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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] [What about the content of this article? (0)] [Affiliation(s)] [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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2
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Villarreal-Calderón JR, Castillo EC, Cuellar-Tamez RX, García-Garza M, Elizondo-Montemayor L, García-Rivas G. Reduced Th1 response is associated with lower glycolytic activity in activated peripheral blood mononuclear cells after metabolic and bariatric surgery. J Endocrinol Invest 2021; 44:2819-2830. [PMID: 33991317 DOI: 10.1007/s40618-021-01587-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 04/30/2021] [Indexed: 12/31/2022]
Abstract
BACKGROUND Obesity promotes cellular immunometabolism changes that trigger the activation of macrophages and lymphocytes, leading to systemic inflammation. Activated leukocytes undergo metabolic reprogramming, increasing glycolytic activity. OBJECTIVE To examine whether the reduction in the inflammatory state associated with bariatric surgery is associated with decreased glycolytic activity in leukocytes. Setting Single-center, prospective observational study. METHODS This study involved 18 patients with obesity undergoing bariatric surgery. All measurements were performed preoperatively and six months postoperatively. Peripheral blood mononuclear cells and plasma were obtained to determine the glycolytic rate and mitochondrial membrane potential as surrogates of the metabolic switching and high-sensitivity C-reactive protein, adipokines, and CD69 expression as inflammatory and activation markers. RESULTS Glycolytic activity engaged by CD3/CD28 activation was reduced six months after bariatric surgery, associated with decreased levels of T helper (Th) 1 and Th17 signature cytokines. An overall reduction in inflammatory markers was observed, which correlated with a higher adiponectin/leptin ratio. CONCLUSIONS Metabolic and bariatric surgery-induced weight loss leads to reprogramming in T cells' metabolic machinery, resulting in reduced stimulation of glycolysis after activation, which may explain the decrease in systemic inflammation mediated by cytokines such as interferon-γ and interleukin-17A.
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Affiliation(s)
- J R Villarreal-Calderón
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Cátedra de Cardiología y Medicina Vascular, Ave. Morones Prieto 3000, 64710, Monterrey, NL, Mexico
| | - E C Castillo
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Cátedra de Cardiología y Medicina Vascular, Ave. Morones Prieto 3000, 64710, Monterrey, NL, Mexico
| | - R X Cuellar-Tamez
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Cátedra de Cardiología y Medicina Vascular, Ave. Morones Prieto 3000, 64710, Monterrey, NL, Mexico
| | | | - L Elizondo-Montemayor
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Cátedra de Cardiología y Medicina Vascular, Ave. Morones Prieto 3000, 64710, Monterrey, NL, Mexico.
- Tecnologico de Monterrey, Centro de Investigación en Nutrición Clínica y Obesidad, Monterrey, NL, Mexico.
| | - G García-Rivas
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Cátedra de Cardiología y Medicina Vascular, Ave. Morones Prieto 3000, 64710, Monterrey, NL, Mexico.
- Tecnologico de Monterrey, Centro de Investigación Biomédica, Hospital Zambrano Hellion, TecSalud, 66278, San Pedro Garza García, NL, Mexico.
- Tecnologico de Monterrey, Centro de Medicina Funcional, Hospital Zambrano Hellion, TecSalud, San Pedro Garza García, NL, Mexico.
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Salzillo TC, Mawoneke V, Weygand J, Shetty A, Gumin J, Zacharias NM, Gammon ST, Piwnica-Worms D, Fuller GN, Logothetis CJ, Lang FF, Bhattacharya PK. Measuring the Metabolic Evolution of Glioblastoma throughout Tumor Development, Regression, and Recurrence with Hyperpolarized Magnetic Resonance. Cells 2021; 10:cells10102621. [PMID: 34685601 PMCID: PMC8534002 DOI: 10.3390/cells10102621] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 09/20/2021] [Accepted: 09/23/2021] [Indexed: 12/23/2022] Open
Abstract
Rapid diagnosis and therapeutic monitoring of aggressive diseases such as glioblastoma can improve patient survival by providing physicians the time to optimally deliver treatment. This research tested whether metabolic imaging with hyperpolarized MRI could detect changes in tumor progression faster than conventional anatomic MRI in patient-derived glioblastoma murine models. To capture the dynamic nature of cancer metabolism, hyperpolarized MRI, NMR spectroscopy, and immunohistochemistry were performed at several time-points during tumor development, regression, and recurrence. Hyperpolarized MRI detected significant changes of metabolism throughout tumor progression whereas conventional MRI was less sensitive. This was accompanied by aberrations in amino acid and phospholipid lipid metabolism and MCT1 expression. Hyperpolarized MRI can help address clinical challenges such as identifying malignant disease prior to aggressive growth, differentiating pseudoprogression from true progression, and predicting relapse. The individual evolution of these metabolic assays as well as their correlations with one another provides context for further academic research.
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Affiliation(s)
- Travis C. Salzillo
- Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA; (T.C.S.); (V.M.); (A.S.); (S.T.G.); (D.P.-W.)
| | - Vimbai Mawoneke
- Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA; (T.C.S.); (V.M.); (A.S.); (S.T.G.); (D.P.-W.)
| | - Joseph Weygand
- Department of Radiation Oncology, Moffitt Cancer Center, Tampa, FL 33612, USA;
| | - Akaanksh Shetty
- Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA; (T.C.S.); (V.M.); (A.S.); (S.T.G.); (D.P.-W.)
| | - Joy Gumin
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA; (J.G.); (F.F.L.)
| | - Niki M. Zacharias
- Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA;
| | - Seth T. Gammon
- Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA; (T.C.S.); (V.M.); (A.S.); (S.T.G.); (D.P.-W.)
| | - David Piwnica-Worms
- Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA; (T.C.S.); (V.M.); (A.S.); (S.T.G.); (D.P.-W.)
| | - Gregory N. Fuller
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA;
| | - Christopher J. Logothetis
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA;
| | - Frederick F. Lang
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA; (J.G.); (F.F.L.)
| | - Pratip K. Bhattacharya
- Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA; (T.C.S.); (V.M.); (A.S.); (S.T.G.); (D.P.-W.)
- Correspondence: ; Tel.: +1-713-454-9887
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Li Y, Vigneron DB, Xu D. Current human brain applications and challenges of dynamic hyperpolarized carbon-13 labeled pyruvate MR metabolic imaging. Eur J Nucl Med Mol Imaging 2021; 48:4225-4235. [PMID: 34432118 PMCID: PMC8566394 DOI: 10.1007/s00259-021-05508-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 07/27/2021] [Indexed: 12/17/2022]
Abstract
The ability of hyperpolarized carbon-13 MR metabolic imaging to acquire dynamic metabolic information in real time is crucial to gain mechanistic insights into metabolic pathways, which are complementary to anatomic and other functional imaging methods. This review presents the advantages of this emerging functional imaging technology, describes considerations in clinical translations, and summarizes current human brain applications. Despite rapid development in methodologies, significant technological and physiological related challenges continue to impede broader clinical translation.
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Affiliation(s)
- Yan Li
- Department of Radiology and Biomedical Imaging, UCSF Radiology, University of California, 185 Berry Street, Ste 350, Box 0946, San Francisco, CA, 94107, USA.
| | - Daniel B Vigneron
- Department of Radiology and Biomedical Imaging, UCSF Radiology, University of California, 185 Berry Street, Ste 350, Box 0946, San Francisco, CA, 94107, USA
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, UCSF Radiology, University of California, 185 Berry Street, Ste 350, Box 0946, San Francisco, CA, 94107, USA
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Chen J, Patel TR, Pinho MC, Choi C, Harrison CE, Baxter JD, Derner K, Pena S, Liticker J, Raza J, Hall RG, Reed GD, Cai C, Hatanpaa KJ, Bankson JA, Bachoo RM, Malloy CR, Mickey BE, Park JM. Preoperative imaging of glioblastoma patients using hyperpolarized 13C pyruvate: Potential role in clinical decision making. Neurooncol Adv 2021; 3:vdab092. [PMID: 34355174 PMCID: PMC8331053 DOI: 10.1093/noajnl/vdab092] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Background Glioblastoma remains incurable despite treatment with surgery, radiation therapy, and cytotoxic chemotherapy, prompting the search for a metabolic pathway unique to glioblastoma cells.13C MR spectroscopic imaging with hyperpolarized pyruvate can demonstrate alterations in pyruvate metabolism in these tumors. Methods Three patients with diagnostic MRI suggestive of a glioblastoma were scanned at 3 T 1–2 days prior to tumor resection using a 13C/1H dual-frequency RF coil and a 13C/1H-integrated MR protocol, which consists of a series of 1H MR sequences (T2 FLAIR, arterial spin labeling and contrast-enhanced [CE] T1) and 13C spectroscopic imaging with hyperpolarized [1-13C]pyruvate. Dynamic spiral chemical shift imaging was used for 13C data acquisition. Surgical navigation was used to correlate the locations of tissue samples submitted for histology with the changes seen on the diagnostic MR scans and the 13C spectroscopic images. Results Each tumor was histologically confirmed to be a WHO grade IV glioblastoma with isocitrate dehydrogenase wild type. Total hyperpolarized 13C signals detected near the tumor mass reflected altered tissue perfusion near the tumor. For each tumor, a hyperintense [1-13C]lactate signal was detected both within CE and T2-FLAIR regions on the 1H diagnostic images (P = .008). [13C]bicarbonate signal was maintained or decreased in the lesion but the observation was not significant (P = .3). Conclusions Prior to surgical resection, 13C MR spectroscopic imaging with hyperpolarized pyruvate reveals increased lactate production in regions of histologically confirmed glioblastoma.
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Affiliation(s)
- Jun Chen
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Toral R Patel
- Department of Neurosurgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Marco C Pinho
- Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Changho Choi
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Pathology, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Crystal E Harrison
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Jeannie D Baxter
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Kelley Derner
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Salvador Pena
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Jeff Liticker
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Jaffar Raza
- Department of Pharmacy Practice, Texas Tech University Health Sciences Center, Dallas, Texas, USA
| | - Ronald G Hall
- Department of Pharmacy Practice, Texas Tech University Health Sciences Center, Dallas, Texas, USA
| | | | - Chunyu Cai
- Department of Pathology, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Kimmo J Hatanpaa
- Department of Pathology, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - James A Bankson
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Robert M Bachoo
- Department of Neurosurgery and Neurotherapeutics, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Craig R Malloy
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Bruce E Mickey
- Department of Neurosurgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Jae Mo Park
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson, Texas, USA
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Prasad S, Chandra A, Cavo M, Parasido E, Fricke S, Lee Y, D'Amone E, Gigli G, Albanese C, Rodriguez O, Del Mercato LL. Optical and magnetic resonance imaging approaches for investigating the tumour microenvironment: state-of-the-art review and future trends. Nanotechnology 2021; 32:062001. [PMID: 33065554 DOI: 10.1088/1361-6528/abc208] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
The tumour microenvironment (TME) strongly influences tumorigenesis and metastasis. Two of the most characterized properties of the TME are acidosis and hypoxia, both of which are considered hallmarks of tumours as well as critical factors in response to anticancer treatments. Currently, various imaging approaches exist to measure acidosis and hypoxia in the TME, including magnetic resonance imaging (MRI), positron emission tomography and optical imaging. In this review, we will focus on the latest fluorescent-based methods for optical sensing of cell metabolism and MRI as diagnostic imaging tools applied both in vitro and in vivo. The primary emphasis will be on describing the current and future uses of systems that can measure intra- and extra-cellular pH and oxygen changes at high spatial and temporal resolution. In addition, the suitability of these approaches for mapping tumour heterogeneity, and assessing response or failure to therapeutics will also be covered.
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Affiliation(s)
- Saumya Prasad
- Institute of Nanotechnology, National Research Council (CNR-NANOTEC), c/o Campus Ecotekne, via Monteroni, 73100, Lecce, Italy
| | - Anil Chandra
- Institute of Nanotechnology, National Research Council (CNR-NANOTEC), c/o Campus Ecotekne, via Monteroni, 73100, Lecce, Italy
| | - Marta Cavo
- Institute of Nanotechnology, National Research Council (CNR-NANOTEC), c/o Campus Ecotekne, via Monteroni, 73100, Lecce, Italy
| | - Erika Parasido
- Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America
- Center for Translational Imaging, Georgetown University Medical Center, Washington, DC, United States of America
| | - Stanley Fricke
- Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America
- Center for Translational Imaging, Georgetown University Medical Center, Washington, DC, United States of America
- Department of Radiology, Georgetown University Medical Center, Washington, DC, United States of America
| | - Yichien Lee
- Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America
| | - Eliana D'Amone
- Institute of Nanotechnology, National Research Council (CNR-NANOTEC), c/o Campus Ecotekne, via Monteroni, 73100, Lecce, Italy
| | - Giuseppe Gigli
- Institute of Nanotechnology, National Research Council (CNR-NANOTEC), c/o Campus Ecotekne, via Monteroni, 73100, Lecce, Italy
- Department of Mathematics and Physics 'Ennio De Giorgi', University of Salento, via Arnesano, 73100, Lecce, Italy
| | - Chris Albanese
- Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America
- Center for Translational Imaging, Georgetown University Medical Center, Washington, DC, United States of America
- Department of Radiology, Georgetown University Medical Center, Washington, DC, United States of America
| | - Olga Rodriguez
- Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America
- Center for Translational Imaging, Georgetown University Medical Center, Washington, DC, United States of America
| | - Loretta L Del Mercato
- Institute of Nanotechnology, National Research Council (CNR-NANOTEC), c/o Campus Ecotekne, via Monteroni, 73100, Lecce, Italy
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Arru C, Serra E, Porcu C, Gadau SD. Confocal investigation on colocalization between tubulin posttranslational modifications and associated proteins in rat C6 glioma cells. J Struct Biol 2020; 213:107676. [PMID: 33279655 DOI: 10.1016/j.jsb.2020.107676] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 11/27/2020] [Accepted: 11/28/2020] [Indexed: 01/29/2023]
Abstract
Glioblastoma multiforme is the most lethal brain tumor. In the study of mechanisms underlying its development attention has been paid to the microtubular network of its cells, mainly on βIII tubulin, considered as a marker of malignancy. In the present work, we chose to investigate the tubulin code in glioblastoma cells, analyzing the degree of interaction between tubulin post-translational modifications and different proteins associated with them. The pattern of diverse associated proteins such as EB-1, CLIP-170 and kinesin-1 and their degree of co-distribution with the most abundant post-translational tubulin modifications (tyrosination, acetylation and polyglutamylation) were evaluated. Through immunofluorescence we have shown that EB-1, CLIP-170 and kinesin-1 were well detectable in glioblastoma cells. The double fluorescence and colocalization index between the post-translational modifications of tubulin and associated proteins showed that tyrosinated α-tubulin has significantly high affinity with EB-1, CLIP-170 and kinesin-1, while for acetylated and polyglutamylated tubulin, the degree of interaction with the three associated proteins evaluated was less apparent. Data presented in this paper underline the importance of a thorough analysis of the microtubular mechanics in glioblastoma cells. This may suggest new experimental therapeutic approaches able to act more selectively on the microtubular network of cells in this type of cancer.
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Affiliation(s)
- Caterina Arru
- Department of Veterinary Medicine, University of Sassari, Italy
| | - Elisa Serra
- Department of Veterinary Medicine, University of Sassari, Italy
| | - Cristian Porcu
- Department of Veterinary Medicine, University of Sassari, Italy
| | - Sergio D Gadau
- Department of Veterinary Medicine, University of Sassari, Italy.
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Datta K, Spielman D. MRI of [2- 13 C]Lactate without J-coupling artifacts. Magn Reson Med 2020; 85:1522-1539. [PMID: 33058240 DOI: 10.1002/mrm.28532] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 08/19/2020] [Accepted: 09/03/2020] [Indexed: 12/16/2022]
Abstract
PURPOSE Imaging of [2-13 C]lactate, a metabolic product of [2-13 C]pyruvate, is over considerable interest in hyperpolarized 13 C studies. However, artifact-free imaging of a J-coupled nuclear spin species can be challenging due to the peak-splitting induced by the spin-spin interactions. In this work, two new techniques resolving these J-modulated artifacts are presented. THEORY AND METHODS The Product Operator Formalism (POF) of density matrix theory is used to both numerically and analytically derive the coherences arising during radiofrequency excitation and readout of a J-coupled spin system. A combination of computer simulations and experiments with [2-13 C]lactate and 13 C-formate phantoms are then used to verify the performance of two imaging methods. In the first approach, a quadrature imaging technique is used to eliminate scalar coupling artifacts via the combination of in-phase and quadrature images acquired at echo times differing by 1/2J with an echoplanar readout. The second approach employs a highly narrowband RF excitation pulse to image a single peak from the J-coupled doublet. RESULTS Simulations using a numerical Shepp-Logan phantom, in vitro experiments using thermally polarized [2-13 C]lactate, thermally and hyperpolarized 13 C-formate phantoms, and in vivo imaging of [2-13 C]lactate produced in rat brain following injection of hyperpolarized [2-13 C]pyruvate show artifact-free images and demonstrate potential utility of these methods. CONCLUSION The quadrature imaging and the narrowband excitation techniques resolve the J-coupling induced ghosting and blurring artifacts present with conventional MRI of J-coupled signals such as [2-13 C]lactate.
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Affiliation(s)
- Keshav Datta
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Daniel Spielman
- Department of Radiology, Stanford University, Stanford, California, USA
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