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Clinical high-resolution mapping of the proteoglycan-bound water fraction in articular cartilage of the human knee joint
Institution:1. Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA;2. Clinical Research Core, Office of the Scientific Director, National Institute on Aging, National Institutes of Health, Baltimore, MD 21225, USA;1. Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA;2. Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, 99 West Huai-hai Road, Xuzhou, Jiangsu 221002, PR China;3. Division of Nephrology and Hypertension, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA;1. Division of Radiology, Department of Radiology and Medical Informatics, Geneva University Hospital and Faculty of Medicine, University of Geneva, 4 rue Gabrielle-Perret-Gentil, 1205 Geneva, Switzerland;2. First Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa, 6 viale Benedetto XV, 16132 Genoa, Italy;3. IRCCS AOU San Martino - IST, Genova, 10 Largo Rosanna Benzi, 16132 Genoa, Italy;4. Division of Pathology, Department of Genetics and Laboratory Medicine, Geneva University Hospitals, 4 rue Gabrielle-Perret-Gentil, 1205 Geneva, Switzerland;5. Division of Cardiology, Foundation for Medical Researches, Faculty of Medicine, Department of Internal Medicine, University of Geneva, 64 avenue de la Roseraie, 1211 Geneva, Switzerland;1. Department of Radiology and BRIC, University of North Carolina at Chapel Hill, United States;2. Med-X Research Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, China;3. Department of Brain and Cognitive Engineering, Korea University, Seoul 02841, Republic of Korea;1. Faculty of Health Sciences, Hokkaido University, North- 12, West- 5, Kita- ku, Sapporo, Hokkaido 060-0812, Japan;2. Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, North- 15, West- 7, Kita- ku, Sapporo, Hokkaido 060-8638, Japan;3. C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center (LUMC), C3-Q, Albinusdreef 2, Leiden, 2333, ZA, The Netherlands;4. Department of Radiological Technology, Hokkaido University Hospital, North- 14, West- 5, Kita- ku, Sapporo, Hokkaido 060-8648, Japan;1. Department of Cardiomyopathies, CMR Unit, Institute of Cardiology, Warsaw, Poland;2. Department of Pediatric Cardiology, The Children''s Memorial Health Institute, Warsaw, Poland;3. Department of Coronary and Structural Heart Diseases, CMR Unit, Institute of Cardiology, Warsaw, Poland;4. CMR Unit, Institute of Cardiology, Warsaw, Poland;5. Institute of Cardiology, Warsaw, Poland
Abstract:PurposeWe applied our recently introduced Bayesian analytic method to achieve clinically-feasible in-vivo mapping of the proteoglycan water fraction (PgWF) of human knee cartilage with improved spatial resolution and stability as compared to existing methods.Materials and methodsMulticomponent driven equilibrium single-pulse observation of T1 and T2 (mcDESPOT) datasets were acquired from the knees of two healthy young subjects and one older subject with previous knee injury. Each dataset was processed using Bayesian Monte Carlo (BMC) analysis incorporating a two-component tissue model. We assessed the performance and reproducibility of BMC and of the conventional analysis of stochastic region contraction (SRC) in the estimation of PgWF. Stability of the BMC analysis of PgWF was tested by comparing independent high-resolution (HR) datasets from each of the two young subjects.ResultsUnlike SRC, the BMC-derived maps from the two HR datasets were essentially identical. Furthermore, SRC maps showed substantial random variation in estimated PgWF, and mean values that differed from those obtained using BMC. In addition, PgWF maps derived from conventional low-resolution (LR) datasets exhibited partial volume and magnetic susceptibility effects. These artifacts were absent in HR PgWF images. Finally, our analysis showed regional variation in PgWF estimates, and substantially higher values in the younger subjects as compared to the older subject.ConclusionsBMC-mcDESPOT permits HR in-vivo mapping of PgWF in human knee cartilage in a clinically-feasible acquisition time. HR mapping reduces the impact of partial volume and magnetic susceptibility artifacts compared to LR mapping. Finally, BMC-mcDESPOT demonstrated excellent reproducibility in the determination of PgWF.
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