1
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Frijia F, Flori A, Giovannetti G, Barison A, Menichetti L, Santarelli MF, Positano V. MRI Application and Challenges of Hyperpolarized Carbon-13 Pyruvate in Translational and Clinical Cardiovascular Studies: A Literature Review. Diagnostics (Basel) 2024; 14:1035. [PMID: 38786333 PMCID: PMC11120300 DOI: 10.3390/diagnostics14101035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 05/06/2024] [Accepted: 05/14/2024] [Indexed: 05/25/2024] Open
Abstract
Cardiovascular disease shows, or may even be caused by, changes in metabolism. Hyperpolarized magnetic resonance spectroscopy and imaging is a technique that could assess the role of different aspects of metabolism in heart disease, allowing real-time metabolic flux assessment in vivo. In this review, we introduce the main hyperpolarization techniques. Then, we summarize the use of dedicated radiofrequency 13C coils, and report a state of the art of 13C data acquisition. Finally, this review provides an overview of the pre-clinical and clinical studies on cardiac metabolism in the healthy and diseased heart. We furthermore show what advances have been made to translate this technique into the clinic in the near future and what technical challenges still remain, such as exploring other metabolic substrates.
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Affiliation(s)
- Francesca Frijia
- Bioengineering Unit, Fondazione Toscana G. Monasterio, 56124 Pisa, Italy; (A.F.); (V.P.)
| | - Alessandra Flori
- Bioengineering Unit, Fondazione Toscana G. Monasterio, 56124 Pisa, Italy; (A.F.); (V.P.)
| | - Giulio Giovannetti
- Institute of Clinical Physiology, National Research Council (CNR), 56124 Pisa, Italy; (G.G.); (L.M.); (M.F.S.)
| | - Andrea Barison
- Cardiology and Cardiovascular Medicine Unit, Fondazione Toscana G. Monasterio, 56124 Pisa, Italy;
| | - Luca Menichetti
- Institute of Clinical Physiology, National Research Council (CNR), 56124 Pisa, Italy; (G.G.); (L.M.); (M.F.S.)
| | - Maria Filomena Santarelli
- Institute of Clinical Physiology, National Research Council (CNR), 56124 Pisa, Italy; (G.G.); (L.M.); (M.F.S.)
| | - Vincenzo Positano
- Bioengineering Unit, Fondazione Toscana G. Monasterio, 56124 Pisa, Italy; (A.F.); (V.P.)
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2
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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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3
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Wartewig T, Daniels J, Schulz M, Hameister E, Joshi A, Park J, Morrish E, Venkatasubramani AV, Cernilogar FM, van Heijster FHA, Hundshammer C, Schneider H, Konstantinidis F, Gabler JV, Klement C, Kurniawan H, Law C, Lee Y, Choi S, Guitart J, Forne I, Giustinani J, Müschen M, Jain S, Weinstock DM, Rad R, Ortonne N, Schilling F, Schotta G, Imhof A, Brenner D, Choi J, Ruland J. PD-1 instructs a tumor-suppressive metabolic program that restricts glycolysis and restrains AP-1 activity in T cell lymphoma. NATURE CANCER 2023; 4:1508-1525. [PMID: 37723306 PMCID: PMC10597841 DOI: 10.1038/s43018-023-00635-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 08/15/2023] [Indexed: 09/20/2023]
Abstract
The PDCD1-encoded immune checkpoint receptor PD-1 is a key tumor suppressor in T cells that is recurrently inactivated in T cell non-Hodgkin lymphomas (T-NHLs). The highest frequencies of PDCD1 deletions are detected in advanced disease, predicting inferior prognosis. However, the tumor-suppressive mechanisms of PD-1 signaling remain unknown. Here, using tractable mouse models for T-NHL and primary patient samples, we demonstrate that PD-1 signaling suppresses T cell malignancy by restricting glycolytic energy and acetyl coenzyme A (CoA) production. In addition, PD-1 inactivation enforces ATP citrate lyase (ACLY) activity, which generates extramitochondrial acetyl-CoA for histone acetylation to enable hyperactivity of activating protein 1 (AP-1) transcription factors. Conversely, pharmacological ACLY inhibition impedes aberrant AP-1 signaling in PD-1-deficient T-NHLs and is toxic to these cancers. Our data uncover genotype-specific vulnerabilities in PDCD1-mutated T-NHL and identify PD-1 as regulator of AP-1 activity.
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Affiliation(s)
- Tim Wartewig
- TranslaTUM, Center for Translational Cancer Research, Technical University of Munich, Munich, Germany
- Institute of Clinical Chemistry and Pathobiochemistry, School of Medicine, Technical University of Munich, Munich, Germany
- Center of Molecular and Cellular Oncology, Yale School of Medicine, Yale University, New Haven, CT, USA
| | - Jay Daniels
- Department of Biochemistry and Molecular Genetics, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
- Department of Dermatology, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Miriam Schulz
- TranslaTUM, Center for Translational Cancer Research, Technical University of Munich, Munich, Germany
- Institute of Clinical Chemistry and Pathobiochemistry, School of Medicine, Technical University of Munich, Munich, Germany
| | - Erik Hameister
- TranslaTUM, Center for Translational Cancer Research, Technical University of Munich, Munich, Germany
- Institute of Clinical Chemistry and Pathobiochemistry, School of Medicine, Technical University of Munich, Munich, Germany
| | - Abhinav Joshi
- TranslaTUM, Center for Translational Cancer Research, Technical University of Munich, Munich, Germany
- Institute of Clinical Chemistry and Pathobiochemistry, School of Medicine, Technical University of Munich, Munich, Germany
| | - Joonhee Park
- Department of Biochemistry and Molecular Genetics, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
- Department of Dermatology, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Emma Morrish
- TranslaTUM, Center for Translational Cancer Research, Technical University of Munich, Munich, Germany
- Institute of Clinical Chemistry and Pathobiochemistry, School of Medicine, Technical University of Munich, Munich, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Anuroop V Venkatasubramani
- Protein Analysis Unit, Biomedical Center, Faculty of Medicine, Ludwig-Maximilians-Universität Munich, Martinsried, Germany
| | - Filippo M Cernilogar
- Department of Molecular Biology, Biomedical Center, Faculty of Medicine, Ludwig-Maximilians-Universität Munich, Martinsried, Germany
| | - Frits H A van Heijster
- Department of Nuclear Medicine, School of Medicine, Technical University of Munich, Munich, Germany
| | - Christian Hundshammer
- Department of Nuclear Medicine, School of Medicine, Technical University of Munich, Munich, Germany
| | - Heike Schneider
- Institute of Clinical Chemistry and Pathobiochemistry, School of Medicine, Technical University of Munich, Munich, Germany
| | - Filippos Konstantinidis
- TranslaTUM, Center for Translational Cancer Research, Technical University of Munich, Munich, Germany
- Institute of Clinical Chemistry and Pathobiochemistry, School of Medicine, Technical University of Munich, Munich, Germany
| | - Judith V Gabler
- TranslaTUM, Center for Translational Cancer Research, Technical University of Munich, Munich, Germany
- Institute of Clinical Chemistry and Pathobiochemistry, School of Medicine, Technical University of Munich, Munich, Germany
| | - Christine Klement
- Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technical University of Munich, Munich, Germany
| | - Henry Kurniawan
- Experimental and Molecular Immunology, Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg
- Immunology and Genetics, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Calvin Law
- Department of Biochemistry and Molecular Genetics, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
- Department of Dermatology, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Yujin Lee
- Department of Biochemistry and Molecular Genetics, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
- Department of Dermatology, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Sara Choi
- Department of Biochemistry and Molecular Genetics, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
- Department of Dermatology, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Joan Guitart
- Department of Dermatology, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Ignasi Forne
- Protein Analysis Unit, Biomedical Center, Faculty of Medicine, Ludwig-Maximilians-Universität Munich, Martinsried, Germany
| | - Jérôme Giustinani
- Institut Mondor de Recherche Biomédicale, Inserm U955, Paris-Est Créteil University, Créteil, France
| | - Markus Müschen
- Center of Molecular and Cellular Oncology, Yale School of Medicine, Yale University, New Haven, CT, USA
- Department of Immunobiology, Yale University, New Haven, CT, USA
| | - Salvia Jain
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - David M Weinstock
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Merck Research Laboratories, Boston, MA, USA
| | - Roland Rad
- Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technical University of Munich, Munich, Germany
- Department of Medicine II, School of Medicine, Technical University of Munich, Munich, Germany
| | - Nicolas Ortonne
- Institut Mondor de Recherche Biomédicale, Inserm U955, Paris-Est Créteil University, Créteil, France
- Pathology Department, AP-HP Inserm U955, Henri Mondor Hospital, Créteil, France
| | - Franz Schilling
- Department of Nuclear Medicine, School of Medicine, Technical University of Munich, Munich, Germany
| | - Gunnar Schotta
- Department of Molecular Biology, Biomedical Center, Faculty of Medicine, Ludwig-Maximilians-Universität Munich, Martinsried, Germany
| | - Axel Imhof
- Protein Analysis Unit, Biomedical Center, Faculty of Medicine, Ludwig-Maximilians-Universität Munich, Martinsried, Germany
| | - Dirk Brenner
- Experimental and Molecular Immunology, Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg
- Immunology and Genetics, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
- Odense Research Center for Anaphylaxis, Department of Dermatology and Allergy Center, Odense University Hospital, University of Southern Denmark, Odense, Denmark
| | - Jaehyuk Choi
- Department of Biochemistry and Molecular Genetics, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA.
- Department of Dermatology, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA.
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA.
- Center for Genetic Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA.
- Center for Human Immunobiology, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA.
- Center for Synthetic Biology, Northwestern University, Evanston, IL, USA.
| | - Jürgen Ruland
- TranslaTUM, Center for Translational Cancer Research, Technical University of Munich, Munich, Germany.
- Institute of Clinical Chemistry and Pathobiochemistry, School of Medicine, Technical University of Munich, Munich, Germany.
- German Cancer Consortium (DKTK), Heidelberg, Germany.
- German Center for Infection Research (DZIF), partner site Munich, Munich, Germany.
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4
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Arponen O, Wodtke P, Gallagher FA, Woitek R. Hyperpolarised 13C-MRI using 13C-pyruvate in breast cancer: A review. Eur J Radiol 2023; 167:111058. [PMID: 37666071 DOI: 10.1016/j.ejrad.2023.111058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 08/14/2023] [Accepted: 08/21/2023] [Indexed: 09/06/2023]
Abstract
Tumour metabolism can be imaged with a novel imaging technique termed hyperpolarised carbon-13 (13C)-MRI using probes, i.e., endogenously found molecules that are labeled with 13C. Hyperpolarisation of the 13C label increases the sensitivity to a level that allows dynamic imaging of the distribution and metabolism of the probes. Dynamic imaging of [1-13C]pyruvate metabolism is of particular biological interest in cancer because of the Warburg effect resulting in the intratumoural accumulation of [1-13C]pyruvate and conversion to [1-13C]lactate. Numerous preclinical studies in breast cancer and other tumours have shown that hyperpolarised 13C-pyruvate has potential for metabolic phenotyping and response assessment at earlier timepoints than the current clinical imaging techniques allow. The clinical feasibility of hyperpolarised 13C-MRI after the injection of pyruvate in patients with breast cancer has now been demonstrated, with increased 13C-label exchange between pyruvate and lactate present in higher grade tumours with associated increased expression of the monocarboxylate transporter 1 (MCT1), the transmembrane transporter mediating intracellular pyruvate uptake, and lactate dehydrogenase (LDH) as the enzyme catalysing the conversion of pyruvate to lactate. Furthermore, a study in patients with breast cancer undergoing neoadjuvant chemotherapy suggested that early changes in 13C-label exchange can distinguish between patients who reach pathologic complete response (pCR) and those who do not. This review summarises the current literature on preclinical and clinical research on hyperpolarised 13C-MRI with [1-13C]-pyruvate in breast cancer imaging.
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Affiliation(s)
- Otso Arponen
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom.
| | - Pascal Wodtke
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom; Cancer Research UK Cambridge Center, Cambridge, United Kingdom
| | - Ferdia A Gallagher
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom; Cancer Research UK Cambridge Center, Cambridge, United Kingdom
| | - Ramona Woitek
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom; Cancer Research UK Cambridge Center, Cambridge, United Kingdom; Research Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Danube Private University, Krems, Austria
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5
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Eills J, Budker D, Cavagnero S, Chekmenev EY, Elliott SJ, Jannin S, Lesage A, Matysik J, Meersmann T, Prisner T, Reimer JA, Yang H, Koptyug IV. Spin Hyperpolarization in Modern Magnetic Resonance. Chem Rev 2023; 123:1417-1551. [PMID: 36701528 PMCID: PMC9951229 DOI: 10.1021/acs.chemrev.2c00534] [Citation(s) in RCA: 45] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Magnetic resonance techniques are successfully utilized in a broad range of scientific disciplines and in various practical applications, with medical magnetic resonance imaging being the most widely known example. Currently, both fundamental and applied magnetic resonance are enjoying a major boost owing to the rapidly developing field of spin hyperpolarization. Hyperpolarization techniques are able to enhance signal intensities in magnetic resonance by several orders of magnitude, and thus to largely overcome its major disadvantage of relatively low sensitivity. This provides new impetus for existing applications of magnetic resonance and opens the gates to exciting new possibilities. In this review, we provide a unified picture of the many methods and techniques that fall under the umbrella term "hyperpolarization" but are currently seldom perceived as integral parts of the same field. Specifically, before delving into the individual techniques, we provide a detailed analysis of the underlying principles of spin hyperpolarization. We attempt to uncover and classify the origins of hyperpolarization, to establish its sources and the specific mechanisms that enable the flow of polarization from a source to the target spins. We then give a more detailed analysis of individual hyperpolarization techniques: the mechanisms by which they work, fundamental and technical requirements, characteristic applications, unresolved issues, and possible future directions. We are seeing a continuous growth of activity in the field of spin hyperpolarization, and we expect the field to flourish as new and improved hyperpolarization techniques are implemented. Some key areas for development are in prolonging polarization lifetimes, making hyperpolarization techniques more generally applicable to chemical/biological systems, reducing the technical and equipment requirements, and creating more efficient excitation and detection schemes. We hope this review will facilitate the sharing of knowledge between subfields within the broad topic of hyperpolarization, to help overcome existing challenges in magnetic resonance and enable novel applications.
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Affiliation(s)
- James Eills
- Institute
for Bioengineering of Catalonia, Barcelona
Institute of Science and Technology, 08028Barcelona, Spain,
| | - Dmitry Budker
- Johannes
Gutenberg-Universität Mainz, 55128Mainz, Germany,Helmholtz-Institut,
GSI Helmholtzzentrum für Schwerionenforschung, 55128Mainz, Germany,Department
of Physics, UC Berkeley, Berkeley, California94720, United States
| | - Silvia Cavagnero
- Department
of Chemistry, University of Wisconsin, Madison, Madison, Wisconsin53706, United States
| | - Eduard Y. Chekmenev
- Department
of Chemistry, Integrative Biosciences (IBio), Karmanos Cancer Institute
(KCI), Wayne State University, Detroit, Michigan48202, United States,Russian
Academy of Sciences, Moscow119991, Russia
| | - Stuart J. Elliott
- Molecular
Sciences Research Hub, Imperial College
London, LondonW12 0BZ, United Kingdom
| | - Sami Jannin
- Centre
de RMN à Hauts Champs de Lyon, Université
de Lyon, CNRS, ENS Lyon, Université Lyon 1, 69100Villeurbanne, France
| | - Anne Lesage
- Centre
de RMN à Hauts Champs de Lyon, Université
de Lyon, CNRS, ENS Lyon, Université Lyon 1, 69100Villeurbanne, France
| | - Jörg Matysik
- Institut
für Analytische Chemie, Universität
Leipzig, Linnéstr. 3, 04103Leipzig, Germany
| | - Thomas Meersmann
- Sir
Peter Mansfield Imaging Centre, University Park, School of Medicine, University of Nottingham, NottinghamNG7 2RD, United Kingdom
| | - Thomas Prisner
- Institute
of Physical and Theoretical Chemistry and Center of Biomolecular Magnetic
Resonance, Goethe University Frankfurt, , 60438Frankfurt
am Main, Germany
| | - Jeffrey A. Reimer
- Department
of Chemical and Biomolecular Engineering, UC Berkeley, and Materials Science Division, Lawrence Berkeley National
Laboratory, Berkeley, California94720, United States
| | - Hanming Yang
- Department
of Chemistry, University of Wisconsin, Madison, Madison, Wisconsin53706, United States
| | - Igor V. Koptyug
- International Tomography Center, Siberian
Branch of the Russian Academy
of Sciences, 630090Novosibirsk, Russia,
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6
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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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7
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Hong D, Batsios G, Viswanath P, Gillespie AM, Vaidya M, Larson PEZ, Ronen SM. Acquisition and quantification pipeline for in vivo hyperpolarized 13 C MR spectroscopy. Magn Reson Med 2021; 87:1673-1687. [PMID: 34775639 DOI: 10.1002/mrm.29081] [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: 02/17/2021] [Revised: 10/16/2021] [Accepted: 10/22/2021] [Indexed: 11/08/2022]
Abstract
PURPOSE The goal of this study was to combine a specialized acquisition method with a new quantification pipeline to accurately and efficiently probe the metabolism of hyperpolarized 13 C-labeled compounds in vivo. In this study, we tested our approach on [2-13 C]pyruvate and [1-13 C]α-ketoglutarate data in rat orthotopic brain tumor models at 3T. METHODS We used a multiband metabolite-specific radiofrequency (RF) excitation in combination with a variable flip angle scheme to minimize substrate polarization loss and measure fast metabolic processes. We then applied spectral-temporal denoising using singular value decomposition to enhance spectral quality. This was combined with LCModel-based automatic 13 C spectral fitting and flip angle correction to separate overlapping signals and rapidly quantify the different metabolites. RESULTS Denoising improved the metabolite signal-to-noise ratio (SNR) by approximately 5. It also improved the accuracy of metabolite quantification as evidenced by a significant reduction of the Cramer Rao lower bounds. Furthermore, the use of the automated and user-independent LCModel-based quantification approach could be performed rapidly, with the kinetic quantification of eight metabolite peaks in a 12-spectrum array achieved in less than 1 minute. CONCLUSION The specialized acquisition method combined with denoising and a new quantification pipeline using LCModel for the first time for hyperpolarized 13 C data enhanced our ability to monitor the metabolism of [2-13 C]pyruvate and [1-13 C]α-ketoglutarate in rat orthotopic brain tumor models in vivo. This approach could be broadly applicable to other hyperpolarized agents both preclinically and in the clinical setting.
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Affiliation(s)
- Donghyun Hong
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Georgios Batsios
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Pavithra Viswanath
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Anne Marie Gillespie
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Manushka Vaidya
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Peder E Z Larson
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Sabrina M Ronen
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
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8
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Eills J, Cavallari E, Kircher R, Di Matteo G, Carrera C, Dagys L, Levitt MH, Ivanov KL, Aime S, Reineri F, Münnemann K, Budker D, Buntkowsky G, Knecht S. Singlet-Contrast Magnetic Resonance Imaging: Unlocking Hyperpolarization with Metabolism*. Angew Chem Int Ed Engl 2021; 60:6791-6798. [PMID: 33340439 PMCID: PMC7986935 DOI: 10.1002/anie.202014933] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Indexed: 11/21/2022]
Abstract
Hyperpolarization-enhanced magnetic resonance imaging can be used to study biomolecular processes in the body, but typically requires nuclei such as 13 C, 15 N, or 129 Xe due to their long spin-polarization lifetimes and the absence of a proton-background signal from water and fat in the images. Here we present a novel type of 1 H imaging, in which hyperpolarized spin order is locked in a nonmagnetic long-lived correlated (singlet) state, and is only liberated for imaging by a specific biochemical reaction. In this work we produce hyperpolarized fumarate via chemical reaction of a precursor molecule with para-enriched hydrogen gas, and the proton singlet order in fumarate is released as antiphase NMR signals by enzymatic conversion to malate in D2 O. Using this model system we show two pulse sequences to rephase the NMR signals for imaging and suppress the background signals from water. The hyperpolarization-enhanced 1 H-imaging modality presented here can allow for hyperpolarized imaging without the need for low-abundance, low-sensitivity heteronuclei.
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Affiliation(s)
- J. Eills
- Helmholtz Institute MainzGSI Helmholtzzentrum für Schwerionenforschung64291DarmstadtGermany
- Johannes Gutenberg University55090MainzGermany
| | - E. Cavallari
- Dept. of Molecular Biotechnology and Health SciencesUniversity of TorinoTorino10126Italy
| | - R. Kircher
- Technical University of Kaiserslautern67663KaiserslauternGermany
| | - G. Di Matteo
- Dept. of Molecular Biotechnology and Health SciencesUniversity of TorinoTorino10126Italy
| | - C. Carrera
- Institute of Biostructures and BioimagingNational Research Council of ItalyTorino10126Italy
| | - L. Dagys
- School of ChemistryUniversity of SouthamptonSouthamptonSO17 1BJVereinigtes Königreich
| | - M. H. Levitt
- School of ChemistryUniversity of SouthamptonSouthamptonSO17 1BJVereinigtes Königreich
| | - K. L. Ivanov
- International Tomography CenterSiberian Branch of the Russian Academy of ScienceNovosibirsk630090Russia
- Novosibirsk State UniversityNovosibirsk630090Russia
| | - S. Aime
- Dept. of Molecular Biotechnology and Health SciencesUniversity of TorinoTorino10126Italy
| | - F. Reineri
- Dept. of Molecular Biotechnology and Health SciencesUniversity of TorinoTorino10126Italy
| | - K. Münnemann
- Technical University of Kaiserslautern67663KaiserslauternGermany
| | - D. Budker
- Helmholtz Institute MainzGSI Helmholtzzentrum für Schwerionenforschung64291DarmstadtGermany
- Johannes Gutenberg University55090MainzGermany
| | - G. Buntkowsky
- Eduard-Zintl-Institute for Inorganic Chemistry and Physical, ChemistryTechnical University Darmstadt64287DarmstadtGermany
| | - S. Knecht
- Eduard-Zintl-Institute for Inorganic Chemistry and Physical, ChemistryTechnical University Darmstadt64287DarmstadtGermany
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9
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Eills J, Cavallari E, Kircher R, Di Matteo G, Carrera C, Dagys L, Levitt MH, Ivanov KL, Aime S, Reineri F, Münnemann K, Budker D, Buntkowsky G, Knecht S. Singulett‐Kontrast‐Magnetresonanztomographie: Freisetzung der Hyperpolarisation durch den Metabolismus**. Angew Chem Int Ed Engl 2021. [DOI: 10.1002/ange.202014933] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
- J. Eills
- Helmholtz Institute Mainz GSI Helmholtzzentrum für Schwerionenforschung 64291 Darmstadt Deutschland
- Johannes Gutenberg University 55090 Mainz Deutschland
| | - E. Cavallari
- Dept. of Molecular Biotechnology and Health Sciences University of Torino Torino 10126 Italien
| | - R. Kircher
- Technical University of Kaiserslautern 67663 Kaiserslautern Deutschland
| | - G. Di Matteo
- Dept. of Molecular Biotechnology and Health Sciences University of Torino Torino 10126 Italien
| | - C. Carrera
- Institute of Biostructures and Bioimaging National Research Council of Italy Torino 10126 Italien
| | - L. Dagys
- School of Chemistry University of Southampton Southampton SO17 1BJ Vereinigtes Königreich
| | - M. H. Levitt
- School of Chemistry University of Southampton Southampton SO17 1BJ Vereinigtes Königreich
| | - K. L. Ivanov
- International Tomography Center Siberian Branch of the Russian Academy of Science Novosibirsk 630090 Russland
- Novosibirsk State University Novosibirsk 630090 Russland
| | - S. Aime
- Dept. of Molecular Biotechnology and Health Sciences University of Torino Torino 10126 Italien
| | - F. Reineri
- Dept. of Molecular Biotechnology and Health Sciences University of Torino Torino 10126 Italien
| | - K. Münnemann
- Technical University of Kaiserslautern 67663 Kaiserslautern Deutschland
| | - D. Budker
- Helmholtz Institute Mainz GSI Helmholtzzentrum für Schwerionenforschung 64291 Darmstadt Deutschland
- Johannes Gutenberg University 55090 Mainz Deutschland
| | - G. Buntkowsky
- Eduard-Zintl-Institute for Inorganic Chemistry and Physical, Chemistry Technical University Darmstadt 64287 Darmstadt Deutschland
| | - S. Knecht
- Eduard-Zintl-Institute for Inorganic Chemistry and Physical, Chemistry Technical University Darmstadt 64287 Darmstadt Deutschland
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10
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Traechtler J, Vishnevskiy V, Fuetterer M, Kozerke S. Joint image and field map estimation for multi-echo hyperpolarized 13 C metabolic imaging of the heart. Magn Reson Med 2021; 86:258-276. [PMID: 33660300 DOI: 10.1002/mrm.28710] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 01/13/2021] [Accepted: 01/14/2021] [Indexed: 12/21/2022]
Abstract
PURPOSE Image reconstruction of metabolic images from hyperpolarized 13 C multi-echo data acquisition is sensitive to susceptibility-induced phase offsets, which are particularly challenging in the heart. A model-based framework for joint estimation of metabolite images and field map from echo shift-encoded data is proposed. Using simulations, it is demonstrated that correction of signal spilling due to incorrect decomposition of metabolites and geometrical distortions over a wide range of off-resonance gradients is possible. In vivo feasibility is illustrated using hyperpolarized [1-13 C]pyruvate in the pig heart. METHODS The model-based reconstruction for multi-echo, multicoil data was implemented as a nonconvex minimization problem jointly optimizing for metabolic images and B0 . A comprehensive simulation framework for echo shift-encoded hyperpolarized [1-13 C]pyruvate imaging was developed and applied to assess reconstruction performance and distortion correction of the proposed method. In vivo data were obtained in four pigs using hyperpolarized [1-13 C]pyruvate on a clinical 3T MR system with a six-channel receiver coil. Dynamic images were acquired during suspended ventilation using cardiac-triggered multi-echo single-shot echo-planar imaging in short-axis orientation. RESULTS Simulations revealed that off-resonance gradients up to ±0.26 ppm/pixel can be corrected for with reduced signal spilling and geometrical distortions yielding an accuracy of ≥90% in terms of Dice similarity index. In vivo, improved geometrical consistency (10% Dice improvement) compared to image reconstruction without field map correction and with reference to anatomical data was achieved. CONCLUSION Joint image and field map estimation allows addressing off-resonance-induced geometrical distortions and metabolite spilling in hyperpolarized 13 C metabolic imaging of the heart.
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Affiliation(s)
- Julia Traechtler
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Valery Vishnevskiy
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Maximilian Fuetterer
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
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11
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Topping GJ, Heid I, Trajkovic-Arsic M, Kritzner L, Grashei M, Hundshammer C, Aigner M, Skinner JG, Braren R, Schilling F. Hyperpolarized 13C Spectroscopy with Simple Slice-and-Frequency-Selective Excitation. Biomedicines 2021; 9:biomedicines9020121. [PMID: 33513763 PMCID: PMC7911979 DOI: 10.3390/biomedicines9020121] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 01/16/2021] [Accepted: 01/23/2021] [Indexed: 01/01/2023] Open
Abstract
Hyperpolarized 13C nuclear magnetic resonance spectroscopy can characterize in vivo tissue metabolism, including preclinical models of cancer and inflammatory disease. Broad bandwidth radiofrequency excitation is often paired with free induction decay readout for spectral separation, but quantification of low-signal downstream metabolites using this method can be impeded by spectral peak overlap or when frequency separation of the detected peaks exceeds the excitation bandwidth. In this work, alternating frequency narrow bandwidth (250 Hz) slice-selective excitation was used for 13C spectroscopy at 7 T in a subcutaneous xenograft rat model of human pancreatic cancer (PSN1) to improve quantification while measuring the dynamics of injected hyperpolarized [1-13C]lactate and its metabolite [1-13C]pyruvate. This method does not require sophisticated pulse sequences or specialized radiofrequency and gradient pulses, but rather uses nominally spatially offset slices to produce alternating frequency excitation with simpler slice-selective radiofrequency pulses. Additionally, point-resolved spectroscopy was used to calibrate the 13C frequency from the thermal proton signal in the target region. This excitation scheme isolates the small [1-13C]pyruvate peak from the similar-magnitude tail of the much larger injected [1-13C]lactate peak, facilitates quantification of the [1-13C]pyruvate signal, simplifies data processing, and could be employed for other substrates and preclinical models.
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Affiliation(s)
- Geoffrey J. Topping
- Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; (G.J.T.); (M.G.); (C.H.); (M.A.); (J.G.S.)
| | - Irina Heid
- Institute of Diagnostic and Interventional Radiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; (I.H.); (L.K.); (R.B.)
| | - Marija Trajkovic-Arsic
- Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK, Partner Site Essen), 45147 Essen, Germany;
- German Cancer Research Center, DKFZ, 69120 Heidelberg, Germany
- Institute of Developmental Cancer Therapeutics, West German Cancer Center, University Hospital Essen, 45147 Essen, Germany
| | - Lukas Kritzner
- Institute of Diagnostic and Interventional Radiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; (I.H.); (L.K.); (R.B.)
| | - Martin Grashei
- Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; (G.J.T.); (M.G.); (C.H.); (M.A.); (J.G.S.)
| | - Christian Hundshammer
- Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; (G.J.T.); (M.G.); (C.H.); (M.A.); (J.G.S.)
| | - Maximilian Aigner
- Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; (G.J.T.); (M.G.); (C.H.); (M.A.); (J.G.S.)
| | - Jason G. Skinner
- Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; (G.J.T.); (M.G.); (C.H.); (M.A.); (J.G.S.)
| | - Rickmer Braren
- Institute of Diagnostic and Interventional Radiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; (I.H.); (L.K.); (R.B.)
- German Cancer Consortium (DKTK, Partner Site Munich), 81675 Munich, Germany
| | - Franz Schilling
- Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; (G.J.T.); (M.G.); (C.H.); (M.A.); (J.G.S.)
- Correspondence:
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12
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Xu Z, Niedzielski JS, Sun C, Walker CM, Michel KA, Einstein SA, Martinez GV, Bankson JA. Correction and optimization of symmetric echo-planar spectroscopic imaging for hyperpolarized [1- 13C]-pyruvate. JOURNAL OF MAGNETIC RESONANCE (SAN DIEGO, CALIF. : 1997) 2020; 321:106859. [PMID: 33160268 PMCID: PMC7722237 DOI: 10.1016/j.jmr.2020.106859] [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: 05/21/2020] [Revised: 10/21/2020] [Accepted: 10/23/2020] [Indexed: 06/11/2023]
Abstract
Symmetric echo-planar spectroscopic imaging (EPSI) supports higher spectral bandwidth and improves signal-to-noise efficiency compared to flyback EPSI with the same readout bandwidth, but suffers from artifacts that are associated with non-uniform temporal sampling in k-t space. Our goal is to eliminate these artifacts and enhance observation of hyperpolarized [1-13C] pyruvate and its metabolites using symmetric EPSI. We used symmetric EPSI to efficiently acquire radially encoded spectroscopic imaging projections with a spectral under-sampling scheme that was optimized for HP pyruvate and its metabolites. A simple approach called selective correction of off-resonance effects (SCORE) was developed and applied to eliminate spectral artifacts. Simulations were used to assess the relative SNR performance of this technique, and a phantom study was carried out at 3 T to evaluate this method and compare it with alternative strategies. SCORE correction eliminated spectral artifacts due to chemical shift and non-uniform sampling in time. It is also compatible with established methods to eliminate artifacts caused by eddy currents. SCORE corrected symmetric EPSI supported maximal EPSI spectral bandwidth and improved SNR efficiency. Symmetric EPSI with SCORE correction offers a straightforward, efficient, and effective framework for assessment of hyperpolarized [1-13C] pyruvate and its metabolites.
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Affiliation(s)
- Zhan Xu
- Department of Imaging Physics, The University of Texas-MD Anderson Cancer Center, Houston, TX, USA
| | - Joshua S Niedzielski
- Department of Imaging Physics, The University of Texas-MD Anderson Cancer Center, Houston, TX, USA
| | - Changyu Sun
- Department of Imaging Physics, The University of Texas-MD Anderson Cancer Center, Houston, TX, USA
| | - Christopher M Walker
- Department of Imaging Physics, The University of Texas-MD Anderson Cancer Center, Houston, TX, USA
| | - Keith A Michel
- Department of Imaging Physics, The University of Texas-MD Anderson Cancer Center, Houston, TX, USA; The University of Texas MD Anderson Cancer Center UT Health Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Samuel A Einstein
- Department of Imaging Physics, The University of Texas-MD Anderson Cancer Center, Houston, TX, USA
| | - Gary V Martinez
- Department of Imaging Physics, The University of Texas-MD Anderson Cancer Center, Houston, TX, USA
| | - James A Bankson
- Department of Imaging Physics, The University of Texas-MD Anderson Cancer Center, Houston, TX, USA; The University of Texas MD Anderson Cancer Center UT Health Graduate School of Biomedical Sciences, Houston, TX, USA.
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13
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Higano NS, Thomen RP, Quirk JD, Huyck HL, Hahn AD, Fain SB, Pryhuber GS, Woods JC. Alveolar Airspace Size in Healthy and Diseased Infant Lungs Measured via Hyperpolarized 3He Gas Diffusion Magnetic Resonance Imaging. Neonatology 2020; 117:704-712. [PMID: 33176330 PMCID: PMC7878286 DOI: 10.1159/000511084] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 08/22/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Alveolar development and lung parenchymal simplification are not well characterized in vivo in neonatal patients with respiratory morbidities, such as bronchopulmonary dysplasia (BPD). Hyperpolarized (HP) gas diffusion magnetic resonance imaging (MRI) is a sensitive, safe, nonionizing, and noninvasive biomarker for measuring airspace size in vivo but has not yet been implemented in young infants. OBJECTIVE This work quantified alveolar airspace size via HP gas diffusion MRI in healthy and diseased explanted infant lung specimens, with comparison to histological morphometry. METHODS Lung specimens from 8 infants were obtained: 7 healthy left upper lobes (0-16 months, post-autopsy) and 1 left lung with filamin-A mutation, closely representing BPD lung disease (11 months, post-transplantation). Specimens were imaged using HP 3He diffusion MRI to generate apparent diffusion coefficients (ADCs) as biomarkers of alveolar airspace size, with comparison to mean linear intercept (Lm) via quantitative histology. RESULTS Mean ADC and Lm were significantly increased throughout the diseased specimen (ADC = 0.26 ± 0.06 cm2/s, Lm = 587 ± 212 µm) compared with healthy specimens (ADC = 0.14 ± 0.03 cm2/s, Lm = 133 ± 37 µm; p < 1 × 10-7); increased values reflect enlarged airspaces. Mean ADCs in healthy specimens were significantly correlated to Lm (r = 0.69, p = 0.041). CONCLUSIONS HP gas diffusion MRI is sensitive to healthy and diseased regional alveolar airspace size in infant lungs, with good comparison to quantitative histology in ex vivo specimens. This work demonstrates the translational potential of gas MRI techniques for in vivo assessment of normal and abnormal alveolar development in neonates with pulmonary disease.
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Affiliation(s)
- Nara S Higano
- Division of Pulmonary Medicine and Department of Radiology, Center for Pulmonary Imaging Research, Cincinnati Children's Hospital, Cincinnati, Ohio, USA,
| | - Robert P Thomen
- Department of Radiology and Bioengineering, University of Missouri, Columbia, Missouri, USA
| | - James D Quirk
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Heidie L Huyck
- Division of Neonatology, Department of Pediatrics, University of Rochester, Rochester, New York, USA
| | - Andrew D Hahn
- Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Sean B Fain
- Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA.,Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.,Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Gloria S Pryhuber
- Division of Neonatology, Department of Pediatrics, University of Rochester, Rochester, New York, USA
| | - Jason C Woods
- Division of Pulmonary Medicine and Department of Radiology, Center for Pulmonary Imaging Research, Cincinnati Children's Hospital, Cincinnati, Ohio, USA.,Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, USA
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