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Low JC, Cao J, Hesse F, Wright AJ, Tsyben A, Alshamleh I, Mair R, Brindle KM. Deuterium Metabolic Imaging Differentiates Glioblastoma Metabolic Subtypes and Detects Early Response to Chemoradiotherapy. Cancer Res 2024; 84:1996-2008. [PMID: 38635885 PMCID: PMC11176915 DOI: 10.1158/0008-5472.can-23-2552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 01/30/2024] [Accepted: 03/28/2024] [Indexed: 04/20/2024]
Abstract
Metabolic subtypes of glioblastoma (GBM) have different prognoses and responses to treatment. Deuterium metabolic imaging with 2H-labeled substrates is a potential approach to stratify patients into metabolic subtypes for targeted treatment. In this study, we used 2H magnetic resonance spectroscopy and magnetic resonance spectroscopic imaging (MRSI) measurements of [6,6'-2H2]glucose metabolism to identify metabolic subtypes and their responses to chemoradiotherapy in patient-derived GBM xenografts in vivo. The metabolism of patient-derived cells was first characterized in vitro by measuring the oxygen consumption rate, a marker of mitochondrial tricarboxylic acid cycle activity, as well as the extracellular acidification rate and 2H-labeled lactate production from [6,6'-2H2]glucose, which are markers of glycolytic activity. Two cell lines representative of a glycolytic subtype and two representative of a mitochondrial subtype were identified. 2H magnetic resonance spectroscopy and MRSI measurements showed similar concentrations of 2H-labeled glucose from [6,6'-2H2]glucose in all four tumor models when implanted orthotopically in mice. The glycolytic subtypes showed higher concentrations of 2H-labeled lactate than the mitochondrial subtypes and normal-appearing brain tissue, whereas the mitochondrial subtypes showed more glutamate/glutamine labeling, a surrogate for tricarboxylic acid cycle activity, than the glycolytic subtypes and normal-appearing brain tissue. The response of the tumors to chemoradiation could be detected within 24 hours of treatment completion, with the mitochondrial subtypes showing a decrease in both 2H-labeled glutamate/glutamine and lactate concentrations and glycolytic tumors showing a decrease in 2H-labeled lactate concentration. This technique has the potential to be used clinically for treatment selection and early detection of treatment response. SIGNIFICANCE Deuterium magnetic resonance spectroscopic imaging of glucose metabolism has the potential to differentiate between glycolytic and mitochondrial metabolic subtypes in glioblastoma and to evaluate early treatment responses, which could guide patient treatment.
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Affiliation(s)
- Jacob C.M. Low
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Jianbo Cao
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Friederike Hesse
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Alan J. Wright
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Anastasia Tsyben
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Islam Alshamleh
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Richard Mair
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Kevin M. Brindle
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
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Marin-Valencia I, Kocabas A, Rodriguez-Navas C, Miloushev VZ, González-Rodríguez M, Lees H, Henry KE, Vaynshteyn J, Longo V, Deh K, Eskandari R, Mamakhanyan A, Berishaj M, Keshari KR. Imaging brain glucose metabolism in vivo reveals propionate as a major anaplerotic substrate in pyruvate dehydrogenase deficiency. Cell Metab 2024; 36:1394-1410.e12. [PMID: 38838644 DOI: 10.1016/j.cmet.2024.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 03/05/2024] [Accepted: 05/02/2024] [Indexed: 06/07/2024]
Abstract
A vexing problem in mitochondrial medicine is our limited capacity to evaluate the extent of brain disease in vivo. This limitation has hindered our understanding of the mechanisms that underlie the imaging phenotype in the brain of patients with mitochondrial diseases and our capacity to identify new biomarkers and therapeutic targets. Using comprehensive imaging, we analyzed the metabolic network that drives the brain structural and metabolic features of a mouse model of pyruvate dehydrogenase deficiency (PDHD). As the disease progressed in this animal, in vivo brain glucose uptake and glycolysis increased. Propionate served as a major anaplerotic substrate, predominantly metabolized by glial cells. A combination of propionate and a ketogenic diet extended lifespan, improved neuropathology, and ameliorated motor deficits in these animals. Together, intermediary metabolism is quite distinct in the PDHD brain-it plays a key role in the imaging phenotype, and it may uncover new treatments for this condition.
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Affiliation(s)
- Isaac Marin-Valencia
- The Abimael Laboratory of Neurometabolism, Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Laboratory of Developmental Neurobiology, The Rockefeller University, New York, NY, USA.
| | - Arif Kocabas
- The Abimael Laboratory of Neurometabolism, Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carlos Rodriguez-Navas
- The Abimael Laboratory of Neurometabolism, Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Manuel González-Rodríguez
- The Abimael Laboratory of Neurometabolism, Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hannah Lees
- Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kelly E Henry
- Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jake Vaynshteyn
- The Abimael Laboratory of Neurometabolism, Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Valerie Longo
- Small Animal Imaging Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kofi Deh
- Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Roozbeh Eskandari
- Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Biochemistry, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Arsen Mamakhanyan
- Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marjan Berishaj
- Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kayvan R Keshari
- Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Weill Cornell Medical College, New York, NY, USA.
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3
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Dienel GA, Rothman DL. In vivo calibration of genetically encoded metabolite biosensors must account for metabolite metabolism during calibration and cellular volume. J Neurochem 2024; 168:506-532. [PMID: 36726217 DOI: 10.1111/jnc.15775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 01/21/2023] [Accepted: 01/28/2023] [Indexed: 02/03/2023]
Abstract
Isotopic assays of brain glucose utilization rates have been used for more than four decades to establish relationships between energetics, functional activity, and neurotransmitter cycling. Limitations of these methods include the relatively long time (1-60 min) for the determination of labeled metabolite levels and the lack of cellular resolution. Identification and quantification of fuels for neurons and astrocytes that support activation and higher brain functions are a major, unresolved issues. Glycolysis is preferentially up-regulated during activation even though oxygen level and supply are adequate, causing lactate concentrations to quickly rise during alerting, sensory processing, cognitive tasks, and memory consolidation. However, the fate of lactate (rapid release from brain or cell-cell shuttling coupled with local oxidation) is long disputed. Genetically encoded biosensors can determine intracellular metabolite concentrations and report real-time lactate level responses to sensory, behavioral, and biochemical challenges at the cellular level. Kinetics and time courses of cellular lactate concentration changes are informative, but accurate biosensor calibration is required for quantitative comparisons of lactate levels in astrocytes and neurons. An in vivo calibration procedure for the Laconic lactate biosensor involves intracellular lactate depletion by intravenous pyruvate-mediated trans-acceleration of lactate efflux followed by sensor saturation by intravenous infusion of high doses of lactate plus ammonium chloride. In the present paper, the validity of this procedure is questioned because rapid lactate-pyruvate interconversion in blood, preferential neuronal oxidation of both monocarboxylates, on-going glycolytic metabolism, and cellular volumes were not taken into account. Calibration pitfalls for the Laconic lactate biosensor also apply to other metabolite biosensors that are standardized in vivo by infusion of substrates that can be metabolized in peripheral tissues. We discuss how technical shortcomings negate the conclusion that Laconic sensor calibrations support the existence of an in vivo astrocyte-neuron lactate concentration gradient linked to lactate shuttling from astrocytes to neurons to fuel neuronal activity.
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Affiliation(s)
- Gerald A Dienel
- Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Department of Cell Biology and Physiology, University of New Mexico School of Medicine, Albuquerque, New Mexico, USA
| | - Douglas L Rothman
- Magnetic Resonance Research Center and Departments of Radiology and Biomedical Engineering, Yale University, New Haven, Connecticut, USA
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Uthayakumar B, Soliman H, Chen AP, Bragagnolo N, Cappelletto NIC, Endre R, Perks WJ, Ma N, Heyn C, Keshari KR, Cunningham CH. Evidence of 13 C-lactate oxidation in the human brain from hyperpolarized 13 C-MRI. Magn Reson Med 2024; 91:2162-2171. [PMID: 38230992 DOI: 10.1002/mrm.29919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 10/12/2023] [Accepted: 10/18/2023] [Indexed: 01/18/2024]
Abstract
PURPOSE To test the hypothesis that lactate oxidation contributes to the 13 $$ {}^{13} $$ C-bicarbonate signal observed in the awake human brain using hyperpolarized 13 $$ {}^{13} $$ C MRI. METHODS Healthy human volunteers (N = 6) were scanned twice using hyperpolarized 13 $$ {}^{13} $$ C-MRI, with increased radiofrequency saturation of 13 $$ {}^{13} $$ C-lactate on one set of scans. 13 $$ {}^{13} $$ C-lactate, 13 $$ {}^{13} $$ C-bicarbonate, and 13 $$ {}^{13} $$ C-pyruvate signals for 132 brain regions across each set of scans were compared using a clustered Wilcoxon signed-rank test. RESULTS Increased 13 $$ {}^{13} $$ C-lactate radiofrequency saturation resulted in a significantly lower 13 $$ {}^{13} $$ C-bicarbonate signal (p = 0.04). These changes were observed across the majority of brain regions. CONCLUSION Radiofrequency saturation of 13 $$ {}^{13} $$ C-lactate leads to a decrease in 13 $$ {}^{13} $$ C-bicarbonate signal, demonstrating that the 13 $$ {}^{13} $$ C-lactate generated from the injected 13 $$ {}^{13} $$ C-pyruvate is being converted back to 13 $$ {}^{13} $$ C-pyruvate and oxidized throughout the human brain.
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Affiliation(s)
- Biranavan Uthayakumar
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Hany Soliman
- Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | | | - Nadia Bragagnolo
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Nicole I C Cappelletto
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Ruby Endre
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - William J Perks
- Pharmacy, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Nathan Ma
- Pharmacy, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Chris Heyn
- Radiology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Kayvan R Keshari
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Charles H Cunningham
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
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5
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Lai YC, Hsieh CY, Juan YH, Lu KY, Lee HJ, Ng SH, Wan YL, Lin G. Hyperpolarized Carbon-13 Magnetic Resonance Imaging: Technical Considerations and Clinical Applications. Korean J Radiol 2024; 25:459-472. [PMID: 38685736 PMCID: PMC11058429 DOI: 10.3348/kjr.2024.0069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 02/17/2024] [Accepted: 02/27/2024] [Indexed: 05/02/2024] Open
Abstract
Hyperpolarized (HP) carbon-13 (13C) MRI represents an innovative approach for noninvasive, real-time assessment of dynamic metabolic flux, with potential integration into routine clinical MRI. The use of [1-13C]pyruvate as a probe and its conversion to [1-13C]lactate constitute an extensively explored metabolic pathway. This review comprehensively outlines the establishment of HP 13C-MRI, covering multidisciplinary team collaboration, hardware prerequisites, probe preparation, hyperpolarization techniques, imaging acquisition, and data analysis. This article discusses the clinical applications of HP 13C-MRI across various anatomical domains, including the brain, heart, skeletal muscle, breast, liver, kidney, pancreas, and prostate. Each section highlights the specific applications and findings pertinent to these regions, emphasizing the potential versatility of HP 13C-MRI in diverse clinical contexts. This review serves as a comprehensive update, bridging technical aspects with clinical applications and offering insights into the ongoing advancements in HP 13C-MRI.
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Affiliation(s)
- Ying-Chieh Lai
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Ching-Yi Hsieh
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Research Center for Radiation Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Hsiang Juan
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
| | - Kuan-Ying Lu
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Hsien-Ju Lee
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Shu-Hang Ng
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
| | - Yung-Liang Wan
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
| | - Gigin Lin
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Research Center for Radiation Medicine, Chang Gung University, Taoyuan, Taiwan.
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6
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Chaumeil MM, Bankson JA, Brindle KM, Epstein S, Gallagher FA, Grashei M, Guglielmetti C, Kaggie JD, Keshari KR, Knecht S, Laustsen C, Schmidt AB, Vigneron D, Yen YF, Schilling F. New Horizons in Hyperpolarized 13C MRI. Mol Imaging Biol 2024; 26:222-232. [PMID: 38147265 PMCID: PMC10972948 DOI: 10.1007/s11307-023-01888-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 12/04/2023] [Accepted: 12/05/2023] [Indexed: 12/27/2023]
Abstract
Hyperpolarization techniques significantly enhance the sensitivity of magnetic resonance (MR) and thus present fascinating new directions for research and applications with in vivo MR imaging and spectroscopy (MRI/S). Hyperpolarized 13C MRI/S, in particular, enables real-time non-invasive assessment of metabolic processes and holds great promise for a diverse range of clinical applications spanning fields like oncology, neurology, and cardiology, with a potential for improving early diagnosis of disease, patient stratification, and therapy response assessment. Despite its potential, technical challenges remain for achieving clinical translation. This paper provides an overview of the discussions that took place at the international workshop "New Horizons in Hyperpolarized 13C MRI," in March 2023 at the Bavarian Academy of Sciences and Humanities, Munich, Germany. The workshop covered new developments, as well as future directions, in topics including polarization techniques (particularly focusing on parahydrogen-based methods), novel probes, considerations related to data acquisition and analysis, and emerging clinical applications in oncology and other fields.
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Affiliation(s)
- Myriam M Chaumeil
- Department of Physical Therapy and Rehabilitation Science, University of California, San Francisco, CA, USA.
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
| | - James A Bankson
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kevin M Brindle
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | | | - Ferdia A Gallagher
- Department of Radiology, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Centre, Cambridge, UK
| | - Martin Grashei
- Department of Nuclear Medicine, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany
| | - Caroline Guglielmetti
- Department of Physical Therapy and Rehabilitation Science, University of California, San Francisco, CA, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Joshua D Kaggie
- Department of Radiology, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Kayvan R Keshari
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
- Weill Cornell Graduate School, New York City, NY, USA
| | | | - Christoffer Laustsen
- The MR Research Centre, Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, Aarhus, Denmark
| | - Andreas B Schmidt
- Partner Site Freiburg and German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
- Division of Medical Physics, Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine, University of Freiburg, Killianstr. 5a, 79106, Freiburg, Germany
- Department of Chemistry, Integrative Biosciences (Ibio), Karmanos Cancer Institute (KCI), Wayne State University, Detroit, MI, 48202, USA
| | - Daniel Vigneron
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Yi-Fen Yen
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Franz Schilling
- Department of Nuclear Medicine, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany
- Partner Site Freiburg and German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
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Liu X, Cui D, Xu D, Bok R, Wang ZJ, Vigneron DB, Larson PEZ, Gordon JW. Dynamic T 2 * relaxometry of hyperpolarized [1- 13 C]pyruvate MRI in the human brain and kidneys. Magn Reson Med 2024; 91:1030-1042. [PMID: 38013217 PMCID: PMC10872504 DOI: 10.1002/mrm.29942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/07/2023] [Accepted: 11/08/2023] [Indexed: 11/29/2023]
Abstract
PURPOSE This study aimed to quantifyT 2 * $$ {T}_2^{\ast } $$ for hyperpolarized [1-13 C]pyruvate and metabolites in the healthy human brain and renal cell carcinoma (RCC) patients at 3 T. METHODS DynamicT 2 * $$ {T}_2^{\ast } $$ values were measured with a metabolite-specific multi-echo spiral sequence. The dynamicT 2 * $$ {T}_2^{\ast } $$ of [1-13 C]pyruvate, [1-13 C]lactate, and 13 C-bicarbonate was estimated in regions of interest in the whole brain, sinus vein, gray matter, and white matter in healthy volunteers, as well as in kidney tumors and the contralateral healthy kidneys in a separate group of RCC patients.T 2 * $$ {T}_2^{\ast } $$ was fit using a mono-exponential function; and metabolism was quantified using pyruvate-to-lactate conversion rate maps and lactate-to-pyruvate ratio maps, which were compared with and without an estimatedT 2 * $$ {T}_2^{\ast } $$ correction. RESULTS TheT 2 * $$ {T}_2^{\ast } $$ of pyruvate was shown to vary during the acquisition, whereas theT 2 * $$ {T}_2^{\ast } $$ of lactate and bicarbonate were relatively constant through time and across the organs studied. TheT 2 * $$ {T}_2^{\ast } $$ of lactate was similar in gray matter (29.75 ± 1.04 ms), white matter (32.89 ± 0.9 ms), healthy kidney (34.61 ± 4.07 ms), and kidney tumor (33.01 ± 2.31 ms); and theT 2 * $$ {T}_2^{\ast } $$ of bicarbonate was different between whole-brain (108.17 ± 14.05 ms) and healthy kidney (58.45 ± 6.63 ms). TheT 2 * $$ {T}_2^{\ast } $$ of pyruvate had similar trends in both brain and RCC studies, reducing from 75.56 ± 2.23 ms to 22.24 ± 1.24 ms in the brain and reducing from 122.72 ± 9.86 ms to 57.38 ± 7.65 ms in the kidneys. CONCLUSION Multi-echo dynamic imaging can quantifyT 2 * $$ {T}_2^{\ast } $$ and metabolism in a single integrated acquisition. Clear differences were observed in theT 2 * $$ {T}_2^{\ast } $$ of metabolites and in their behavior throughout the timecourse.
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Affiliation(s)
- Xiaoxi Liu
- Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Di Cui
- Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Duan Xu
- Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Robert Bok
- Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Zhen J Wang
- Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Daniel B Vigneron
- Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Graduate Program in Bioengineering, University of California, Berkeley and San Francisco, California, USA
| | - Peder E Z Larson
- Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Graduate Program in Bioengineering, University of California, Berkeley and San Francisco, California, USA
| | - Jeremy W Gordon
- Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
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8
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Farah C, Mignion L, Jordan BF. Metabolic Profiling to Assess Response to Targeted and Immune Therapy in Melanoma. Int J Mol Sci 2024; 25:1725. [PMID: 38339003 PMCID: PMC10855758 DOI: 10.3390/ijms25031725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 01/26/2024] [Accepted: 01/29/2024] [Indexed: 02/12/2024] Open
Abstract
There is currently no consensus to determine which advanced melanoma patients will benefit from targeted therapy, immunotherapy, or a combination of both, highlighting the critical need to identify early-response biomarkers to advanced melanoma therapy. The goal of this review is to provide scientific rationale to highlight the potential role of metabolic imaging to assess response to targeted and/or immune therapy in melanoma cancer. For that purpose, a brief overview of current melanoma treatments is provided. Then, current knowledge with respect to melanoma metabolism is described with an emphasis on major crosstalks between melanoma cell metabolism and signaling pathways involved in BRAF-targeted therapy as well as in immune checkpoint inhibition therapies. Finally, preclinical and clinical studies using metabolic imaging and/or profiling to assess response to melanoma treatment are summarized with a particular focus on PET (Positron Emission Tomography) imaging and 13C-MRS (Magnetic Resonance Spectroscopy) methods.
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Affiliation(s)
- Chantale Farah
- Biomedical Magnetic Resonance Research Group, Louvain Drug Research Institute, Université Catholique de Louvain (UCLouvain), B-1200 Brussels, Belgium;
| | - Lionel Mignion
- Nuclear and Electron Spin Technologies (NEST) Platform, Louvain Drug Research Institute (LDRI), Université Catholique de Louvain (UCLouvain), B-1200 Brussels, Belgium;
| | - Bénédicte F. Jordan
- Biomedical Magnetic Resonance Research Group, Louvain Drug Research Institute, Université Catholique de Louvain (UCLouvain), B-1200 Brussels, Belgium;
- Nuclear and Electron Spin Technologies (NEST) Platform, Louvain Drug Research Institute (LDRI), Université Catholique de Louvain (UCLouvain), B-1200 Brussels, Belgium;
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9
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Autry AW, Vaziri S, Gordon JW, Chen HY, Kim Y, Dang D, LaFontaine M, Noeske R, Bok R, Villanueva-Meyer JE, Clarke JL, Oberheim Bush NA, Chang SM, Xu D, Lupo JM, Larson PEZ, Vigneron DB, Li Y. Advanced Hyperpolarized 13C Metabolic Imaging Protocol for Patients with Gliomas: A Comprehensive Multimodal MRI Approach. Cancers (Basel) 2024; 16:354. [PMID: 38254844 PMCID: PMC10814348 DOI: 10.3390/cancers16020354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 01/03/2024] [Accepted: 01/04/2024] [Indexed: 01/24/2024] Open
Abstract
This study aimed to implement a multimodal 1H/HP-13C imaging protocol to augment the serial monitoring of patients with glioma, while simultaneously pursuing methods for improving the robustness of HP-13C metabolic data. A total of 100 1H/HP [1-13C]-pyruvate MR examinations (104 HP-13C datasets) were acquired from 42 patients according to the comprehensive multimodal glioma imaging protocol. Serial data coverage, accuracy of frequency reference, and acquisition delay were evaluated using a mixed-effects model to account for multiple exams per patient. Serial atlas-based HP-13C MRI demonstrated consistency in volumetric coverage measured by inter-exam dice coefficients (0.977 ± 0.008, mean ± SD; four patients/11 exams). The atlas-derived prescription provided significantly improved data quality compared to manually prescribed acquisitions (n = 26/78; p = 0.04). The water-based method for referencing [1-13C]-pyruvate center frequency significantly reduced off-resonance excitation relative to the coil-embedded [13C]-urea phantom (4.1 ± 3.7 Hz vs. 9.9 ± 10.7 Hz; p = 0.0007). Significantly improved capture of tracer inflow was achieved with the 2-s versus 5-s HP-13C MRI acquisition delay (p = 0.007). This study demonstrated the implementation of a comprehensive multimodal 1H/HP-13C MR protocol emphasizing the monitoring of steady-state/dynamic metabolism in patients with glioma.
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Affiliation(s)
- Adam W. Autry
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Sana Vaziri
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Jeremy W. Gordon
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Hsin-Yu Chen
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Yaewon Kim
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Duy Dang
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Marisa LaFontaine
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | | | - Robert Bok
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Javier E. Villanueva-Meyer
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Jennifer L. Clarke
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
- Department of Neurology, University of California San Francisco, San Francisco, CA 94143, USA
| | - Nancy Ann Oberheim Bush
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
- Department of Neurology, University of California San Francisco, San Francisco, CA 94143, USA
| | - Susan M. Chang
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Janine M. Lupo
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Peder E. Z. Larson
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Daniel B. Vigneron
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Yan Li
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
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10
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Adamson PM, Datta K, Watkins R, Recht LD, Hurd RE, Spielman DM. Deuterium metabolic imaging for 3D mapping of glucose metabolism in humans with central nervous system lesions at 3T. Magn Reson Med 2024; 91:39-50. [PMID: 37796151 PMCID: PMC10841984 DOI: 10.1002/mrm.29830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 07/19/2023] [Accepted: 07/28/2023] [Indexed: 10/06/2023]
Abstract
PURPOSE To explore the potential of 3T deuterium metabolic imaging (DMI) using a birdcage 2 H radiofrequency (RF) coil in both healthy volunteers and patients with central nervous system (CNS) lesions. METHODS A modified gradient filter, home-built 2 H volume RF coil, and spherical k-space sampling were employed in a three-dimensional chemical shift imaging acquisition to obtain high-quality whole-brain metabolic images of 2 H-labeled water and glucose metabolic products. These images were acquired in a healthy volunteer and three subjects with CNS lesions of varying pathologies. Hardware and pulse sequence experiments were also conducted to improve the signal-to-noise ratio of DMI at 3T. RESULTS The ability to quantify local glucose metabolism in correspondence to anatomical landmarks across patients with varying CNS lesions is demonstrated, and increased lactate is observed in one patient with the most active disease. CONCLUSION DMI offers the potential to examine metabolic activity in human subjects with CNS lesions with DMI at 3T, promising for the potential of the future clinical translation of this metabolic imaging technique.
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Affiliation(s)
- Philip M. Adamson
- Department of Electrical Engineering, Stanford University, Stanford, California USA
| | - Keshav Datta
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Ron Watkins
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Lawrence D. Recht
- Department of Neurology, Stanford University, Stanford, California, USA
| | - Ralph E. Hurd
- Department of Radiology, Stanford University, Stanford, California, USA
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11
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Wodtke P, Grashei M, Schilling F. Quo Vadis Hyperpolarized 13C MRI? Z Med Phys 2023:S0939-3889(23)00120-4. [PMID: 38160135 DOI: 10.1016/j.zemedi.2023.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 10/16/2023] [Accepted: 10/20/2023] [Indexed: 01/03/2024]
Abstract
Over the last two decades, hyperpolarized 13C MRI has gained significance in both preclinical and clinical studies, hereby relying on technologies like PHIP-SAH (ParaHydrogen-Induced Polarization-Side Arm Hydrogenation), SABRE (Signal Amplification by Reversible Exchange), and dDNP (dissolution Dynamic Nuclear Polarization), with dDNP being applied in humans. A clinical dDNP polarizer has enabled studies across 24 sites, despite challenges like high cost and slow polarization. Parahydrogen-based techniques like SABRE and PHIP offer faster, more cost-efficient alternatives but require molecule-specific optimization. The focus has been on imaging metabolism of hyperpolarized probes, which requires long T1, high polarization and rapid contrast generation. Efforts to establish novel probes, improve acquisition techniques and enhance data analysis methods including artificial intelligence are ongoing. Potential clinical value of hyperpolarized 13C MRI was demonstrated primarily for treatment response assessment in oncology, but also in cardiology, nephrology, hepatology and CNS characterization. In this review on biomedical hyperpolarized 13C MRI, we summarize important and recent advances in polarization techniques, probe development, acquisition and analysis methods as well as clinical trials. Starting from those we try to sketch a trajectory where the field of biomedical hyperpolarized 13C MRI might go.
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Affiliation(s)
- Pascal Wodtke
- Department of Nuclear Medicine, TUM School of Medicine and Health, Klinikum rechts der Isar of Technical University of Munich, 81675 Munich, Germany; Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge UK
| | - Martin Grashei
- Department of Nuclear Medicine, TUM School of Medicine and Health, Klinikum rechts der Isar of Technical University of Munich, 81675 Munich, Germany
| | - Franz Schilling
- Department of Nuclear Medicine, TUM School of Medicine and Health, Klinikum rechts der Isar of Technical University of Munich, 81675 Munich, Germany; Munich Institute of Biomedical Engineering, Technical University of Munich, 85748 Garching, Germany; German Cancer Consortium (DKTK), Partner Site Munich and German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg 69120, Germany.
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12
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Rushin A, McLeod MA, Ragavan M, Merritt ME. Observing exocrine pancreas metabolism using a novel pancreas perfusion technique in combination with hyperpolarized [1- 13 C]pyruvate. MAGNETIC RESONANCE IN CHEMISTRY : MRC 2023; 61:748-758. [PMID: 37482899 PMCID: PMC10800648 DOI: 10.1002/mrc.5382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 06/28/2023] [Accepted: 07/06/2023] [Indexed: 07/25/2023]
Abstract
In a clinical setting, ex vivo perfusions are routinely used to maintain and assess organ viability prior to transplants. Organ perfusions are also a model system to examine metabolic flux while retaining the local physiological structure, with significant success using hyperpolarized (HP) 13 C NMR in this context. We use a novel exocrine pancreas perfusion technique via the common bile duct to assess acinar cell metabolism with HP [1-13 C]pyruvate. The exocrine component of the pancreas produces digestive enzymes through the ductal system and is often neglected in research on the pancreas. Real-time production of [1-13 C]lactate, [1-13 C]alanine, [1-13 C]malate, [4-13 C]malate, [1-13 C]aspartate, and H13 CO3 - was detected. The appearance of these resonances indicates flux through both pyruvate dehydrogenase and pyruvate carboxylase. We studied excised pancreata from C57BL/6J mice and NOD.Rag1-/- .AI4α/β mice, a commonly used model of Type 1 Diabetes (T1D). Pancreata from the T1D mice displayed increased lactate to alanine ratio without changes in oxygen consumption, signifying increased cytosolic NADH levels. The mass isotopologue analysis of the extracted pancreas tissue using gas chromatography-mass spectrometry revealed confirmatory 13 C enrichment in multiple TCA cycle metabolites that are products of pyruvate carboxylation. The methodology presented here has the potential to provide insight into mechanisms underlying several pancreatic diseases, such as diabetes, pancreatitis, and pancreatic cancer.
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Affiliation(s)
- Anna Rushin
- Department of Biochemistry and Molecular Biology, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Marc A. McLeod
- Department of Biochemistry and Molecular Biology, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Mukundan Ragavan
- Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Matthew E. Merritt
- Department of Biochemistry and Molecular Biology, College of Medicine, University of Florida, Gainesville, Florida, USA
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13
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Mandzhieva I, Adelabu I, Nantogma S, Chekmenev EY, Theis T. Delivering Robust Proton-Only Sensing of Hyperpolarized [1,2- 13C 2]-Pyruvate Using Broad-Spectral-Range Nuclear Magnetic Resonance Pulse Sequences. ACS Sens 2023; 8:4101-4110. [PMID: 37948125 PMCID: PMC10883757 DOI: 10.1021/acssensors.3c01296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
Hyperpolarized [1-13C]pyruvate is the leading hyperpolarized injectable contrast agent and is currently under evaluation in clinical trials for molecular imaging of metabolic diseases, including cardiovascular disease and cancer. One aspect limiting broad scalability of the technique is that hyperpolarized 13C MRI requires specialized 13C hardware and software that are not generally available on clinical MRI scanners, which employ proton-only detection. Here, we present an approach that uses pulse sequences to transfer 13C hyperpolarization to methyl protons for detection of the 13C-13C pyruvate singlet, employing proton-only excitation and detection only. The new pulse sequences are robust to the B1 and B0 magnetic field inhomogeneities. The work focuses on singlet-to-magnetization (S2M) and rotor-synchronized (R) pulses, both relying on trains of hard pulses with broad spectral width coverage designed to effectively transform hyperpolarized 13C2-singlet hyperpolarization to 1H polarization on the CH3 group of [1,2-13C2]pyruvate. This approach may enable a broader adoption of hyperpolarized MRI as a molecular imaging technique.
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Affiliation(s)
- Iuliia Mandzhieva
- Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Isaiah Adelabu
- Department of Chemistry, Wayne State University, Detroit, Michigan 48202, United States
| | - Shiraz Nantogma
- Department of Chemistry, Wayne State University, Detroit, Michigan 48202, United States
| | - Eduard Y. Chekmenev
- Department of Chemistry, Wayne State University, Detroit, Michigan 48202, United States
- Biosciences (Ibio), Wayne State University, Detroit, Michigan 48202, United States
- Karmanos Cancer Institute (KCI), Detroit, Michigan 48201, United States
| | - Thomas Theis
- Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27606, United States
- Department of Physics, North Carolina State University, Raleigh, North Carolina 27606, United States
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Raleigh, North Carolina 27695, United States
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14
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Larson PE, Bernard JM, Bankson JA, Bøgh N, Bok RA, Chen AP, Cunningham CH, Gordon J, Hövener JB, Laustsen C, Mayer D, McLean MA, Schilling F, Slater J, Vanderheyden JL, von Morze C, Vigneron DB, Xu D, Group THCMC. Current Methods for Hyperpolarized [1-13C]pyruvate MRI Human Studies. ARXIV 2023:arXiv:2309.04040v2. [PMID: 37731660 PMCID: PMC10508833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
MRI with hyperpolarized (HP) 13C agents, also known as HP 13C MRI, can measure processes such as localized metabolism that is altered in numerous cancers, liver, heart, kidney diseases, and more. It has been translated into human studies during the past 10 years, with recent rapid growth in studies largely based on increasing availability of hyperpolarized agent preparation methods suitable for use in humans. This paper aims to capture the current successful practices for HP MRI human studies with [1-13C]pyruvate - by far the most commonly used agent, which sits at a key metabolic junction in glycolysis. The paper is divided into four major topic areas: (1) HP 13C-pyruvate preparation, (2) MRI system setup and calibrations, (3) data acquisition and image reconstruction, and (4) data analysis and quantification. In each area, we identified the key components for a successful study, summarized both published studies and current practices, and discuss evidence gaps, strengths, and limitations. This paper is the output of the HP 13C MRI Consensus Group as well as the ISMRM Hyperpolarized Media MR and Hyperpolarized Methods & Equipment study groups. It further aims to provide a comprehensive reference for future consensus building as the field continues to advance human studies with this metabolic imaging modality.
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15
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Jha PK, Walker C, Mitchell D, Oden JT, Schellingerhout D, Bankson JA, Fuentes DT. Mutual-information based optimal experimental design for hyperpolarized [Formula: see text]C-pyruvate MRI. Sci Rep 2023; 13:18047. [PMID: 37872226 PMCID: PMC10593962 DOI: 10.1038/s41598-023-44958-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 10/13/2023] [Indexed: 10/25/2023] Open
Abstract
A key parameter of interest recovered from hyperpolarized (HP) MRI measurements is the apparent pyruvate-to-lactate exchange rate, [Formula: see text], for measuring tumor metabolism. This manuscript presents an information-theory-based optimal experimental design approach that minimizes the uncertainty in the rate parameter, [Formula: see text], recovered from HP-MRI measurements. Mutual information is employed to measure the information content of the HP measurements with respect to the first-order exchange kinetics of the pyruvate conversion to lactate. Flip angles of the pulse sequence acquisition are optimized with respect to the mutual information. A time-varying flip angle scheme leads to a higher parameter optimization that can further improve the quantitative value of mutual information over a constant flip angle scheme. However, the constant flip angle scheme, 35 and 28 degrees for pyruvate and lactate measurements, leads to an accuracy and precision comparable to the variable flip angle schemes obtained from our method. Combining the comparable performance and practical implementation, optimized pyruvate and lactate flip angles of 35 and 28 degrees, respectively, are recommended.
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Affiliation(s)
- Prashant K. Jha
- Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712 USA
| | - Christopher Walker
- Department of Imaging Physics, MD Anderson Cancer Center, Houston, TX 77320 USA
| | - Drew Mitchell
- Department of Imaging Physics, MD Anderson Cancer Center, Houston, TX 77320 USA
| | - J. Tinsley Oden
- Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712 USA
| | | | - James A. Bankson
- Department of Imaging Physics, MD Anderson Cancer Center, Houston, TX 77320 USA
| | - David T. Fuentes
- Department of Imaging Physics, MD Anderson Cancer Center, Houston, TX 77320 USA
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16
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Chung BT, Kim Y, Gordon JW, Chen HY, Autry AW, Lee PM, Hu JY, Tan CT, Suszczynski C, Chang SM, Villanueva-Meyer JE, Bok RA, Larson PEZ, Xu D, Li Y, Vigneron DB. Hyperpolarized [2- 13C]pyruvate MR molecular imaging with whole brain coverage. Neuroimage 2023; 280:120350. [PMID: 37634883 PMCID: PMC10530049 DOI: 10.1016/j.neuroimage.2023.120350] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 06/20/2023] [Accepted: 08/24/2023] [Indexed: 08/29/2023] Open
Abstract
Hyperpolarized (HP) 13C Magnetic Resonance Imaging (MRI) was applied for the first time to image and quantify the uptake and metabolism of [2-13C]pyruvate in the human brain to provide new metabolic information on cerebral energy metabolism. HP [2-13C]pyruvate was injected intravenously and imaged in 5 healthy human volunteer exams with whole brain coverage in a 1-minute acquisition using a specialized spectral-spatial multi-slice echoplanar imaging (EPI) pulse sequence to acquire 13C-labeled volumetric and dynamic images of [2-13C]pyruvate and downstream metabolites [5-13C]glutamate and [2-13C]lactate. Metabolic ratios and apparent conversion rates of pyruvate-to-lactate (kPL) and pyruvate-to-glutamate (kPG) were quantified to investigate simultaneously glycolytic and oxidative metabolism in a single injection.
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Affiliation(s)
- Brian T Chung
- Department of Radiology and Biomedical Imaging, University of California, 1700 Fourth Street, Byers Hall Suite 102, San Francisco, CA 94158, USA; UCSF - UC Berkeley Graduate Program in Bioengineering, University of California, USA
| | - Yaewon Kim
- Department of Radiology and Biomedical Imaging, University of California, 1700 Fourth Street, Byers Hall Suite 102, San Francisco, CA 94158, USA.
| | - Jeremy W Gordon
- Department of Radiology and Biomedical Imaging, University of California, 1700 Fourth Street, Byers Hall Suite 102, San Francisco, CA 94158, USA
| | - Hsin-Yu Chen
- Department of Radiology and Biomedical Imaging, University of California, 1700 Fourth Street, Byers Hall Suite 102, San Francisco, CA 94158, USA
| | - Adam W Autry
- Department of Radiology and Biomedical Imaging, University of California, 1700 Fourth Street, Byers Hall Suite 102, San Francisco, CA 94158, USA
| | - Philip M Lee
- Department of Radiology and Biomedical Imaging, University of California, 1700 Fourth Street, Byers Hall Suite 102, San Francisco, CA 94158, USA; UCSF - UC Berkeley Graduate Program in Bioengineering, University of California, USA
| | - Jasmine Y Hu
- Department of Radiology and Biomedical Imaging, University of California, 1700 Fourth Street, Byers Hall Suite 102, San Francisco, CA 94158, USA; UCSF - UC Berkeley Graduate Program in Bioengineering, University of California, USA
| | - Chou T Tan
- ISOTEC Stable Isotope Division, MilliporeSigma, Merck KGaA, Miamisburg, OH 45342, USA
| | - Chris Suszczynski
- ISOTEC Stable Isotope Division, MilliporeSigma, Merck KGaA, Miamisburg, OH 45342, USA
| | - Susan M Chang
- Department of Neurological Surgery, University of California, San Francisco, CA 94158, USA
| | - Javier E Villanueva-Meyer
- Department of Radiology and Biomedical Imaging, University of California, 1700 Fourth Street, Byers Hall Suite 102, San Francisco, CA 94158, USA
| | - Robert A Bok
- Department of Radiology and Biomedical Imaging, University of California, 1700 Fourth Street, Byers Hall Suite 102, San Francisco, CA 94158, USA
| | - Peder E Z Larson
- Department of Radiology and Biomedical Imaging, University of California, 1700 Fourth Street, Byers Hall Suite 102, San Francisco, CA 94158, USA; UCSF - UC Berkeley Graduate Program in Bioengineering, University of California, USA
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, University of California, 1700 Fourth Street, Byers Hall Suite 102, San Francisco, CA 94158, USA; UCSF - UC Berkeley Graduate Program in Bioengineering, University of California, USA
| | - Yan Li
- Department of Radiology and Biomedical Imaging, University of California, 1700 Fourth Street, Byers Hall Suite 102, San Francisco, CA 94158, USA
| | - Daniel B Vigneron
- Department of Radiology and Biomedical Imaging, University of California, 1700 Fourth Street, Byers Hall Suite 102, San Francisco, CA 94158, USA; UCSF - UC Berkeley Graduate Program in Bioengineering, University of California, USA; Department of Neurological Surgery, University of California, San Francisco, CA 94158, USA
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17
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Deen SS, Rooney C, Shinozaki A, McGing J, Grist JT, Tyler DJ, Serrão E, Gallagher FA. Hyperpolarized Carbon 13 MRI: Clinical Applications and Future Directions in Oncology. Radiol Imaging Cancer 2023; 5:e230005. [PMID: 37682052 PMCID: PMC10546364 DOI: 10.1148/rycan.230005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 06/16/2023] [Accepted: 08/02/2023] [Indexed: 09/09/2023]
Abstract
Hyperpolarized carbon 13 MRI (13C MRI) is a novel imaging approach that can noninvasively probe tissue metabolism in both normal and pathologic tissues. The process of hyperpolarization increases the signal acquired by several orders of magnitude, allowing injected 13C-labeled molecules and their downstream metabolites to be imaged in vivo, thus providing real-time information on kinetics. To date, the most important reaction studied with hyperpolarized 13C MRI is exchange of the hyperpolarized 13C signal from injected [1-13C]pyruvate with the resident tissue lactate pool. Recent preclinical and human studies have shown the role of several biologic factors such as the lactate dehydrogenase enzyme, pyruvate transporter expression, and tissue hypoxia in generating the MRI signal from this reaction. Potential clinical applications of hyperpolarized 13C MRI in oncology include using metabolism to stratify tumors by grade, selecting therapeutic pathways based on tumor metabolic profiles, and detecting early treatment response through the imaging of shifts in metabolism that precede tumor structural changes. This review summarizes the foundations of hyperpolarized 13C MRI, presents key findings from human cancer studies, and explores the future clinical directions of the technique in oncology. Keywords: Hyperpolarized Carbon 13 MRI, Molecular Imaging, Cancer, Tissue Metabolism © RSNA, 2023.
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Affiliation(s)
- Surrin S Deen
- From the Department of Radiology, Cambridge University Hospitals, Biomedical Campus, Cambridge, CB2 0QQ, England (S.S.D., E.S., F.A.G.); Department of Physiology, Anatomy, and Genetics (C.R., A.S., J.T.G., D.J.T.) and the Oxford Centre for Clinical Magnetic Resonance Research (A.S., J.T.G., D.J.T.), University of Oxford, Oxford, England; Department of Radiology, Oxford University Hospitals, Oxford, England (J.M., J.T.G.); Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.T.G.); Department of Radiology, University of Cambridge, Cambridge, England (E.S., F.A.G.); Cancer Research UK Cambridge Centre, Cambridge, England (F.A.G.); and Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada (E.S.)
| | - Catriona Rooney
- From the Department of Radiology, Cambridge University Hospitals, Biomedical Campus, Cambridge, CB2 0QQ, England (S.S.D., E.S., F.A.G.); Department of Physiology, Anatomy, and Genetics (C.R., A.S., J.T.G., D.J.T.) and the Oxford Centre for Clinical Magnetic Resonance Research (A.S., J.T.G., D.J.T.), University of Oxford, Oxford, England; Department of Radiology, Oxford University Hospitals, Oxford, England (J.M., J.T.G.); Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.T.G.); Department of Radiology, University of Cambridge, Cambridge, England (E.S., F.A.G.); Cancer Research UK Cambridge Centre, Cambridge, England (F.A.G.); and Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada (E.S.)
| | - Ayaka Shinozaki
- From the Department of Radiology, Cambridge University Hospitals, Biomedical Campus, Cambridge, CB2 0QQ, England (S.S.D., E.S., F.A.G.); Department of Physiology, Anatomy, and Genetics (C.R., A.S., J.T.G., D.J.T.) and the Oxford Centre for Clinical Magnetic Resonance Research (A.S., J.T.G., D.J.T.), University of Oxford, Oxford, England; Department of Radiology, Oxford University Hospitals, Oxford, England (J.M., J.T.G.); Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.T.G.); Department of Radiology, University of Cambridge, Cambridge, England (E.S., F.A.G.); Cancer Research UK Cambridge Centre, Cambridge, England (F.A.G.); and Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada (E.S.)
| | - Jordan McGing
- From the Department of Radiology, Cambridge University Hospitals, Biomedical Campus, Cambridge, CB2 0QQ, England (S.S.D., E.S., F.A.G.); Department of Physiology, Anatomy, and Genetics (C.R., A.S., J.T.G., D.J.T.) and the Oxford Centre for Clinical Magnetic Resonance Research (A.S., J.T.G., D.J.T.), University of Oxford, Oxford, England; Department of Radiology, Oxford University Hospitals, Oxford, England (J.M., J.T.G.); Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.T.G.); Department of Radiology, University of Cambridge, Cambridge, England (E.S., F.A.G.); Cancer Research UK Cambridge Centre, Cambridge, England (F.A.G.); and Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada (E.S.)
| | - James T Grist
- From the Department of Radiology, Cambridge University Hospitals, Biomedical Campus, Cambridge, CB2 0QQ, England (S.S.D., E.S., F.A.G.); Department of Physiology, Anatomy, and Genetics (C.R., A.S., J.T.G., D.J.T.) and the Oxford Centre for Clinical Magnetic Resonance Research (A.S., J.T.G., D.J.T.), University of Oxford, Oxford, England; Department of Radiology, Oxford University Hospitals, Oxford, England (J.M., J.T.G.); Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.T.G.); Department of Radiology, University of Cambridge, Cambridge, England (E.S., F.A.G.); Cancer Research UK Cambridge Centre, Cambridge, England (F.A.G.); and Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada (E.S.)
| | - Damian J Tyler
- From the Department of Radiology, Cambridge University Hospitals, Biomedical Campus, Cambridge, CB2 0QQ, England (S.S.D., E.S., F.A.G.); Department of Physiology, Anatomy, and Genetics (C.R., A.S., J.T.G., D.J.T.) and the Oxford Centre for Clinical Magnetic Resonance Research (A.S., J.T.G., D.J.T.), University of Oxford, Oxford, England; Department of Radiology, Oxford University Hospitals, Oxford, England (J.M., J.T.G.); Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.T.G.); Department of Radiology, University of Cambridge, Cambridge, England (E.S., F.A.G.); Cancer Research UK Cambridge Centre, Cambridge, England (F.A.G.); and Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada (E.S.)
| | - Eva Serrão
- From the Department of Radiology, Cambridge University Hospitals, Biomedical Campus, Cambridge, CB2 0QQ, England (S.S.D., E.S., F.A.G.); Department of Physiology, Anatomy, and Genetics (C.R., A.S., J.T.G., D.J.T.) and the Oxford Centre for Clinical Magnetic Resonance Research (A.S., J.T.G., D.J.T.), University of Oxford, Oxford, England; Department of Radiology, Oxford University Hospitals, Oxford, England (J.M., J.T.G.); Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.T.G.); Department of Radiology, University of Cambridge, Cambridge, England (E.S., F.A.G.); Cancer Research UK Cambridge Centre, Cambridge, England (F.A.G.); and Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada (E.S.)
| | - Ferdia A Gallagher
- From the Department of Radiology, Cambridge University Hospitals, Biomedical Campus, Cambridge, CB2 0QQ, England (S.S.D., E.S., F.A.G.); Department of Physiology, Anatomy, and Genetics (C.R., A.S., J.T.G., D.J.T.) and the Oxford Centre for Clinical Magnetic Resonance Research (A.S., J.T.G., D.J.T.), University of Oxford, Oxford, England; Department of Radiology, Oxford University Hospitals, Oxford, England (J.M., J.T.G.); Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, England (J.T.G.); Department of Radiology, University of Cambridge, Cambridge, England (E.S., F.A.G.); Cancer Research UK Cambridge Centre, Cambridge, England (F.A.G.); and Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada (E.S.)
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18
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Vaeggemose M, Schulte RF, Hansen ESS, Miller JJ, Rasmussen CW, Pilgrim-Morris JH, Stewart NJ, Collier GJ, Wild JM, Laustsen C. A Framework for Predicting X-Nuclei Transmitter Gain Using 1H Signal. Tomography 2023; 9:1603-1616. [PMID: 37736981 PMCID: PMC10514872 DOI: 10.3390/tomography9050128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 08/13/2023] [Accepted: 08/18/2023] [Indexed: 09/23/2023] Open
Abstract
Commercial human MR scanners are optimised for proton imaging, containing sophisticated prescan algorithms with setting parameters such as RF transmit gain and power. These are not optimal for X-nuclear application and are challenging to apply to hyperpolarised experiments, where the non-renewable magnetisation signal changes during the experiment. We hypothesised that, despite the complex and inherently nonlinear electrodynamic physics underlying coil loading and spatial variation, simple linear regression would be sufficient to accurately predict X-nuclear transmit gain based on concomitantly acquired data from the proton body coil. We collected data across 156 scan visits at two sites as part of ongoing studies investigating sodium, hyperpolarised carbon, and hyperpolarised xenon. We demonstrate that simple linear regression is able to accurately predict sodium, carbon, or xenon transmit gain as a function of position and proton gain, with variation that is less than the intrasubject variability. In conclusion, sites running multinuclear studies may be able to remove the time-consuming need to separately acquire X-nuclear reference power calibration, inferring it from the proton instead.
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Affiliation(s)
- Michael Vaeggemose
- GE HealthCare, 2605 Brondby, Denmark;
- MR Research Centre, Aarhus University, 8200 Aarhus, Denmark; (E.S.S.H.); (J.J.M.)
| | | | - Esben S. S. Hansen
- MR Research Centre, Aarhus University, 8200 Aarhus, Denmark; (E.S.S.H.); (J.J.M.)
| | - Jack J. Miller
- MR Research Centre, Aarhus University, 8200 Aarhus, Denmark; (E.S.S.H.); (J.J.M.)
| | - Camilla W. Rasmussen
- MR Research Centre, Aarhus University, 8200 Aarhus, Denmark; (E.S.S.H.); (J.J.M.)
| | - Jemima H. Pilgrim-Morris
- POLARIS Group, University of Sheffield, Sheffield S10 2TN, UK; (J.H.P.-M.); (N.J.S.); (G.J.C.); (J.M.W.)
| | - Neil J. Stewart
- POLARIS Group, University of Sheffield, Sheffield S10 2TN, UK; (J.H.P.-M.); (N.J.S.); (G.J.C.); (J.M.W.)
| | - Guilhem J. Collier
- POLARIS Group, University of Sheffield, Sheffield S10 2TN, UK; (J.H.P.-M.); (N.J.S.); (G.J.C.); (J.M.W.)
| | - Jim M. Wild
- POLARIS Group, University of Sheffield, Sheffield S10 2TN, UK; (J.H.P.-M.); (N.J.S.); (G.J.C.); (J.M.W.)
| | - Christoffer Laustsen
- MR Research Centre, Aarhus University, 8200 Aarhus, Denmark; (E.S.S.H.); (J.J.M.)
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19
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Autry AW, Vaziri S, LaFontaine M, Gordon JW, Chen HY, Kim Y, Villanueva-Meyer JE, Molinaro A, Clarke JL, Oberheim Bush NA, Xu D, Lupo JM, Larson PEZ, Vigneron DB, Chang SM, Li Y. Multi-parametric hyperpolarized 13C/ 1H imaging reveals Warburg-related metabolic dysfunction and associated regional heterogeneity in high-grade human gliomas. Neuroimage Clin 2023; 39:103501. [PMID: 37611371 PMCID: PMC10470324 DOI: 10.1016/j.nicl.2023.103501] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 07/29/2023] [Accepted: 08/16/2023] [Indexed: 08/25/2023]
Abstract
BACKGROUND Dynamic hyperpolarized (HP)-13C MRI has enabled real-time, non-invasive assessment of Warburg-related metabolic dysregulation in glioma using a [1-13C]pyruvate tracer that undergoes conversion to [1-13C]lactate and [13C]bicarbonate. Using a multi-parametric 1H/HP-13C imaging approach, we investigated dynamic and steady-state metabolism, together with physiological parameters, in high-grade gliomas to characterize active tumor. METHODS Multi-parametric 1H/HP-13C MRI data were acquired from fifteen patients with progressive/treatment-naïve glioblastoma [prog/TN GBM, IDH-wildtype (n = 11)], progressive astrocytoma, IDH-mutant, grade 4 (G4AIDH+, n = 2) and GBM manifesting treatment effects (n = 2). Voxel-wise regional analysis of the cohort with prog/TN GBM assessed imaging heterogeneity across contrast-enhancing/non-enhancing lesions (CEL/NEL) and normal-appearing white matter (NAWM) using a mixed effects model. To enable cross-nucleus parameter association, normalized perfusion, diffusion, and dynamic/steady-state (HP-13C/spectroscopic) metabolic data were collectively examined at the 13C resolution. Prog/TN GBM were similarly compared against progressive G4AIDH+ and treatment effects. RESULTS Regional analysis of Prog/TN GBM metabolism revealed statistically significant heterogeneity in 1H choline-to-N-acetylaspartate index (CNI)max, [1-13C]lactate, modified [1-13C]lactate-to-[1-13C]pyruvate ratio (CELval > NELval > NAWMval); [1-13C]lactate-to-[13C]bicarbonate ratio (CELval > NELval/NAWMval); and 1H-lactate (CELval/NELval > NAWMundetected). Significant associations were found between normalized perfusion (cerebral blood volume, nCBV; peak height, nPH) and levels of [1-13C]pyruvate and [1-13C]lactate, as well as between CNImax and levels of [1-13C]pyruvate, [1-13C]lactate and modified ratio. GBM, by comparison to G4AIDH+, displayed lower perfusion %-recovery and modeled rate constants for [1-13C]pyruvate-to-[1-13C]lactate conversion (kPL), and higher 1H-lactate and [1-13C]pyruvate levels, while having higher nCBV, %-recovery, kPL, [1-13C]pyruvate-to-[1-13C]lactate and modified ratios relative to treatment effects. CONCLUSIONS GBM consistently displayed aberrant, Warburg-related metabolism and regional heterogeneity detectable by novel HP-13C/1H imaging techniques.
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Affiliation(s)
- Adam W Autry
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Sana Vaziri
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Marisa LaFontaine
- 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
| | - Yaewon Kim
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Javier E Villanueva-Meyer
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA; Department of Neurological Surgery, University of California, San Francisco, USA
| | - Annette Molinaro
- Department of Neurological Surgery, University of California, San Francisco, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, USA
| | - Jennifer L Clarke
- Department of Neurological Surgery, University of California, San Francisco, USA; Department of Neurology, University of California, San Francisco, USA
| | - Nancy Ann Oberheim Bush
- Department of Neurological Surgery, University of California, San Francisco, USA; Department of Neurology, University of California, San Francisco, USA
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Janine M Lupo
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Peder E Z Larson
- Department of Radiology and Biomedical Imaging, 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 Science, University of California, San Francisco, USA
| | - Susan M Chang
- Department of Neurological Surgery, University of California, San Francisco, USA
| | - Yan Li
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA.
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20
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Liu X, Tang S, Cui D, Bok RA, Chen HY, Gordon JW, Wang ZJ, Larson PEZ. A metabolite specific 3D stack-of-spirals bSSFP sequence for improved bicarbonate imaging in hyperpolarized [1- 13C]Pyruvate MRI. JOURNAL OF MAGNETIC RESONANCE (SAN DIEGO, CALIF. : 1997) 2023; 353:107518. [PMID: 37402333 PMCID: PMC10498937 DOI: 10.1016/j.jmr.2023.107518] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 06/23/2023] [Accepted: 06/25/2023] [Indexed: 07/06/2023]
Abstract
13C-bicarbonate is a crucial measure of pyruvate oxidation and TCA cycle flux, but is challenging to measure due to its relatively low concentration and thus will greatly benefit from improved signal-to-noise ratio (SNR). To address this, we developed and investigated the feasibility of a 3D stack-of-spirals metabolite-specific balanced steady-state free precession (MS-bSSFP) sequence for improving the SNR and spatial resolution of dynamic 13C-bicarbonate imaging in hyperpolarized [1-13C]pyruvate studies. The bicarbonate MS-bSSFP sequence was evaluated by simulations, phantoms studies, preclinical studies on five rats, brain studies on two healthy volunteers and renal study on one renal cell carcinoma patient. The simulations and phantom results showed that the bicarbonate-specific pulse had minimal perturbation of other metabolites (<1%). In the animal studies, the MS-bSSFP sequence provided an approximately 2.6-3 × improvement in 13C-bicarbonate SNR compared to a metabolite-specific gradient echo (MS-GRE) sequence without altering the bicarbonate or pyruvate kinetics, and the shorter spiral readout in the MS-bSSFP approach reduced blurring. Using the SNR ratio between MS-bSSFP and MS-GRE, the T2 values of bicarbonate and lactate in the rat kidneys were estimated as 0.5 s and 1.1 s, respectively. The in-vivo feasibility of bicarbonate MS-bSSFP sequence was demonstrated in two human brain studies and one renal study. These studies demonstrate the potential of the sequence for in-vivo applications, laying the foundation for future studies to observe this relatively low concentration metabolite with high-quality images and improve measurements of pyruvate oxidation.
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Affiliation(s)
- Xiaoxi Liu
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | | | - Di Cui
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Robert A Bok
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Hsin-Yu Chen
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Jeremy W Gordon
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Zhen J Wang
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Peder E Z Larson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA; Graduate Program in Bioengineering, University of California, Berkeley and San Francisco, San Francisco, CA, USA.
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21
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Guglielmetti C, Cordano C, Najac C, Green AJ, Chaumeil MM. Imaging immunomodulatory treatment responses in a multiple sclerosis mouse model using hyperpolarized 13C metabolic MRI. COMMUNICATIONS MEDICINE 2023; 3:71. [PMID: 37217574 DOI: 10.1038/s43856-023-00300-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 05/03/2023] [Indexed: 05/24/2023] Open
Abstract
BACKGROUND In recent years, the ability of conventional magnetic resonance imaging (MRI), including T1 contrast-enhanced (CE) MRI, to monitor high-efficacy therapies and predict long-term disability in multiple sclerosis (MS) has been challenged. Therefore, non-invasive methods to improve MS lesions detection and monitor therapy response are needed. METHODS We studied the combined cuprizone and experimental autoimmune encephalomyelitis (CPZ-EAE) mouse model of MS, which presents inflammatory-mediated demyelinated lesions in the central nervous system as commonly seen in MS patients. Using hyperpolarized 13C MR spectroscopy (MRS) metabolic imaging, we measured cerebral metabolic fluxes in control, CPZ-EAE and CPZ-EAE mice treated with two clinically-relevant therapies, namely fingolimod and dimethyl fumarate. We also acquired conventional T1 CE MRI to detect active lesions, and performed ex vivo measurements of enzyme activities and immunofluorescence analyses of brain tissue. Last, we evaluated associations between imaging and ex vivo parameters. RESULTS We show that hyperpolarized [1-13C]pyruvate conversion to lactate is increased in the brain of untreated CPZ-EAE mice when compared to the control, reflecting immune cell activation. We further demonstrate that this metabolic conversion is significantly decreased in response to the two treatments. This reduction can be explained by increased pyruvate dehydrogenase activity and a decrease in immune cells. Importantly, we show that hyperpolarized 13C MRS detects dimethyl fumarate therapy, whereas conventional T1 CE MRI cannot. CONCLUSIONS In conclusion, hyperpolarized MRS metabolic imaging of [1-13C]pyruvate detects immunological responses to disease-modifying therapies in MS. This technique is complementary to conventional MRI and provides unique information on neuroinflammation and its modulation.
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Affiliation(s)
- Caroline Guglielmetti
- Department of Physical Therapy and Rehabilitation Science, University of California San Francisco, San Francisco, CA, USA.
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA.
| | - Christian Cordano
- Department of Neurology, Weill Institute for Neurosciences, University of California at San Francisco, San Francisco, CA, USA
| | - Chloé Najac
- Department of Radiology, C.J. Gorter MRI Center, Leiden University Medical Center, Leiden, The Netherlands
| | - Ari J Green
- Department of Neurology, Weill Institute for Neurosciences, University of California at San Francisco, San Francisco, CA, USA
- Department of Ophthalmology, University of California at San Francisco, CA, San Francisco, USA
| | - Myriam M Chaumeil
- Department of Physical Therapy and Rehabilitation Science, University of California San Francisco, San Francisco, CA, USA.
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA.
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22
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Lovibond S, Gewirtz AN, Pasquini L, Krebs S, Graham MS. The promise of metabolic imaging in diffuse midline glioma. Neoplasia 2023; 39:100896. [PMID: 36944297 PMCID: PMC10036941 DOI: 10.1016/j.neo.2023.100896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 02/10/2023] [Accepted: 03/13/2023] [Indexed: 03/23/2023]
Abstract
Recent insights into histopathological and molecular subgroups of glioma have revolutionized the field of neuro-oncology by refining diagnostic categories. An emblematic example in pediatric neuro-oncology is the newly defined diffuse midline glioma (DMG), H3 K27-altered. DMG represents a rare tumor with a dismal prognosis. The diagnosis of DMG is largely based on clinical presentation and characteristic features on conventional magnetic resonance imaging (MRI), with biopsy limited by its delicate neuroanatomic location. Standard MRI remains limited in its ability to characterize tumor biology. Advanced MRI and positron emission tomography (PET) imaging offer additional value as they enable non-invasive evaluation of molecular and metabolic features of brain tumors. These techniques have been widely used for tumor detection, metabolic characterization and treatment response monitoring of brain tumors. However, their role in the realm of pediatric DMG is nascent. By summarizing DMG metabolic pathways in conjunction with their imaging surrogates, we aim to elucidate the untapped potential of such imaging techniques in this devastating disease.
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Affiliation(s)
- Samantha Lovibond
- Molecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alexandra N Gewirtz
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Luca Pasquini
- Molecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Simone Krebs
- Molecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Radiochemistry and Imaging Sciences Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Radiology, Weill Cornell Medical College, New York, NY 10065, USA
| | - Maya S Graham
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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23
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Sharma G, Enriquez JS, Armijo R, Wang M, Bhattacharya P, Pudakalakatti S. Enhancing Cancer Diagnosis with Real-Time Feedback: Tumor Metabolism through Hyperpolarized 1- 13C Pyruvate MRSI. Metabolites 2023; 13:metabo13050606. [PMID: 37233647 DOI: 10.3390/metabo13050606] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 04/19/2023] [Accepted: 04/23/2023] [Indexed: 05/27/2023] Open
Abstract
This review article discusses the potential of hyperpolarized (HP) 13C magnetic resonance spectroscopic imaging (MRSI) as a noninvasive technique for identifying altered metabolism in various cancer types. Hyperpolarization significantly improves the signal-to-noise ratio for the identification of 13C-labeled metabolites, enabling dynamic and real-time imaging of the conversion of [1-13C] pyruvate to [1-13C] lactate and/or [1-13C] alanine. The technique has shown promise in identifying upregulated glycolysis in most cancers, as compared to normal cells, and detecting successful treatment responses at an earlier stage than multiparametric MRI in breast and prostate cancer patients. The review provides a concise overview of the applications of HP [1-13C] pyruvate MRSI in various cancer systems, highlighting its potential for use in preclinical and clinical investigations, precision medicine, and long-term studies of therapeutic response. The article also discusses emerging frontiers in the field, such as combining multiple metabolic imaging techniques with HP MRSI for a more comprehensive view of cancer metabolism, and leveraging artificial intelligence to develop real-time, actionable biomarkers for early detection, assessing aggressiveness, and interrogating the early efficacy of therapies.
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Affiliation(s)
- Gaurav Sharma
- Department of Cardiovascular & Thoracic Surgery, UT Southwestern Medical Center, Dallas, TX 75390, USA
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - José S Enriquez
- Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 75390, USA
- Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 75390, USA
| | - Ryan Armijo
- Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 75390, USA
| | - Muxin Wang
- Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 75390, USA
| | - Pratip Bhattacharya
- Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 75390, USA
- Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 75390, USA
| | - Shivanand Pudakalakatti
- Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 75390, USA
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24
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Xu Z, Michel KA, Walker CM, Harlan CJ, Martinez GV, Gordon JW, Chen HY, Vigneron DB, Bankson JA. Model-constrained reconstruction accelerated with Fourier-based undersampling for hyperpolarized [1- 13 C] pyruvate imaging. Magn Reson Med 2023; 89:1481-1495. [PMID: 36468638 PMCID: PMC9892212 DOI: 10.1002/mrm.29551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 11/14/2022] [Accepted: 11/15/2022] [Indexed: 12/12/2022]
Abstract
PURPOSE Model-constrained reconstruction with Fourier-based undersampling (MoReFUn) is introduced to accelerate the acquisition of dynamic MRI using hyperpolarized [1-13 C]-pyruvate. METHODS The MoReFUn method resolves spatial aliasing using constraints introduced by a pharmacokinetic model that describes the signal evolution of both pyruvate and lactate. Acceleration was evaluated on three single-channel data sets: a numerical digital phantom that is used to validate the accuracy of reconstruction and model parameter restoration under various SNR and undersampling ratios, prospectively and retrospectively sampled data of an in vitro dynamic multispectral phantom, and retrospectively undersampled imaging data from a prostate cancer patient to test the fidelity of reconstructed metabolite time series. RESULTS All three data sets showed successful reconstruction using MoReFUn. In simulation and retrospective phantom data, the restored time series of pyruvate and lactate maintained the image details, and the mean square residual error of the accelerated reconstruction increased only slightly (< 10%) at a reduction factor up to 8. In prostate data, the quantitative estimation of the conversion-rate constant of pyruvate to lactate was achieved with high accuracy of less than 10% error at a reduction factor of 2 compared with the conversion rate derived from unaccelerated data. CONCLUSION The MoReFUn technique can be used as an effective and reliable imaging acceleration method for metabolic imaging using hyperpolarized [1-13 C]-pyruvate.
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Affiliation(s)
- Zhan Xu
- Department of Imaging Physics, The University of Texas-MD Anderson Cancer Center, Houston, TX
| | - Keith A. Michel
- Department of Imaging Physics, The University of Texas-MD Anderson Cancer Center, Houston, TX
| | - Christopher M. Walker
- Department of Imaging Physics, The University of Texas-MD Anderson Cancer Center, Houston, TX
| | - Collin J. Harlan
- Department of Imaging Physics, The University of Texas-MD Anderson Cancer Center, Houston, TX
- The University of Texas MD Anderson Cancer Center UT Health Graduate School of Biomedical Sciences, Houston, TX
| | - Gary V. Martinez
- Department of Imaging Physics, The University of Texas-MD Anderson Cancer Center, Houston, TX
| | - Jeremy W. Gordon
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA
| | - Hsin-Yu Chen
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA
| | - Daniel B. Vigneron
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA
| | - James A. Bankson
- Department of Imaging Physics, The University of Texas-MD Anderson Cancer Center, Houston, TX
- The University of Texas MD Anderson Cancer Center UT Health Graduate School of Biomedical Sciences, Houston, TX
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25
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Chen Ming Low J, Wright AJ, Hesse F, Cao J, Brindle KM. Metabolic imaging with deuterium labeled substrates. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2023; 134-135:39-51. [PMID: 37321757 DOI: 10.1016/j.pnmrs.2023.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 01/12/2023] [Accepted: 02/07/2023] [Indexed: 06/17/2023]
Abstract
Deuterium metabolic imaging (DMI) is an emerging clinically-applicable technique for the non-invasive investigation of tissue metabolism. The generally short T1 values of 2H-labeled metabolites in vivo can compensate for the relatively low sensitivity of detection by allowing rapid signal acquisition in the absence of significant signal saturation. Studies with deuterated substrates, including [6,6'-2H2]glucose, [2H3]acetate, [2H9]choline and [2,3-2H2]fumarate have demonstrated the considerable potential of DMI for imaging tissue metabolism and cell death in vivo. The technique is evaluated here in comparison with established metabolic imaging techniques, including PET measurements of 2-deoxy-2-[18F]fluoro-d-glucose (FDG) uptake and 13C MR imaging of the metabolism of hyperpolarized 13C-labeled substrates.
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Affiliation(s)
- Jacob Chen Ming Low
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK.
| | - Alan J Wright
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK.
| | - Friederike Hesse
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK.
| | - Jianbo Cao
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK.
| | - Kevin M Brindle
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK.
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26
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Sahin SI, Ji X, Agarwal S, Sinha A, Mali I, Gordon JW, Mattingly M, Subramaniam S, Kurhanewicz J, Larson PEZ, Sriram R. Metabolite-Specific Echo Planar Imaging for Preclinical Studies with Hyperpolarized 13C-Pyruvate MRI. Tomography 2023; 9:736-749. [PMID: 37104130 PMCID: PMC10143874 DOI: 10.3390/tomography9020059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 03/17/2023] [Accepted: 03/19/2023] [Indexed: 03/29/2023] Open
Abstract
Metabolite-specific echo-planar imaging (EPI) sequences with spectral–spatial (spsp) excitation are commonly used in clinical hyperpolarized [1-13C]pyruvate studies because of their speed, efficiency, and flexibility. In contrast, preclinical systems typically rely on slower spectroscopic methods, such as chemical shift imaging (CSI). In this study, a 2D spspEPI sequence was developed for use on a preclinical 3T Bruker system and tested on in vivo mice experiments with patient-derived xenograft renal cell carcinoma (RCC) or prostate cancer tissues implanted in the kidney or liver. Compared to spspEPI sequences, CSI were found to have a broader point spread function via simulations and exhibited signal bleeding between vasculature and tumors in vivo. Parameters for the spspEPI sequence were optimized using simulations and verified with in vivo data. The expected lactate SNR and pharmacokinetic modeling accuracy increased with lower pyruvate flip angles (less than 15°), intermediate lactate flip angles (25° to 40°), and temporal resolution of 3 s. Overall SNR was also higher with coarser spatial resolution (4 mm isotropic vs. 2 mm isotropic). Pharmacokinetic modelling used to fit kPL maps showed results consistent with the previous literature and across different sequences and tumor xenografts. This work describes and justifies the pulse design and parameter choices for preclinical spspEPI hyperpolarized 13C-pyruvate studies and shows superior image quality to CSI.
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Affiliation(s)
- Sule I. Sahin
- UC Berkeley—UCSF Graduate Program in Bioengineering, Berkeley, CA 94720, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94016, USA
| | - Xiao Ji
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94016, USA
| | - Shubhangi Agarwal
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94016, USA
| | - Avantika Sinha
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94016, USA
| | - Ivina Mali
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94016, USA
| | - Jeremy W. Gordon
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94016, USA
| | | | - Sukumar Subramaniam
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94016, USA
| | - John Kurhanewicz
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94016, USA
| | - Peder E. Z. Larson
- UC Berkeley—UCSF Graduate Program in Bioengineering, Berkeley, CA 94720, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94016, USA
- Correspondence: (P.E.Z.L.); (R.S.)
| | - Renuka Sriram
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94016, USA
- Correspondence: (P.E.Z.L.); (R.S.)
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27
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Lactate induces tumor-associated macrophage polarization independent of mitochondrial pyruvate carrier-mediated metabolism. Int J Biol Macromol 2023; 237:123810. [PMID: 36868333 DOI: 10.1016/j.ijbiomac.2023.123810] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 11/02/2022] [Accepted: 02/18/2023] [Indexed: 03/05/2023]
Abstract
Tumor cell-derived lactate has been recognized as the key driver of polarization in tumor-associated macrophages (TAMs). Intratumoral lactate can be transported into macrophages to fuel the TCA cycle, which is mediated by mitochondrial pyruvate carrier (MPC). At the heart of intracellular metabolism, MPC-mediated transport has been investigated in studies which suggested its role and importance in the process of TAMs polarization. However, previous studies relied on pharmacological inhibition instead of genetic approaches to evaluate the role of MPC in TAMs polarization. Here, we demonstrated that genetic depletion of MPC blocks the entry of lactate into mitochondria in macrophages. However, MPC-mediated metabolism was dispensable for IL-4/lactate-induced macrophages polarization as well as tumor growth. In addition, MPC depletion had no impact on hypoxia-inducible factor 1α (HIF-1α) stabilization and histone lactylation, both of which are required for TAMs polarization. Our study suggests that lactate itself, rather than its downstream metabolites, is responsible for TAMs polarization.
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Molecular MRI-Based Monitoring of Cancer Immunotherapy Treatment Response. Int J Mol Sci 2023; 24:ijms24043151. [PMID: 36834563 PMCID: PMC9959624 DOI: 10.3390/ijms24043151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 01/29/2023] [Accepted: 02/02/2023] [Indexed: 02/09/2023] Open
Abstract
Immunotherapy constitutes a paradigm shift in cancer treatment. Its FDA approval for several indications has yielded improved prognosis for cases where traditional therapy has shown limited efficiency. However, many patients still fail to benefit from this treatment modality, and the exact mechanisms responsible for tumor response are unknown. Noninvasive treatment monitoring is crucial for longitudinal tumor characterization and the early detection of non-responders. While various medical imaging techniques can provide a morphological picture of the lesion and its surrounding tissue, a molecular-oriented imaging approach holds the key to unraveling biological effects that occur much earlier in the immunotherapy timeline. Magnetic resonance imaging (MRI) is a highly versatile imaging modality, where the image contrast can be tailored to emphasize a particular biophysical property of interest using advanced engineering of the imaging pipeline. In this review, recent advances in molecular-MRI based cancer immunotherapy monitoring are described. Next, the presentation of the underlying physics, computational, and biological features are complemented by a critical analysis of the results obtained in preclinical and clinical studies. Finally, emerging artificial intelligence (AI)-based strategies to further distill, quantify, and interpret the image-based molecular MRI information are discussed in terms of perspectives for the future.
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29
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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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30
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Pokochueva EV, Svyatova AI, Burueva DB, Koptyug IV. Chemistry of nuclear spin isomers of the molecules: from the past of the Universe to emerging technologies. Russ Chem Bull 2023. [DOI: 10.1007/s11172-023-3711-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
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31
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Mandzhieva I, Adelabu I, Chekmenev EY, Theis T. Proton-Only Sensing of Hyperpolarized [1,2- 13C 2]Pyruvate. ACS Sens 2022; 7:3773-3781. [PMID: 36414238 PMCID: PMC10284333 DOI: 10.1021/acssensors.2c01608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Hyperpolarized MRI is emerging as a next-generation molecular imaging modality that can detect metabolic transformations in real time deep inside tissue and organs. 13C-hyperpolarized pyruvate is the leading hyperpolarized contrast agent that can probe cellular energetics in real time. Currently, hyperpolarized MRI requires specialized "multinuclear" MRI scanners that have the ability to excite and detect 13C signals. The objective of this work is the development of an approach that works on conventional (i.e., proton-only) MRI systems while taking advantage of long-lived 13C hyperpolarization. The long-lived singlet state of [1,2-13C2]pyruvate is hyperpolarized with parahydrogen in reversible exchange, and subsequently, the polarization is transferred from the 13C2 spin pair to the methyl protons of pyruvate for detection. This polarization transfer is accomplished with spin-lock induced crossing pulses that are only applied to the methyl protons yet access the hyperpolarization stored in the 13C2 singlet state. Theory and first experimental demonstrations are provided for our method, which obviates 13C excitation and detection for proton sensing of 13C-hyperpolarized pyruvate with an overall experimental-polarization transfer efficiency of ∼22% versus a theoretically predicted polarization transfer efficiency of 25%.
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Affiliation(s)
- Iuliia Mandzhieva
- Department of Chemistry North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Isaiah Adelabu
- Department of Chemistry, Wayne State University, Detroit, Michigan 48202, United States
| | - Eduard Y. Chekmenev
- Department of Chemistry, Wayne State University, Detroit, Michigan 48202, United States
- Biosciences (Ibio), Wayne State University, Detroit, Michigan 48202, United States
- Karmanos Cancer Institute (KCI), Detroit, Michigan 48201, United States
| | - Thomas Theis
- Department of Chemistry North Carolina State University, Raleigh, North Carolina 27606, United States
- Department of Physics, North Carolina State University, Raleigh, North Carolina 27606, United States
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Raleigh, North Carolina 27695, United States
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Micro-Slab Coil Design for Hyperpolarized Metabolic Flux Analysis in Multiple Samples. BIOENGINEERING (BASEL, SWITZERLAND) 2022; 10:bioengineering10010014. [PMID: 36671586 PMCID: PMC9854444 DOI: 10.3390/bioengineering10010014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/06/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022]
Abstract
Abnormal metabolism is a hallmark of cancer cells. Accumulating evidence suggests that metabolic changes are likely to occur before other cellular responses in cancer cells upon drug treatment. Therefore, the metabolic activity or flux in cancer cells could be a potent biomarker for cancer detection and treatment monitoring. Magnetic resonance (MR)-based sensing technologies have been developed with hyperpolarized molecules for real-time flux analysis, but they still suffer from low sensitivity and throughput. To address this limitation, we have developed an innovative miniaturized MR coil, termed micro-slab MR coil, for simultaneous analysis of metabolic flux in multiple samples. Combining this approach with hyperpolarized probes, we were able to quantify the pyruvate-to-lactate flux in two different leukemic cell lines in a non-destructive manner, simultaneously. Further, we were able to rapidly assess flux changes with drug treatment in a single hyperpolarization experiment. This new multi-sample system has the potential to transform our ability to assess metabolic dynamics at scale.
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Liu Z, Zhu Y, Zhang L, Jiang W, Liu Y, Tang Q, Cai X, Li J, Wang L, Tao C, Yin X, Li X, Hou S, Jiang D, Liu K, Zhou X, Zhang H, Liu M, Fan C, Tian Y. Structural and functional imaging of brains. Sci China Chem 2022; 66:324-366. [PMID: 36536633 PMCID: PMC9753096 DOI: 10.1007/s11426-022-1408-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 09/28/2022] [Indexed: 12/23/2022]
Abstract
Analyzing the complex structures and functions of brain is the key issue to understanding the physiological and pathological processes. Although neuronal morphology and local distribution of neurons/blood vessels in the brain have been known, the subcellular structures of cells remain challenging, especially in the live brain. In addition, the complicated brain functions involve numerous functional molecules, but the concentrations, distributions and interactions of these molecules in the brain are still poorly understood. In this review, frontier techniques available for multiscale structure imaging from organelles to the whole brain are first overviewed, including magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), serial-section electron microscopy (ssEM), light microscopy (LM) and synchrotron-based X-ray microscopy (XRM). Specially, XRM for three-dimensional (3D) imaging of large-scale brain tissue with high resolution and fast imaging speed is highlighted. Additionally, the development of elegant methods for acquisition of brain functions from electrical/chemical signals in the brain is outlined. In particular, the new electrophysiology technologies for neural recordings at the single-neuron level and in the brain are also summarized. We also focus on the construction of electrochemical probes based on dual-recognition strategy and surface/interface chemistry for determination of chemical species in the brain with high selectivity and long-term stability, as well as electrochemophysiological microarray for simultaneously recording of electrochemical and electrophysiological signals in the brain. Moreover, the recent development of brain MRI probes with high contrast-to-noise ratio (CNR) and sensitivity based on hyperpolarized techniques and multi-nuclear chemistry is introduced. Furthermore, multiple optical probes and instruments, especially the optophysiological Raman probes and fiber Raman photometry, for imaging and biosensing in live brain are emphasized. Finally, a brief perspective on existing challenges and further research development is provided.
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Affiliation(s)
- Zhichao Liu
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241 China
| | - Ying Zhu
- Interdisciplinary Research Center, Shanghai Synchrotron Radiation Facility, Zhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 201210 China
| | - Liming Zhang
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241 China
| | - Weiping Jiang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Chinese Academy of Sciences, Wuhan National Laboratory for Optoelectronics, Wuhan, 430071 China
| | - Yawei Liu
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022 China
| | - Qiaowei Tang
- Interdisciplinary Research Center, Shanghai Synchrotron Radiation Facility, Zhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 201210 China
| | - Xiaoqing Cai
- Interdisciplinary Research Center, Shanghai Synchrotron Radiation Facility, Zhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 201210 China
| | - Jiang Li
- Interdisciplinary Research Center, Shanghai Synchrotron Radiation Facility, Zhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 201210 China
| | - Lihua Wang
- Interdisciplinary Research Center, Shanghai Synchrotron Radiation Facility, Zhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 201210 China
| | - Changlu Tao
- Interdisciplinary Center for Brain Information, Brain Cognition and Brain Disease Institute, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Faculty of Life and Health Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China
| | | | - Xiaowei Li
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240 China
| | - Shangguo Hou
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055 China
| | - Dawei Jiang
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022 China
| | - Kai Liu
- Department of Chemistry, Tsinghua University, Beijing, 100084 China
| | - Xin Zhou
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Chinese Academy of Sciences, Wuhan National Laboratory for Optoelectronics, Wuhan, 430071 China
| | - Hongjie Zhang
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022 China
- Department of Chemistry, Tsinghua University, Beijing, 100084 China
| | - Maili Liu
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Chinese Academy of Sciences, Wuhan National Laboratory for Optoelectronics, Wuhan, 430071 China
| | - Chunhai Fan
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240 China
| | - Yang Tian
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241 China
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Miloushev VZ, Boltyanskiy R, Granlund KL, Keshari KR. Improved total sensitivity estimation for multiple receive coils in MRI using ratios of first-order statistics. MAGMA (NEW YORK, N.Y.) 2022; 35:895-901. [PMID: 35876917 PMCID: PMC9613615 DOI: 10.1007/s10334-022-01028-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 06/10/2022] [Accepted: 06/23/2022] [Indexed: 06/15/2023]
Abstract
OBJECT Spatial variation in the sensitivity profiles of receive coils in MRI leads to spatially dependent scaling of the signal amplitude across an image. In practice, total sensitivity of the coil array is either calibrated or corrected directly by comparison to a uniform sensitivity image, fitting of coil profiles, or indirectly by constraining the reconstructed image or coil profiles. In the absence of these corrections, popular coil summation strategies are often designed to maximize the signal-to-noise ratio or optimize under-sampled encoding but not necessarily estimate the value of the signal unscaled by the coil spatial sensitivity. MATERIALS AND METHODS We use ratios of first-order statistics to approach the unscaled value of the signal at any position. Motivated by the assumption that the coil array is a sample from much larger number of possible coils, we present two approaches to scale the mean signal in all coils: (1) an argument for use of the mode of the normalized signals, and (2) using a one-dimensional analog derive an approximate expression for scaling with the ratio of the square-of-the-mean to the mean-of-the-squares. We test these approaches with simulation where idealized coil elements are arrayed around an object, and on directly acquired data with an 8-channel coil array on a uniform 13C phantom, and on Hyperpolarized 13C pyruvate brain MRI. RESULTS We show improved image uniformity using the ratios of first order statistics compared to a simple homomorphic filter, noting that these approaches are more sensitive to noise. DISCUSSION We present simple methods for correcting the spatial variation in sensitivity profiles in the context of a coil array. These methods can be used as an initial or adjunct step in data post-processing.
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Affiliation(s)
- Vesselin Z Miloushev
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
| | | | | | - Kayvan R Keshari
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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35
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Minami N, Hong D, Stevers N, Barger CJ, Radoul M, Hong C, Chen L, Kim Y, Batsios G, Gillespie AM, Pieper RO, Costello JF, Viswanath P, Ronen SM. Imaging biomarkers of TERT or GABPB1 silencing in TERT-positive glioblastoma. Neuro Oncol 2022; 24:1898-1910. [PMID: 35460557 PMCID: PMC9629440 DOI: 10.1093/neuonc/noac112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND TERT promoter mutations are observed in 80% of wild-type IDH glioblastoma (GBM). Moreover, the upstream TERT transcription factor GABPB1 was recently identified as a cancer-specific therapeutic target for tumors harboring a TERT promoter mutation. In that context, noninvasive imaging biomarkers are needed for the detection of TERT modulation. METHODS Multiple GBM models were investigated as cells and in vivo tumors and the impact of TERT silencing, either directly or by targeting GABPB1, was determined using 1H and hyperpolarized 13C magnetic resonance spectroscopy (MRS). Changes in associated metabolic enzymes were also investigated. RESULTS 1H-MRS revealed that lactate and glutathione (GSH) were the most significantly altered metabolites when either TERT or GABPB1 was silenced, and lactate and GSH levels were correlated with cellular TERT expression. Consistent with the drop in lactate, 13C-MRS showed that hyperpolarized [1-13C]lactate production from [1-13C]pyruvate was also reduced when TERT was silenced. Mechanistically, the reduction in GSH was associated with a reduction in pentose phosphate pathway flux, reduced activity of glucose-6-phosphate dehydrogenase, and reduced NADPH. The drop in lactate and hyperpolarized lactate were associated with reductions in glycolytic flux, NADH, and expression/activity of GLUT1, monocarboxylate transporters, and lactate dehydrogenase A. CONCLUSIONS Our study indicates that MRS-detectable GSH, lactate, and lactate production could serve as metabolic biomarkers of response to emerging TERT-targeted therapies for GBM with activating TERT promoter mutations. Importantly these biomarkers are readily translatable to the clinic, and thus could ultimately improve GBM patient management.
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Affiliation(s)
- Noriaki Minami
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Donghyun Hong
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Nicholas Stevers
- Department of Neurological Surgery, University of California, San Francisco, California, USA
| | - Carter J Barger
- Department of Neurological Surgery, University of California, San Francisco, California, USA
| | - Marina Radoul
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Chibo Hong
- Department of Neurological Surgery, University of California, San Francisco, California, USA
| | - Lee Chen
- Department of Neurological Surgery, University of California, San Francisco, California, USA
| | - Yaewon Kim
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Georgios Batsios
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Anne Marie Gillespie
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Russel O Pieper
- Department of Neurological Surgery, University of California, San Francisco, California, USA
| | - Joseph F Costello
- Department of Neurological Surgery, University of California, San Francisco, California, USA
| | - Pavithra Viswanath
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Sabrina M Ronen
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
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36
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Hu JY, Kim Y, Autry AW, Frost MM, Bok RA, Villanueva-Meyer JE, Xu D, Li Y, Larson PEZ, Vigneron DB, Gordon JW. Kinetic analysis of multi-resolution hyperpolarized 13 C human brain MRI to study cerebral metabolism. Magn Reson Med 2022; 88:2190-2197. [PMID: 35754148 PMCID: PMC9420752 DOI: 10.1002/mrm.29354] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 04/15/2022] [Accepted: 05/23/2022] [Indexed: 11/10/2022]
Abstract
PURPOSE To investigate multi-resolution hyperpolarized (HP) 13 C pyruvate MRI for measuring kinetic conversion rates in the human brain. METHODS HP [1-13 C]pyruvate MRI was acquired in 6 subjects with a multi-resolution EPI sequence at 7.5 × 7.5 mm2 resolution for pyruvate and 15 × 15 mm2 resolution for lactate and bicarbonate. With the same lactate data, 2 quantitative maps of pyruvate-to-lactate conversion (kPL ) maps were generated: 1 using 7.5 × 7.5 mm2 resolution pyruvate data and the other using synthetic 15 × 15 mm2 resolution pyruvate data to simulate a standard constant resolution acquisition. To examine local kPL values, 4 voxels were manually selected in each study representing brain tissue near arteries, brain tissue near veins, white matter, and gray matter. RESULTS High resolution 7.5 × 7.5 mm2 pyruvate images increased the spatial delineation of brain structures and decreased partial volume effects compared to coarser resolution 15 × 15 mm2 pyruvate images. Voxels near arteries, veins and in white matter exhibited higher calculated kPL for multi-resolution images. CONCLUSION Acquiring HP 13 C pyruvate metabolic data with a multi-resolution approach minimized partial volume effects from vascular pyruvate signals while maintaining the SNR of downstream metabolites. Higher resolution pyruvate images for kinetic fitting resulted in increased kinetic rate values, particularly around the superior sagittal sinus and cerebral arteries, by reducing extracellular pyruvate signal contributions from adjacent blood vessels. This HP 13 C study showed that acquiring pyruvate with finer resolution improved the quantification of kinetic rates throughout the human brain.
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Affiliation(s)
- Jasmine Y Hu
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, California, USA
| | - Yaewon Kim
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Adam W Autry
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Mary M Frost
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Robert A Bok
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Javier E Villanueva-Meyer
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, California, USA
| | - Yan Li
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, 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, University of California, San Francisco and University of California, Berkeley, California, USA
| | - Daniel B Vigneron
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, California, USA
| | - Jeremy W Gordon
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
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Healicon R, Rooney CHE, Ball V, Shinozaki A, Miller JJ, Smart S, Radford‐Smith D, Anthony D, Tyler DJ, Grist JT. Assessing the effect of anesthetic gas mixtures on hyperpolarized 13 C pyruvate metabolism in the rat brain. Magn Reson Med 2022; 88:1324-1332. [PMID: 35468245 PMCID: PMC9325476 DOI: 10.1002/mrm.29274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 03/11/2022] [Accepted: 03/31/2022] [Indexed: 11/09/2022]
Abstract
PURPOSE To determine the effect of altering anesthetic oxygen protocols on measurements of cerebral perfusion and metabolism in the rodent brain. METHODS Seven rats were anesthetized and underwent serial MRI scans with hyperpolarized [1-13 C]pyruvate and perfusion weighted imaging. The anesthetic carrier gas protocol used varied from 100:0% to 90:10% to 60:40% O2 :N2 O. Spectra were quantified with AMARES and perfusion imaging was processed using model-free deconvolution. A 1-way ANOVA was used to compare results across groups, with pairwise t tests performed with correction for multiple comparisons. Spearman's correlation analysis was performed between O2 % and MR measurements. RESULTS There was a significant increase in bicarbonate:total 13 C carbon and bicarbonate:13 C pyruvate when moving between 100:0 to 90:10 and 100:0 to 60:40 O2 :N2 O % (0.02 ± 0.01 vs. 0.019 ± 0.005 and 0.02 ± 0.01 vs. 0.05 ± 0.02, respectively) and (0.04 ± 0.01 vs. 0.03 ± 0.01 and 0.04 ± 0.01 vs. 0.08 ± 0.02, respectively). There was a significant difference in 13 C pyruvate time to peak when moving between 100:0 to 90:10 and 100:0 to 60:40 O2 :N2 O % (13 ± 2 vs. 10 ± 1 and 13 ± 2 vs. 7.5 ± 0.5 s, respectively) as well as significant differences in cerebral blood flow (CBF) between gas protocols. Significant correlations between bicarbonate:13 C pyruvate and gas protocol (ρ = -0.47), mean transit time and gas protocol (ρ = 0.41) and 13 C pyruvate time-to-peak and cerebral blood flow (ρ = -0.54) were also observed. CONCLUSIONS These results demonstrate that the detection and quantification of cerebral metabolism and perfusion is dependent on the oxygen protocol used in the anesthetized rodent brain.
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Affiliation(s)
- Richard Healicon
- Department of Physiology, Anatomy, and GeneticsUniversity of OxfordOxfordUnited Kingdom
| | - Catriona H. E. Rooney
- Department of Physiology, Anatomy, and GeneticsUniversity of OxfordOxfordUnited Kingdom
| | - Vicky Ball
- Department of Physiology, Anatomy, and GeneticsUniversity of OxfordOxfordUnited Kingdom
| | - Ayaka Shinozaki
- Department of Physiology, Anatomy, and GeneticsUniversity of OxfordOxfordUnited Kingdom
- Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Jack J. Miller
- Department of Physiology, Anatomy, and GeneticsUniversity of OxfordOxfordUnited Kingdom
- Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
- Clarendon Laboratory, Department of PhysicsUniversity of OxfordOxfordUnited Kingdom
- The PET Centre and The MR Centre, Clinical MedicineAarhus University and Aarhus University HospitalAarhusDenmark
| | - Sean Smart
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUnited Kingdom
| | | | - Daniel Anthony
- Department of PharmacologyUniversity of OxfordOxfordUnited Kingdom
| | - Damian J. Tyler
- Department of Physiology, Anatomy, and GeneticsUniversity of OxfordOxfordUnited Kingdom
- The PET Centre and The MR Centre, Clinical MedicineAarhus University and Aarhus University HospitalAarhusDenmark
| | - James T. Grist
- Department of Physiology, Anatomy, and GeneticsUniversity of OxfordOxfordUnited Kingdom
- The PET Centre and The MR Centre, Clinical MedicineAarhus University and Aarhus University HospitalAarhusDenmark
- Department of RadiologyOxford University HospitalsOxfordUnited Kingdom
- Institute of Cancer and Genomic SciencesUniversity of BirminghamBirminghamUnited Kingdom
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38
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Mamone S, Jagtap AP, Korchak S, Ding Y, Sternkopf S, Glöggler S. A Field‐Independent Method for the Rapid Generation of Hyperpolarized [1‐
13
C]Pyruvate in Clean Water Solutions for Biomedical Applications. Angew Chem Int Ed Engl 2022; 61:e202206298. [PMID: 35723041 PMCID: PMC9543135 DOI: 10.1002/anie.202206298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Indexed: 11/08/2022]
Affiliation(s)
- Salvatore Mamone
- Max Planck Institute for Multidisciplinary Sciences NMR Signal Enhancement Group Am Fassberg 11 37077 Göttingen Germany
- Center for Biostructural Imaging of Neurodegeneration of UMG NMR Signal Enhancement Group Von-Siebold-Straße 3 A 37075 Göttingen Germany
| | - Anil P. Jagtap
- Max Planck Institute for Multidisciplinary Sciences NMR Signal Enhancement Group Am Fassberg 11 37077 Göttingen Germany
- Center for Biostructural Imaging of Neurodegeneration of UMG NMR Signal Enhancement Group Von-Siebold-Straße 3 A 37075 Göttingen Germany
| | - Sergey Korchak
- Max Planck Institute for Multidisciplinary Sciences NMR Signal Enhancement Group Am Fassberg 11 37077 Göttingen Germany
- Center for Biostructural Imaging of Neurodegeneration of UMG NMR Signal Enhancement Group Von-Siebold-Straße 3 A 37075 Göttingen Germany
| | - Yonghong Ding
- Max Planck Institute for Multidisciplinary Sciences NMR Signal Enhancement Group Am Fassberg 11 37077 Göttingen Germany
- Center for Biostructural Imaging of Neurodegeneration of UMG NMR Signal Enhancement Group Von-Siebold-Straße 3 A 37075 Göttingen Germany
| | - Sonja Sternkopf
- Max Planck Institute for Multidisciplinary Sciences NMR Signal Enhancement Group Am Fassberg 11 37077 Göttingen Germany
- Center for Biostructural Imaging of Neurodegeneration of UMG NMR Signal Enhancement Group Von-Siebold-Straße 3 A 37075 Göttingen Germany
| | - Stefan Glöggler
- Max Planck Institute for Multidisciplinary Sciences NMR Signal Enhancement Group Am Fassberg 11 37077 Göttingen Germany
- Center for Biostructural Imaging of Neurodegeneration of UMG NMR Signal Enhancement Group Von-Siebold-Straße 3 A 37075 Göttingen Germany
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Wei Y, Yang C, Jiang H, Li Q, Che F, Wan S, Yao S, Gao F, Zhang T, Wang J, Song B. Multi-nuclear magnetic resonance spectroscopy: state of the art and future directions. Insights Imaging 2022; 13:135. [PMID: 35976510 PMCID: PMC9382599 DOI: 10.1186/s13244-022-01262-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 07/04/2022] [Indexed: 12/16/2022] Open
Abstract
With the development of heteronuclear fluorine, sodium, phosphorus, and other probes and imaging technologies as well as the optimization of magnetic resonance imaging (MRI) equipment and sequences, multi-nuclear magnetic resonance (multi-NMR) has enabled localize molecular activities in vivo that are central to a variety of diseases, including cardiovascular disease, neurodegenerative pathologies, metabolic diseases, kidney, and tumor, to shift from the traditional morphological imaging to the molecular imaging, precision diagnosis, and treatment mode. However, due to the low natural abundance and low gyromagnetic ratios, the clinical application of multi-NMR has been hampered. Several techniques have been developed to amplify the NMR sensitivity such as the dynamic nuclear polarization, spin-exchange optical pumping, and brute-force polarization. Meanwhile, a wide range of nuclei can be hyperpolarized, such as 2H, 3He, 13C, 15 N, 31P, and 129Xe. The signal can be increased and allows real-time observation of biological perfusion, metabolite transport, and metabolic reactions in vivo, overcoming the disadvantages of conventional magnetic resonance of low sensitivity. HP-NMR imaging of different nuclear substrates provides a unique opportunity and invention to map the metabolic changes in various organs without invasive procedures. This review aims to focus on the recent applications of multi-NMR technology not only in a range of preliminary animal experiments but also in various disease spectrum in human. Furthermore, we will discuss the future challenges and opportunities of this multi-NMR from a clinical perspective, in the hope of truly bridging the gap between cutting-edge molecular biology and clinical applications.
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Affiliation(s)
- Yi Wei
- Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, People's Republic of China
| | - Caiwei Yang
- Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, People's Republic of China
| | - Hanyu Jiang
- Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, People's Republic of China
| | - Qian Li
- Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, People's Republic of China
| | - Feng Che
- Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, People's Republic of China
| | - Shang Wan
- Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, People's Republic of China
| | - Shan Yao
- Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, People's Republic of China
| | - Feifei Gao
- Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, People's Republic of China
| | - Tong Zhang
- Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, People's Republic of China
| | - Jiazheng Wang
- Clinical & Technical Support, Philips Healthcare, Beijing, China
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, People's Republic of China. .,Department of Radiology, Sanya People's Hospital, Sanya, China.
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40
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Vaziri S, Autry AW, Lafontaine M, Kim Y, Gordon JW, Chen HY, Hu JY, Lupo JM, Chang SM, Clarke JL, Villanueva-Meyer JE, Bush NAO, Xu D, Larson PEZ, Vigneron DB, Li Y. Assessment of higher-order singular value decomposition denoising methods on dynamic hyperpolarized [1- 13C]pyruvate MRI data from patients with glioma. Neuroimage Clin 2022; 36:103155. [PMID: 36007439 PMCID: PMC9421383 DOI: 10.1016/j.nicl.2022.103155] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 08/12/2022] [Accepted: 08/13/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Real-time metabolic conversion of intravenously-injected hyperpolarized [1-13C]pyruvate to [1-13C]lactate and [13C]bicarbonate in the brain can be measured using dynamic hyperpolarized carbon-13 (HP-13C) MRI. However, voxel-wise evaluation of metabolism in patients with glioma is challenged by the limited signal-to-noise ratio (SNR) of downstream 13C metabolites, especially within lesions. The purpose of this study was to evaluate the ability of higher-order singular value decomposition (HOSVD) denoising methods to enhance dynamic HP [1-13C]pyruvate MRI data acquired from patients with glioma. METHODS Dynamic HP-13C MRI were acquired from 14 patients with glioma. The effects of two HOSVD denoising techniques, tensor rank truncation-image enhancement (TRI) and global-local HOSVD (GL-HOSVD), on the SNR and kinetic modeling were analyzed in [1-13C]lactate data with simulated noise that matched the levels of [13C]bicarbonate signals. Both methods were then evaluated in patient data based on their ability to improve [1-13C]pyruvate, [1-13C]lactate and [13C]bicarbonate SNR. The effects of denoising on voxel-wise kinetic modeling of kPL and kPB was also evaluated. The number of voxels with reliable kinetic modeling of pyruvate-to-lactate (kPL) and pyruvate-to-bicarbonate (kPB) conversion rates within regions of interest (ROIs) before and after denoising was then compared. RESULTS Both denoising methods improved metabolite SNR and regional signal coverage. In patient data, the average increase in peak dynamic metabolite SNR was 2-fold using TRI and 4-5 folds using GL-HOSVD denoising compared to acquired data. Denoising reduced kPL modeling errors from a native average of 23% to 16% (TRI) and 15% (GL-HOSVD); and kPB error from 42% to 34% (TRI) and 37% (GL-HOSVD) (values were averaged voxelwise over all datasets). In contrast-enhancing lesions, the average number of voxels demonstrating within-tolerance kPL modeling error relative to the total voxels increased from 48% in the original data to 84% (TRI) and 90% (GL-HOSVD), while the number of voxels showing within-tolerance kPB modeling error increased from 0% to 15% (TRI) and 8% (GL-HOSVD). CONCLUSION Post-processing denoising methods significantly improved the SNR of dynamic HP-13C imaging data, resulting in a greater number of voxels satisfying minimum SNR criteria and maximum kinetic modeling errors in tumor lesions. This enhancement can aid in the voxel-wise analysis of HP-13C data and thereby improve monitoring of metabolic changes in patients with glioma following treatment.
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Affiliation(s)
- Sana Vaziri
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States
| | - Adam W Autry
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States
| | - Marisa Lafontaine
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States
| | - Yaewon Kim
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States
| | - Jeremy W Gordon
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States
| | - Hsin-Yu Chen
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States
| | - Jasmine Y Hu
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States
| | - Janine M Lupo
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States
| | - Susan M Chang
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States
| | - Jennifer L Clarke
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States
| | - Javier E Villanueva-Meyer
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States
| | - Nancy Ann Oberheim Bush
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States
| | - Peder E Z Larson
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States
| | - Daniel B Vigneron
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States
| | - Yan Li
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States.
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Kaggie JD, Khan AS, Matys T, Schulte RF, Locke MJ, Grimmer A, Frary A, Menih IH, Latimer E, Graves MJ, McLean MA, Gallagher FA. Deuterium metabolic imaging and hyperpolarized 13C-MRI of the normal human brain at clinical field strength reveals differential cerebral metabolism. Neuroimage 2022; 257:119284. [PMID: 35533826 DOI: 10.1016/j.neuroimage.2022.119284] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 05/02/2022] [Accepted: 05/04/2022] [Indexed: 12/01/2022] Open
Abstract
Deuterium metabolic imaging (DMI) and hyperpolarized 13C-pyruvate MRI (13C-HPMRI) are two emerging methods for non-invasive and non-ionizing imaging of tissue metabolism. Imaging cerebral metabolism has potential applications in cancer, neurodegeneration, multiple sclerosis, traumatic brain injury, stroke, and inborn errors of metabolism. Here we directly compare these two non-invasive methods at 3 T for the first time in humans and show how they simultaneously probe both oxidative and non-oxidative metabolism. DMI was undertaken 1-2 h after oral administration of [6,6'-2H2]glucose, and 13C-MRI was performed immediately following intravenous injection of hyperpolarized [1-13C]pyruvate in ten and nine normal volunteers within each arm respectively. DMI was used to generate maps of deuterium-labelled water, glucose, lactate, and glutamate/glutamine (Glx) and the spectral separation demonstrated that DMI is feasible at 3 T. 13C-HPMRI generated maps of hyperpolarized carbon-13 labelled pyruvate, lactate, and bicarbonate. The ratio of 13C-lactate/13C-bicarbonate (mean 3.7 ± 1.2) acquired with 13C-HPMRI was higher than the equivalent 2H-lactate/2H-Glx ratio (mean 0.18 ± 0.09) acquired using DMI. These differences can be explained by the route of administering each probe, the timing of imaging after ingestion or injection, as well as the biological differences in cerebral uptake and cellular physiology between the two molecules. The results demonstrate these two metabolic imaging methods provide different yet complementary readouts of oxidative and reductive metabolism within a clinically feasible timescale. Furthermore, as DMI was undertaken at a clinical field strength within a ten-minute scan time, it demonstrates its potential as a routine clinical tool in the future.
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Affiliation(s)
- Joshua D Kaggie
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.
| | - Alixander S Khan
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
| | - Tomasz Matys
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK
| | | | - Matthew J Locke
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
| | - Ashley Grimmer
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
| | - Amy Frary
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
| | - Ines Horvat Menih
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
| | - Elizabeth Latimer
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
| | - Martin J Graves
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK
| | - Mary A McLean
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge UK
| | - Ferdia A Gallagher
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
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42
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Zaccagna F, McLean MA, Grist JT, Kaggie J, Mair R, Riemer F, Woitek R, Gill AB, Deen S, Daniels CJ, Ursprung S, Schulte RF, Allinson K, Chhabra A, Laurent MC, Locke M, Frary A, Hilborne S, Patterson I, Carmo BD, Slough R, Wilkinson I, Basu B, Wason J, Gillard JH, Matys T, Watts C, Price SJ, Santarius T, Graves MJ, Jefferies S, Brindle KM, Gallagher FA. Imaging Glioblastoma Metabolism by Using Hyperpolarized [1- 13C]Pyruvate Demonstrates Heterogeneity in Lactate Labeling: A Proof of Principle Study. Radiol Imaging Cancer 2022; 4:e210076. [PMID: 35838532 PMCID: PMC9360994 DOI: 10.1148/rycan.210076] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 04/27/2022] [Accepted: 05/19/2022] [Indexed: 01/20/2023]
Abstract
Purpose To evaluate glioblastoma (GBM) metabolism by using hyperpolarized carbon 13 (13C) MRI to monitor the exchange of the hyperpolarized 13C label between injected [1-13C]pyruvate and tumor lactate and bicarbonate. Materials and Methods In this prospective study, seven treatment-naive patients (age [mean ± SD], 60 years ± 11; five men) with GBM were imaged at 3 T by using a dual-tuned 13C-hydrogen 1 head coil. Hyperpolarized [1-13C]pyruvate was injected, and signal was acquired by using a dynamic MRI spiral sequence. Metabolism was assessed within the tumor, in the normal-appearing brain parenchyma (NABP), and in healthy volunteers by using paired or unpaired t tests and a Wilcoxon signed rank test. The Spearman ρ correlation coefficient was used to correlate metabolite labeling with lactate dehydrogenase A (LDH-A) expression and some immunohistochemical markers. The Benjamini-Hochberg procedure was used to correct for multiple comparisons. Results The bicarbonate-to-pyruvate (BP) ratio was lower in the tumor than in the contralateral NABP (P < .01). The tumor lactate-to-pyruvate (LP) ratio was not different from that in the NABP (P = .38). The LP and BP ratios in the NABP were higher than those observed previously in healthy volunteers (P < .05). Tumor lactate and bicarbonate signal intensities were strongly correlated with the pyruvate signal intensity (ρ = 0.92, P < .001, and ρ = 0.66, P < .001, respectively), and the LP ratio was weakly correlated with LDH-A expression in biopsy samples (ρ = 0.43, P = .04). Conclusion Hyperpolarized 13C MRI demonstrated variation in lactate labeling in GBM, both within and between tumors. In contrast, bicarbonate labeling was consistently lower in tumors than in the surrounding NABP. Keywords: Hyperpolarized 13C MRI, Glioblastoma, Metabolism, Cancer, MRI, Neuro-oncology Supplemental material is available for this article. Published under a CC BY 4.0 license.
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Affiliation(s)
- Fulvio Zaccagna
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Mary A. McLean
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - James T. Grist
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Joshua Kaggie
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Richard Mair
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Frank Riemer
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Ramona Woitek
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Andrew B. Gill
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Surrin Deen
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Charlie J. Daniels
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Stephan Ursprung
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Rolf F. Schulte
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Kieren Allinson
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Anita Chhabra
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Marie-Christine Laurent
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Matthew Locke
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Amy Frary
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Sarah Hilborne
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Ilse Patterson
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Bruno D. Carmo
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Rhys Slough
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Ian Wilkinson
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Bristi Basu
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - James Wason
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Jonathan H. Gillard
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Tomasz Matys
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Colin Watts
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Stephen J. Price
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Thomas Santarius
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Martin J. Graves
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Sarah Jefferies
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Kevin M. Brindle
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
| | - Ferdia A. Gallagher
- From the Departments of Radiology (F.Z., J.T.G., J.K., F.R., R.W.,
A.B.G., S.D., C.J.D., S.U., M.C.L., M.L., A.F., S.H., J.H.G., T.M., M.J.G.,
F.A.G.), Clinical Neurosciences (R.M., C.W., S.J.P., T.S.), and Medicine (I.W.),
University of Cambridge School of Clinical Medicine, Cambridge, England; Cancer
Research UK Cambridge Institute (M.A.M., S.U., K.M.B.), Medical Research Council
Biostatistics Unit (J.W.), and Department of Biochemistry (K.M.B.), University
of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, England;
Department of Biomedical Imaging and Image-guided Therapy, Medical University of
Vienna, Vienna, Austria (R.W.); GE Healthcare, Munich, Germany (R.F.S.);
Department of Pathology (K.A.), Cambridge Cancer Trials Centre (A.C.),
Department of Radiology (I.P., B.D.C., R.S.), and Department of Oncology (B.B.,
S.J.), Cambridge University Hospitals National Health Service Foundation Trust,
Cambridge, England; and Population Health Sciences Institute, Newcastle
University, Newcastle upon Tyne, England (J.W.)
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43
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Mamone S, Jagtap AP, Korchak S, Ding Y, Sternkopf S, Glöggler S. A Field‐Independent Method for the Rapid Generation of Hyperpolarized [1‐13C]Pyruvate in Clean Water Solutions for Biomedical Applications. Angew Chem Int Ed Engl 2022. [DOI: 10.1002/ange.202206298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Salvatore Mamone
- Max Planck Institute for Multidisciplinary Sciences - Fassberg Campus: Max-Planck-Institut fur Multidisziplinare Naturwissenschaften NMR Signal Enhancement GERMANY
| | - Anil P Jagtap
- Max Planck Institute for Multidisciplinary Sciences: Max-Planck-Institut fur Multidisziplinare Naturwissenschaften NMR Signal Enhancement GERMANY
| | - Sergey Korchak
- Max Planck Institute for Multidisciplinary Sciences: Max-Planck-Institut fur Multidisziplinare Naturwissenschaften NMR Signal Enhancement GERMANY
| | - Yonghong Ding
- Max Planck Institute for Multidisciplinary Sciences: Max-Planck-Institut fur Multidisziplinare Naturwissenschaften NMR Signal Enhancement GERMANY
| | - Sonja Sternkopf
- Max Planck Institute for Multidisciplinary Sciences: Max-Planck-Institut fur Multidisziplinare Naturwissenschaften NMR Signal Enhancement GERMANY
| | - Stefan Glöggler
- Max-Planck-Institute for Biophysical Chemistry NMR Signal Enhancement Group Am Fassberg 11 37077 Göttingen GERMANY
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Hyperpolarized [5- 13C,4,4- 2H 2,5- 15N]-L-glutamine provides a means of annotating in vivo metabolic utilization of glutamine. Proc Natl Acad Sci U S A 2022; 119:e2120595119. [PMID: 35512101 PMCID: PMC9172133 DOI: 10.1073/pnas.2120595119] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Glutamine is the most abundant amino acid in human plasma, although it is challenging to determine glutamine’s metabolic fate noninvasively. In this work, we utilize established chemical methods to develop a platform for imaging glutamine metabolism using hyperpolarized magnetic resonance imaging. Using this strategy, we are able to spatially measure glutaminolysis in vivo as well as develop a biomarker for the inhibition of glutaminase. Combining this biomarker with isotope tracing metabolomics connects this inhibition to reduced glutamine contribution to the tricarboxylic acid cycle. This provides an approach for future imaging of glutamine metabolism in humans. Glutamine is consumed by rapidly proliferating cells and can provide the carbon and nitrogen required for growth through various metabolic pathways. However, delineating the metabolic fate of glutamine is challenging to interrogate in vivo. Hyperpolarized magnetic resonance, by providing high transient nuclear magnetic resonance signals, provides an approach to measure fast biochemical processes in vivo. Aminohydrolysis of glutamine at carbon-5 plays an important role in providing nitrogen and carbon for multiple pathways. Here, we provide a synthetic strategy for isotope-enriched forms of glutamine that prolongs glutamine-C5 relaxation times and thereby reveals in vivo reactions involving carbon-5. We investigate multiple enrichment states, finding [5-13C,4,4-2H2,5-15N]-L-glutamine to be optimal for hyperpolarized measurement of glutamine conversion to glutamate in vivo. Leveraging this compound, we explore pancreatic cancer glutamine metabolism in vivo. Taken together, this work provides a means for studying glutamine metabolic flux in vivo and demonstrates on-target effects of metabolic enzyme inhibitors.
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Andreou C, Weissleder R, Kircher MF. Multiplexed imaging in oncology. Nat Biomed Eng 2022; 6:527-540. [PMID: 35624151 DOI: 10.1038/s41551-022-00891-5] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 09/06/2021] [Indexed: 01/24/2023]
Abstract
In oncology, technologies for clinical molecular imaging are used to diagnose patients, establish the efficacy of treatments and monitor the recurrence of disease. Multiplexed methods increase the number of disease-specific biomarkers that can be detected simultaneously, such as the overexpression of oncogenic proteins, aberrant metabolite uptake and anomalous blood perfusion. The quantitative localization of each biomarker could considerably increase the specificity and the accuracy of technologies for clinical molecular imaging to facilitate granular diagnoses, patient stratification and earlier assessments of the responses to administered therapeutics. In this Review, we discuss established techniques for multiplexed imaging and the most promising emerging multiplexing technologies applied to the imaging of isolated tissues and cells and to non-invasive whole-body imaging. We also highlight advances in radiology that have been made possible by multiplexed imaging.
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Affiliation(s)
- Chrysafis Andreou
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Center for Molecular Imaging and Nanotechnology (CMINT), Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus
| | - Ralph Weissleder
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. .,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. .,Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
| | - Moritz F Kircher
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA.,Department of Imaging, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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46
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Thomas AM, Barkhof F, Bulte JWM. Opportunities for Molecular Imaging in Multiple Sclerosis Management: Linking Probe to Treatment. Radiology 2022; 303:486-497. [PMID: 35471110 PMCID: PMC9131169 DOI: 10.1148/radiol.211252] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Imaging has been a critical component of multiple sclerosis (MS) management for nearly 40 years. The visual information derived from structural MRI, that is, signs of blood-brain barrier disruption, inflammation and demyelination, and brain and spinal cord atrophy, are the primary metrics used to evaluate therapeutic efficacy in MS. The development of targeted imaging probes has expanded our ability to evaluate and monitor MS and its therapies at the molecular level. Most molecular imaging probes evaluated for MS applications are small molecules initially developed for PET, nearly half of which are derived from U.S. Food and Drug Administration-approved drugs and those currently undergoing clinical trials. Superparamagnetic and fluorinated particles have been used for tracking circulating immune cells (in situ labeling) and immunosuppressive or remyelinating therapeutic stem cells (ex vivo labeling) clinically using proton (hydrogen 1 [1H]) and preclinically using fluorine 19 MRI. Translocator protein PET and 1H MR spectroscopy have been demonstrated to complement imaging metrics from structural (gadolinium-enhanced) MRI in nine and six trials for MS disease-modifying therapies, respectively. Still, despite multiple demonstrations of the utility of molecular imaging probes to evaluate the target location and to elucidate the mechanisms of disease-modifying therapies for MS applications, their use has been sparse in both preclinical and clinical settings.
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Affiliation(s)
- Aline M Thomas
- From the Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, and the Cellular Imaging Section and Vascular Biology Program, Institute for Cell Engineering, the Johns Hopkins University School of Medicine, 733 N Broadway, Room 659, Baltimore, MD 21205 (A.M.T., J.W.M.B.); and Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands (F.B.)
| | - Frederik Barkhof
- From the Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, and the Cellular Imaging Section and Vascular Biology Program, Institute for Cell Engineering, the Johns Hopkins University School of Medicine, 733 N Broadway, Room 659, Baltimore, MD 21205 (A.M.T., J.W.M.B.); and Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands (F.B.)
| | - Jeff W M Bulte
- From the Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, and the Cellular Imaging Section and Vascular Biology Program, Institute for Cell Engineering, the Johns Hopkins University School of Medicine, 733 N Broadway, Room 659, Baltimore, MD 21205 (A.M.T., J.W.M.B.); and Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands (F.B.)
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47
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Tee SS, Kim N, Cullen Q, Eskandari R, Mamakhanyan A, Srouji RM, Chirayil R, Jeong S, Shakiba M, Kastenhuber ER, Chen S, Sigel C, Lowe SW, Jarnagin WR, Thompson CB, Schietinger A, Keshari KR. Ketohexokinase-mediated fructose metabolism is lost in hepatocellular carcinoma and can be leveraged for metabolic imaging. SCIENCE ADVANCES 2022; 8:eabm7985. [PMID: 35385296 PMCID: PMC8985914 DOI: 10.1126/sciadv.abm7985] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 02/15/2022] [Indexed: 06/14/2023]
Abstract
The ability to break down fructose is dependent on ketohexokinase (KHK) that phosphorylates fructose to fructose-1-phosphate (F1P). We show that KHK expression is tightly controlled and limited to a small number of organs and is down-regulated in liver and intestinal cancer cells. Loss of fructose metabolism is also apparent in hepatocellular adenoma and carcinoma (HCC) patient samples. KHK overexpression in liver cancer cells results in decreased fructose flux through glycolysis. We then developed a strategy to detect this metabolic switch in vivo using hyperpolarized magnetic resonance spectroscopy. Uniformly deuterating [2-13C]-fructose and dissolving in D2O increased its spin-lattice relaxation time (T1) fivefold, enabling detection of F1P and its loss in models of HCC. In summary, we posit that in the liver, fructolysis to F1P is lost in the development of cancer and can be used as a biomarker of tissue function in the clinic using metabolic imaging.
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Affiliation(s)
- Sui Seng Tee
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nathaniel Kim
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Quinlan Cullen
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Roozbeh Eskandari
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Arsen Mamakhanyan
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rami M. Srouji
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rachel Chirayil
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sangmoo Jeong
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mojdeh Shakiba
- Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Edward R. Kastenhuber
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Shuibing Chen
- Weill Cornell Medical College, New York, NY, USA
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Carlie Sigel
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Scott W. Lowe
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - William R. Jarnagin
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Craig B. Thompson
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrea Schietinger
- Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kayvan R. Keshari
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
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Initial Experience on Hyperpolarized [1-13C]Pyruvate MRI Multicenter Reproducibility—Are Multicenter Trials Feasible? Tomography 2022; 8:585-595. [PMID: 35314625 PMCID: PMC8938827 DOI: 10.3390/tomography8020048] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 02/17/2022] [Accepted: 02/18/2022] [Indexed: 12/31/2022] Open
Abstract
Background: Magnetic resonance imaging (MRI) with hyperpolarized [1-13C]pyruvate allows real-time and pathway specific clinical detection of otherwise unimageable in vivo metabolism. However, the comparability between sites and protocols is unknown. Here, we provide initial experiences on the agreement of hyperpolarized MRI between sites and protocols by repeated imaging of same healthy volunteers in Europe and the US. Methods: Three healthy volunteers traveled for repeated multicenter brain MRI exams with hyperpolarized [1-13C]pyruvate within one year. First, multisite agreement was assessed with the same echo-planar imaging protocol at both sites. Then, this was compared to a variable resolution echo-planar imaging protocol. In total, 12 examinations were performed. Common metrics of 13C-pyruvate to 13C-lactate conversion were calculated, including the kPL, a model-based kinetic rate constant, and its model-free equivalents. Repeatability was evaluated with intraclass correlation coefficients (ICC) for absolute agreement computed using two-way random effects models. Results: The mean kPL across all examinations in the multisite comparison was 0.024 ± 0.0016 s−1. The ICC of the kPL was 0.83 (p = 0.14) between sites and 0.7 (p = 0.09) between examinations of the same volunteer at any of the two sites. For the model-free metrics, the lactate Z-score had similar site-to-site ICC, while it was considerably lower for the lactate-to-pyruvate ratio. Conclusions: Estimation of metabolic conversion from hyperpolarized [1-13C]pyruvate to lactate using model-based metrics such as kPL suggests close agreement between sites and examinations in volunteers. Our initial results support harmonization of protocols, support multicenter studies, and inform their design.
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Ma J, Pinho MC, Harrison CE, Chen J, Sun C, Hackett EP, Liticker J, Ratnakar J, Reed GD, Chen AP, Sherry AD, Malloy CR, Wright SM, Madden CJ, Park JM. Dynamic 13 C MR spectroscopy as an alternative to imaging for assessing cerebral metabolism using hyperpolarized pyruvate in humans. Magn Reson Med 2022; 87:1136-1149. [PMID: 34687086 PMCID: PMC8776582 DOI: 10.1002/mrm.29049] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 09/01/2021] [Accepted: 09/29/2021] [Indexed: 11/10/2022]
Abstract
PURPOSE This study is to investigate time-resolved 13 C MR spectroscopy (MRS) as an alternative to imaging for assessing pyruvate metabolism using hyperpolarized (HP) [1-13 C]pyruvate in the human brain. METHODS Time-resolved 13 C spectra were acquired from four axial brain slices of healthy human participants (n = 4) after a bolus injection of HP [1-13 C]pyruvate. 13 C MRS with low flip-angle excitations and a multichannel 13 C/1 H dual-frequency radiofrequency (RF) coil were exploited for reliable and unperturbed assessment of HP pyruvate metabolism. Slice-wise areas under the curve (AUCs) of 13 C-metabolites were measured and kinetic analysis was performed to estimate the production rates of lactate and HCO3- . Linear regression analysis between brain volumes and HP signals was performed. Region-focused pyruvate metabolism was estimated using coil-wise 13 C reconstruction. Reproducibility of HP pyruvate exams was presented by performing two consecutive injections with a 45-minutes interval. RESULTS [1-13 C]Lactate relative to the total 13 C signal (tC) was 0.21-0.24 in all slices. [13 C] HCO3- /tC was 0.065-0.091. Apparent conversion rate constants from pyruvate to lactate and HCO3- were calculated as 0.014-0.018 s-1 and 0.0043-0.0056 s-1 , respectively. Pyruvate/tC and lactate/tC were in moderate linear relationships with fractional gray matter volume within each slice. White matter presented poor linear regression fit with HP signals, and moderate correlations of the fractional cerebrospinal fluid volume with pyruvate/tC and lactate/tC were measured. Measured HP signals were comparable between two consecutive exams with HP [1-13 C]pyruvate. CONCLUSIONS Dynamic MRS in combination with multichannel RF coils is an affordable and reliable alternative to imaging methods in investigating cerebral metabolism using HP [1-13 C]pyruvate.
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Affiliation(s)
- Junjie Ma
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Marco C. Pinho
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA,Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Crystal E. Harrison
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jun Chen
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Chenhao Sun
- Department of Electrical and Computer Engineering, Texas A & M, College Station, TX, USA
| | - Edward P. Hackett
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jeff Liticker
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - James Ratnakar
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | | | - A. Dean Sherry
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA,Department of Biochemistry and Chemical Biology, University of Texas Dallas, Richardson, TX, USA
| | - Craig R. Malloy
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA,Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA,Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Steven M. Wright
- Department of Electrical and Computer Engineering, Texas A & M, College Station, TX, USA
| | - Christopher J. Madden
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jae Mo Park
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA,Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA,Department of Electrical and Computer Engineering, University of Texas Dallas, Richardson, TX, USA,Correspondence to: Jae Mo Park, Ph.D., 5323 Harry Hines Blvd. Dallas, Texas 75390-8568, , Tel: +1-214-645-7206, Fax: +1-214-645-2744
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50
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Tomiyasu M, Harada M. In vivo Human MR Spectroscopy Using a Clinical Scanner: Development, Applications, and Future Prospects. Magn Reson Med Sci 2022; 21:235-252. [PMID: 35173095 PMCID: PMC9199975 DOI: 10.2463/mrms.rev.2021-0085] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
MR spectroscopy (MRS) is a unique and useful method for noninvasively evaluating biochemical metabolism in human organs and tissues, but its clinical dissemination has been slow and often limited to specialized institutions or hospitals with experts in MRS technology. The number of 3-T clinical MR scanners is now increasing, representing a major opportunity to promote the use of clinical MRS. In this review, we summarize the theoretical background and basic knowledge required to understand the results obtained with MRS and introduce the general consensus on the clinical utility of proton MRS in routine clinical practice. In addition, we present updates to the consensus guidelines on proton MRS published by the members of a working committee of the Japan Society of Magnetic Resonance in Medicine in 2013. Recent research into multinuclear MRS equipped in clinical MR scanners is explained with an eye toward future development. This article seeks to provide an overview of the current status of clinical MRS and to promote the understanding of when it can be useful. In the coming years, MRS-mediated biochemical evaluation is expected to become available for even routine clinical practice.
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Affiliation(s)
- Moyoko Tomiyasu
- Department of Molecular Imaging and Theranostics, National Institutes for Quantum Science and Technology.,Department of Radiology, Kanagawa Children's Medical Center
| | - Masafumi Harada
- Department of Radiology and Radiation Oncology, Graduate School of Biomedical Sciences, Tokushima University
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