT1 and MCT4 (which shuttle pyruvate and lactate in and out of the cell) and intracellular lactate levels. We found that the most likely explanation for our finding that hyperpolarized lactate is reduced in treated cells is a 30% reduction in intracellular lactate levels that occurs as a result of increased expression of both MCT1 and MCT4 in vorinostat-treated cells. In vivo 13 C MRSI studies of orthotopic tumors in mice also showed a significant 52% decrease in hyperpolarized [1-13 C]Lac/Pyr when comparing vorinostat-treated U87 GBM tumors with controls, and, as in the cell studies, this metabolic finding was associated with increased MCT1 and MCT4 expression in HDAC-inhibited tumors. Thus, the 13 C MRSI-detectable decrease in hyperpolarized [1-13 C]lactate production could serve as a biomarker of response to HDAC inhibitors.
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Affiliation(s)
- Marina Radoul
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California 94158, USA
| | - Chloé Najac
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California 94158, USA
| | - Pavithra Viswanath
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California 94158, USA
| | - Joydeep Mukherjee
- Department of Neurological Surgery, Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California 94158, USA
| | - Mark Kelly
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California 94158, USA
| | - Anne Marie Gillespie
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California 94158, USA
| | - Myriam M. Chaumeil
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California 94158, USA
- Department of Physical Therapy and Rehabilitation Science and Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California 94158, USA
| | - Pia Eriksson
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California 94158, USA
| | - Romelyn Delos Santos
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California 94158, USA
| | - Russell O. Pieper
- Department of Neurological Surgery, Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California 94158, USA
| | - Sabrina M. Ronen
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California 94158, USA
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Kurhanewicz J, Vigneron DB, Ardenkjaer-Larsen JH, Bankson JA, Brindle K, Cunningham CH, Gallagher FA, Keshari KR, Kjaer A, Laustsen C, Mankoff DA, Merritt ME, Nelson SJ, Pauly JM, Lee P, Ronen S, Tyler DJ, Rajan SS, Spielman DM, Wald L, Zhang X, Malloy CR, Rizi R. Hyperpolarized 13C MRI: Path to Clinical Translation in Oncology. Neoplasia 2019; 21:1-16. [PMID: 30472500 PMCID: PMC6260457 DOI: 10.1016/j.neo.2018.09.006] [Citation(s) in RCA: 286] [Impact Index Per Article: 57.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 09/27/2018] [Accepted: 09/27/2018] [Indexed: 12/22/2022]
Abstract
This white paper discusses prospects for advancing hyperpolarization technology to better understand cancer metabolism, identify current obstacles to HP (hyperpolarized) 13C magnetic resonance imaging's (MRI's) widespread clinical use, and provide recommendations for overcoming them. Since the publication of the first NIH white paper on hyperpolarized 13C MRI in 2011, preclinical studies involving [1-13C]pyruvate as well a number of other 13C labeled metabolic substrates have demonstrated this technology's capacity to provide unique metabolic information. A dose-ranging study of HP [1-13C]pyruvate in patients with prostate cancer established safety and feasibility of this technique. Additional studies are ongoing in prostate, brain, breast, liver, cervical, and ovarian cancer. Technology for generating and delivering hyperpolarized agents has evolved, and new MR data acquisition sequences and improved MRI hardware have been developed. It will be important to continue investigation and development of existing and new probes in animal models. Improved polarization technology, efficient radiofrequency coils, and reliable pulse sequences are all important objectives to enable exploration of the technology in healthy control subjects and patient populations. It will be critical to determine how HP 13C MRI might fill existing needs in current clinical research and practice, and complement existing metabolic imaging modalities. Financial sponsorship and integration of academia, industry, and government efforts will be important factors in translating the technology for clinical research in oncology. This white paper is intended to provide recommendations with this goal in mind.
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Affiliation(s)
- John Kurhanewicz
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA.
| | - Daniel B Vigneron
- Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, CA, USA
| | | | - James A Bankson
- Department of Imaging Physics, MD Anderson Medical Center, Houston, TX, USA
| | - Kevin Brindle
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | | | | | - Kayvan R Keshari
- Department of Radiology, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Andreas Kjaer
- Department of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Rigshospitalet and University of Copenhagen, Denmark
| | | | - David A Mankoff
- Department of Radiology, University of Pennsylvania, PA, USA
| | - Matthew E Merritt
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL, USA
| | - Sarah J Nelson
- Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, CA, USA
| | - John M Pauly
- Department of Electric Engineering, Stanford University, USA
| | - Philips Lee
- Functional Metabolism Group, Singapore Biomedical Consortium, Agency for Science, Technology and Research, Singapore
| | - Sabrina Ronen
- Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, CA, USA
| | - Damian J Tyler
- Department of Biomedical Science, University of Oxford, Oxford, UK
| | - Sunder S Rajan
- Center for Devices and Radiological Health (CDRH), FDA, White Oak, MD, USA
| | - Daniel M Spielman
- Departments of Radiology and Electric Engineering, Stanford University, USA
| | - Lawrence Wald
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Xiaoliang Zhang
- Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, CA, USA
| | - Craig R Malloy
- Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, USA
| | - Rahim Rizi
- Department of Radiology, University of Pennsylvania, PA, USA
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114
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Skinner JG, Menichetti L, Flori A, Dost A, Schmidt AB, Plaumann M, Gallagher FA, Hövener JB. Metabolic and Molecular Imaging with Hyperpolarised Tracers. Mol Imaging Biol 2018; 20:902-918. [PMID: 30120644 DOI: 10.1007/s11307-018-1265-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Since reaching the clinic, magnetic resonance imaging (MRI) has become an irreplaceable radiological tool because of the macroscopic information it provides across almost all organs and soft tissues within the human body, all without the need for ionising radiation. The sensitivity of MR, however, is too low to take full advantage of the rich chemical information contained in the MR signal. Hyperpolarisation techniques have recently emerged as methods to overcome the sensitivity limitations by enhancing the MR signal by many orders of magnitude compared to the thermal equilibrium, enabling a new class of metabolic and molecular X-nuclei based MR tracers capable of reporting on metabolic processes at the cellular level. These hyperpolarised (HP) tracers have the potential to elucidate the complex metabolic processes of many organs and pathologies, with studies so far focusing on the fields of oncology and cardiology. This review presents an overview of hyperpolarisation techniques that appear most promising for clinical use today, such as dissolution dynamic nuclear polarisation (d-DNP), parahydrogen-induced hyperpolarisation (PHIP), Brute force hyperpolarisation and spin-exchange optical pumping (SEOP), before discussing methods for tracer detection, emerging metabolic tracers and applications and progress in preclinical and clinical application.
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Affiliation(s)
- Jason Graham Skinner
- Department of Radiology, Medical Physics, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
| | - Luca Menichetti
- Institute of Clinical Physiology, National Research Council (CNR), Pisa, Italy
- Fondazione CNR/Regione Toscana G. Monasterio, Pisa, Italy
| | - Alessandra Flori
- Fondazione CNR/Regione Toscana G. Monasterio, Pisa, Italy
- Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Anna Dost
- Department of Radiology, Medical Physics, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Andreas Benjamin Schmidt
- Department of Radiology, Medical Physics, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Section Biomedical Imaging and MOIN CC, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | - Markus Plaumann
- Institute of Biometrics and Medical Informatics, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | | | - Jan-Bernd Hövener
- Section Biomedical Imaging and MOIN CC, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany.
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115
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Larson PEZ, Chen HY, Gordon JW, Korn N, Maidens J, Arcak M, Tang S, Criekinge M, Carvajal L, Mammoli D, Bok R, Aggarwal R, Ferrone M, Slater JB, Nelson SJ, Kurhanewicz J, Vigneron DB. Investigation of analysis methods for hyperpolarized 13C-pyruvate metabolic MRI in prostate cancer patients. NMR IN BIOMEDICINE 2018. [PMID: 30230646 DOI: 10.1002/nbm.3997e3997] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
MRI using hyperpolarized (HP) carbon-13 pyruvate is being investigated in clinical trials to provide non-invasive measurements of metabolism for cancer and cardiac imaging. In this project, we applied HP [1-13 C]pyruvate dynamic MRI in prostate cancer to measure the conversion from pyruvate to lactate, which is expected to increase in aggressive cancers. The goal of this work was to develop and test analysis methods for improved quantification of this metabolic conversion. In this work, we compared specialized kinetic modeling methods to estimate the pyruvate-to-lactate conversion rate, kPL , as well as the lactate-to-pyruvate area-under-curve (AUC) ratio. The kinetic modeling included an "inputless" method requiring no assumptions regarding the input function, as well as a method incorporating bolus characteristics in the fitting. These were first evaluated with simulated data designed to match human prostate data, where we examined the expected sensitivity of metabolism quantification to variations in kPL , signal-to-noise ratio (SNR), bolus characteristics, relaxation rates, and B1 variability. They were then applied to 17 prostate cancer patient datasets. The simulations indicated that the inputless method with fixed relaxation rates provided high expected accuracy with no sensitivity to bolus characteristics. The AUC ratio showed an undesired strong sensitivity to bolus variations. Fitting the input function as well did not improve accuracy over the inputless method. In vivo results showed qualitatively accurate kPL maps with inputless fitting. The AUC ratio was sensitive to bolus delivery variations. Fitting with the input function showed high variability in parameter maps. Overall, we found the inputless kPL fitting method to be a simple, robust approach for quantification of metabolic conversion following HP [1-13 C]pyruvate injection in human prostate cancer studies. This study also provided initial ranges of HP [1-13 C]pyruvate parameters (SNR, kPL , bolus characteristics) in the human prostate.
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Affiliation(s)
- Peder E Z Larson
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California
| | - Hsin-Yu Chen
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California
| | - Jeremy W Gordon
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California
| | - Natalie Korn
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California
| | - John Maidens
- Department of Electrical Engineering and Computer Sciences, University of California - Berkeley, Berkeley, California
| | - Murat Arcak
- Department of Electrical Engineering and Computer Sciences, University of California - Berkeley, Berkeley, California
| | - Shuyu Tang
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California
| | - Mark Criekinge
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California
| | - Lucas Carvajal
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California
| | - Daniele Mammoli
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California
| | - Robert Bok
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California
| | - Rahul Aggarwal
- Department of Medicine, University of California - San Francisco, San Francisco, California
| | - Marcus Ferrone
- Department of Clinical Pharmacy, University of California - San Francisco, San Francisco, California
| | - James B Slater
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California
| | - Sarah J Nelson
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California
| | - John Kurhanewicz
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California
| | - Daniel B Vigneron
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California
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116
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Larson PEZ, Chen HY, Gordon JW, Korn N, Maidens J, Arcak M, Tang S, Criekinge M, Carvajal L, Mammoli D, Bok R, Aggarwal R, Ferrone M, Slater JB, Nelson SJ, Kurhanewicz J, Vigneron DB. Investigation of analysis methods for hyperpolarized 13C-pyruvate metabolic MRI in prostate cancer patients. NMR IN BIOMEDICINE 2018; 31:e3997. [PMID: 30230646 PMCID: PMC6392436 DOI: 10.1002/nbm.3997] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Revised: 06/14/2018] [Accepted: 06/28/2018] [Indexed: 05/08/2023]
Abstract
MRI using hyperpolarized (HP) carbon-13 pyruvate is being investigated in clinical trials to provide non-invasive measurements of metabolism for cancer and cardiac imaging. In this project, we applied HP [1-13 C]pyruvate dynamic MRI in prostate cancer to measure the conversion from pyruvate to lactate, which is expected to increase in aggressive cancers. The goal of this work was to develop and test analysis methods for improved quantification of this metabolic conversion. In this work, we compared specialized kinetic modeling methods to estimate the pyruvate-to-lactate conversion rate, kPL , as well as the lactate-to-pyruvate area-under-curve (AUC) ratio. The kinetic modeling included an "inputless" method requiring no assumptions regarding the input function, as well as a method incorporating bolus characteristics in the fitting. These were first evaluated with simulated data designed to match human prostate data, where we examined the expected sensitivity of metabolism quantification to variations in kPL , signal-to-noise ratio (SNR), bolus characteristics, relaxation rates, and B1 variability. They were then applied to 17 prostate cancer patient datasets. The simulations indicated that the inputless method with fixed relaxation rates provided high expected accuracy with no sensitivity to bolus characteristics. The AUC ratio showed an undesired strong sensitivity to bolus variations. Fitting the input function as well did not improve accuracy over the inputless method. In vivo results showed qualitatively accurate kPL maps with inputless fitting. The AUC ratio was sensitive to bolus delivery variations. Fitting with the input function showed high variability in parameter maps. Overall, we found the inputless kPL fitting method to be a simple, robust approach for quantification of metabolic conversion following HP [1-13 C]pyruvate injection in human prostate cancer studies. This study also provided initial ranges of HP [1-13 C]pyruvate parameters (SNR, kPL , bolus characteristics) in the human prostate.
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Affiliation(s)
- Peder E. Z. Larson
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, California
- UC Berkeley–UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California
| | - Hsin-Yu Chen
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, California
- UC Berkeley–UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California
| | - Jeremy W. Gordon
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, California
| | - Natalie Korn
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, California
- UC Berkeley–UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California
| | - John Maidens
- Department of Electrical Engineering and Computer Sciences, University of California – Berkeley, Berkeley, California
| | - Murat Arcak
- Department of Electrical Engineering and Computer Sciences, University of California – Berkeley, Berkeley, California
| | - Shuyu Tang
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, California
- UC Berkeley–UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California
| | - Mark Criekinge
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, California
| | - Lucas Carvajal
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, California
| | - Daniele Mammoli
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, California
| | - Robert Bok
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, California
| | - Rahul Aggarwal
- Department of Medicine, University of California – San Francisco, San Francisco, California
| | - Marcus Ferrone
- Department of Clinical Pharmacy, University of California – San Francisco, San Francisco, California
| | - James B. Slater
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, California
| | - Sarah J. Nelson
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, California
- UC Berkeley–UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California
| | - John Kurhanewicz
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, California
- UC Berkeley–UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California
| | - Daniel B. Vigneron
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, California
- UC Berkeley–UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California
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117
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Gordon JW, Chen HY, Autry A, Park I, Van Criekinge M, Mammoli D, Milshteyn E, Bok R, Xu D, Li Y, Aggarwal R, Chang S, Slater JB, Ferrone M, Nelson S, Kurhanewicz J, Larson PEZ, Vigneron DB. Translation of Carbon-13 EPI for hyperpolarized MR molecular imaging of prostate and brain cancer patients. Magn Reson Med 2018; 81:2702-2709. [PMID: 30375043 DOI: 10.1002/mrm.27549] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Revised: 08/31/2018] [Accepted: 09/03/2018] [Indexed: 01/15/2023]
Abstract
PURPOSE To develop and translate a metabolite-specific imaging sequence using a symmetric echo planar readout for clinical hyperpolarized (HP) Carbon-13 (13 C) applications. METHODS Initial data were acquired from patients with prostate cancer (N = 3) and high-grade brain tumors (N = 3) on a 3T scanner. Samples of [1-13 C]pyruvate were polarized for at least 2 h using a 5T SPINlab system operating at 0.8 K. Following injection of the HP substrate, pyruvate, lactate, and bicarbonate (for brain studies) were sequentially excited with a singleband spectral-spatial RF pulse and signal was rapidly encoded with a single-shot echo planar readout on a slice-by-slice basis. Data were acquired dynamically with a temporal resolution of 2 s for prostate studies and 3 s for brain studies. RESULTS High pyruvate signal was seen throughout the prostate and brain, with conversion to lactate being shown across studies, whereas bicarbonate production was also detected in the brain. No Nyquist ghost artifacts or obvious geometric distortion from the echo planar readout were observed. The average error in center frequency was 1.2 ± 17.0 and 4.5 ± 1.4 Hz for prostate and brain studies, respectively, below the threshold for spatial shift because of bulk off-resonance. CONCLUSION This study demonstrated the feasibility of symmetric EPI to acquire HP 13 C metabolite maps in a clinical setting. As an advance over prior single-slice dynamic or single time point volumetric spectroscopic imaging approaches, this metabolite-specific EPI acquisition provided robust whole-organ coverage for brain and prostate studies while retaining high SNR, spatial resolution, and dynamic temporal resolution.
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Affiliation(s)
- Jeremy W Gordon
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Hsin-Yu Chen
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Adam Autry
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Ilwoo Park
- Department of Radiology, Chonnam National University Medical School and Hospital, Gwangju, Korea
| | - Mark Van Criekinge
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Daniele Mammoli
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Eugene Milshteyn
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Robert Bok
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Yan Li
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Rahul Aggarwal
- Department of Medicine, University of California San Francisco, San Francisco, California
| | - Susan Chang
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California
| | - James B Slater
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Marcus Ferrone
- Department of Clinical Pharmacy, University of California San Francisco, San Francisco, California
| | - Sarah Nelson
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - John Kurhanewicz
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Peder E Z Larson
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Daniel B Vigneron
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
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118
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Miller JJ, Grist JT, Serres S, Larkin JR, Lau AZ, Ray K, Fisher KR, Hansen E, Tougaard RS, Nielsen PM, Lindhardt J, Laustsen C, Gallagher FA, Tyler DJ, Sibson N. 13C Pyruvate Transport Across the Blood-Brain Barrier in Preclinical Hyperpolarised MRI. Sci Rep 2018; 8:15082. [PMID: 30305655 PMCID: PMC6180068 DOI: 10.1038/s41598-018-33363-5] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Accepted: 09/26/2018] [Indexed: 01/01/2023] Open
Abstract
Hyperpolarised MRI with Dynamic Nuclear Polarisation overcomes the fundamental thermodynamic limitations of conventional magnetic resonance, and is translating to human studies with several early-phase clinical trials in progress including early reports that demonstrate the utility of the technique to observe lactate production in human brain cancer patients. Owing to the fundamental coupling of metabolism and tissue function, metabolic neuroimaging with hyperpolarised [1-13C]pyruvate has the potential to be revolutionary in numerous neurological disorders (e.g. brain tumour, ischemic stroke, and multiple sclerosis). Through the use of [1-13C]pyruvate and ethyl-[1-13C]pyruvate in naïve brain, a rodent model of metastasis to the brain, or porcine brain subjected to mannitol osmotic shock, we show that pyruvate transport across the blood-brain barrier of anaesthetised animals is rate-limiting. We show through use of a well-characterised rat model of brain metastasis that the appearance of hyperpolarized [1-13C]lactate production corresponds to the point of blood-brain barrier breakdown in the disease. With the more lipophilic ethyl-[1-13C]pyruvate, we observe pyruvate production endogenously throughout the entire brain and lactate production only in the region of disease. In the in vivo porcine brain we show that mannitol shock permeabilises the blood-brain barrier sufficiently for a dramatic 90-fold increase in pyruvate transport and conversion to lactate in the brain, which is otherwise not resolvable. This suggests that earlier reports of whole-brain metabolism in anaesthetised animals may be confounded by partial volume effects and not informative enough for translational studies. Issues relating to pyruvate transport and partial volume effects must therefore be considered in pre-clinical studies investigating neuro-metabolism in anaesthetised animals, and we additionally note that these same techniques may provide a distinct biomarker of blood-brain barrier permeability in future studies.
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Affiliation(s)
- Jack J Miller
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK.
- Department of Physics, Clarendon Laboratory, University of Oxford, Oxford, UK.
- Oxford Centre for Clinical Magnetic Resonance Research, John Radcliffe Hospital, Oxford, UK.
| | - James T Grist
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Sébastien Serres
- Cancer Research UK and Medical Research Council Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Oxford, UK
- School of Life Sciences, University of Nottingham, Nottingham, UK
| | - James R Larkin
- Cancer Research UK and Medical Research Council Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Oxford, UK
| | - Angus Z Lau
- Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Kevin Ray
- Cancer Research UK and Medical Research Council Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Oxford, UK
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | | | - Esben Hansen
- MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Rasmus Stilling Tougaard
- MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aarhus University Hospital, Skejby, Aarhus, Denmark
| | - Per Mose Nielsen
- MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Jakob Lindhardt
- MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Christoffer Laustsen
- MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | | | - Damian J Tyler
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Clinical Magnetic Resonance Research, John Radcliffe Hospital, Oxford, UK
| | - Nicola Sibson
- Cancer Research UK and Medical Research Council Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Oxford, UK
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119
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Measuring Tumor Metabolism in Pediatric Diffuse Intrinsic Pontine Glioma Using Hyperpolarized Carbon-13 MR Metabolic Imaging. CONTRAST MEDIA & MOLECULAR IMAGING 2018; 2018:3215658. [PMID: 30174560 PMCID: PMC6098895 DOI: 10.1155/2018/3215658] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Revised: 06/03/2018] [Accepted: 06/28/2018] [Indexed: 12/02/2022]
Abstract
Objective The purpose of this study was to demonstrate the feasibility of using hyperpolarized carbon-13 (13C) metabolic imaging with [1-13C]-labeled pyruvate for evaluating real-time in vivo metabolism of orthotopic diffuse intrinsic pontine glioma (DIPG) xenografts. Materials and Methods 3D 13C magnetic resonance spectroscopic imaging (MRSI) data were acquired on a 3T scanner from 8 rats that had been implanted with human-derived DIPG cells in the brainstem and 5 healthy controls, following injection of 2.5 mL (100 mM) hyperpolarized [1-13C]-pyruvate. Results Anatomical images from DIPG-bearing rats characteristically exhibited T2-hyperintensity throughout the cerebellum and pons that was not accompanied by contrast enhancement. Evaluation of real-time in vivo13C spectroscopic data revealed ratios of lactate-to-pyruvate (p < 0.002), lactate-to-total carbon (p < 0.002), and normalized lactate (p < 0.002) that were significantly higher in T2 lesions harboring tumor relative to corresponding values of healthy normal brain. Elevated levels of lactate in lesions demonstrated a distinct metabolic profile that was associated with infiltrative, viable tumor recapitulating the histopathology of pediatric DIPG. Conclusions Results from this study characterized pyruvate and lactate metabolism in orthotopic DIPG xenografts and suggest that hyperpolarized 13C MRSI may serve as a noninvasive imaging technique for in vivo monitoring of biochemical processes in patients with DIPG.
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