Quantifying global-brain metabolite level changes with whole-head proton MR spectroscopy at 3 T |
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| Institution: | 1. Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY 10016, USA;2. Department of Radiology, Duke University Medical Center, Durham, NC, 27710, USA;1. State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China;2. University of Chinese Academy of Sciences, Beijing, China;3. UCLA-Beijing Joint Center for Advanced Brain Imaging, Beijing, China;4. UCLA-Beijing Joint Center for Advanced Brain Imaging, Los Angeles, CA, USA;5. Beijing Institute for Brain Disorders, Beijing, China;6. Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China;7. Department of Psychology, University of Minnesota, Minneapolis, MN, USA;8. Laboratory of FMRI Technology (LOFT), Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA;9. Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA;1. Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA;2. Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA;3. Department of Psychology, Vanderbilt University, Nashville, TN, USA;4. Department of Electrical Engineering, Vanderbilt University, Nashville, TN, USA;1. The Saban Research Institute, Children''s Hospital of Los Angeles, Los Angeles, CA 90027;2. Department of Pediatric, University of Southern California, Los Angeles, CA 90027;3. Department of Psychiatry, University of Southern California, Los Angeles, CA 90027;4. Department of Psychiatry, Columbia College of Physicians and Surgeons, New York, NY 10032;5. New York State Psychiatric Institute, New York, NY 10032;1. Department of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL, 60611;2. Department of Radiology, Anzhen Hospital, Capital Medical University, Beijing, 100029, China |
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| Abstract: | Background and purposeTo assess the sensitivity of non-localized, whole-head 1H-MRS to an individual's serial changes in total-brain NAA, Glx, Cr and Cho concentrations — metabolite metrics often used as surrogate markers in neurological pathologies.Materials and methodsIn this prospective study, four back-to-back (single imaging session) and three serial (successive sessions) non-localizing, ~3 min 1H-MRS (TE/TR/TI = 5/104/940 ms) scans were performed on 18 healthy young volunteers: 9 women, 9 men: 29.9 ± 7.6 mean ± standard deviation (SD)] years old. These were analyzed by calculating a within-subject coefficient of variation (CV = SD/mean) to assess intra- and inter-scan repeatability and prediction intervals. This study was Health Insurance Portability and Accountability Act compliant. All subjects gave institutional review board-approved written, informed consent.ResultsThe intra-scan CVs for the NAA, Glx, Cr and Cho were: 3.9 ± 1.8%, 7.3 ± 4.6%, 4.0 ± 3.4% and 2.5 ± 1.6%, and the corresponding inter-scan (longitudinal) values were: 7.0 ± 3.1%, 10.6 ± 5.6%, 7.6 ± 3.5% and 7.0 ± 3.9%. This method is shown to have 80% power to detect changes of 14%, 27%, 26% and 19% between two serial measurements in a given individual.ConclusionsSubject to the assumption that in neurological disorders NAA, Glx, Cr and Cho changes represent brain-only pathology and not muscles, bone marrow, adipose tissue or epithelial cells, this approach enables us to quantify them, thereby adding specificity to the assessment of the total disease load. This will facilitate monitoring diffuse pathologies with faster measurement, more extensive (~90% of the brain) spatial coverage and sensitivity than localized 1H-MRS. |
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