Pooled analysis of multiple sclerosis findings on multisite 7 Tesla MRI: Protocol and initial observations.

Autor: Harrison DM; Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA.; Department of Neurology, Baltimore VA Medical Center, VA Maryland Healthcare System, Baltimore, Maryland, USA., Choi S; Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA., Bakshi R; Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA., Beck ES; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA., Callen AM; Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA., Chu R; Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA., Silva JDS; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Fetco D; McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada.; NeuroRx Research, Montreal, Quebec, Canada., Greenwald M; Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA., Kolind S; Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada., Narayanan S; McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada.; NeuroRx Research, Montreal, Quebec, Canada., Okar SV; Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA., Quattrucci MK; Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA., Reich DS; Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA., Rudko D; McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada., Russell-Schulz B; Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada., Schindler MK; Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Tauhid S; Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA., Traboulsee A; Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada., Vavasour Z; Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada., Zurawski JD; Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Jazyk: angličtina
Zdroj: Human brain mapping [Hum Brain Mapp] 2024 Aug 15; Vol. 45 (12), pp. e26816.
DOI: 10.1002/hbm.26816
Abstrakt: Although 7 T MRI research has contributed much to our understanding of multiple sclerosis (MS) pathology, most prior data has come from small, single-center studies with varying methods. In order to truly know if such findings have widespread applicability, multicenter methods and studies are needed. To address this, members of the North American Imaging in MS (NAIMS) Cooperative worked together to create a multicenter collaborative study of 7 T MRI in MS. In this manuscript, we describe the methods we have developed for the purpose of pooling together a large, retrospective dataset of 7 T MRIs acquired in multiple MS studies at five institutions. To date, this group has contributed five-hundred and twenty-eight 7 T MRI scans from 350 individuals with MS to a common data repository, with plans to continue to increase this sample size in the coming years. We have developed unified methods for image processing for data harmonization and lesion identification/segmentation. We report here our initial observations on intersite differences in acquisition, which includes site/device differences in brain coverage and image quality. We also report on the development of our methods and training of image evaluators, which resulted in median Dice Similarity Coefficients for trained raters' annotation of cortical and deep gray matter lesions, paramagnetic rim lesions, and meningeal enhancement between 0.73 and 0.82 compared to final consensus masks. We expect this publication to act as a resource for other investigators aiming to combine multicenter 7 T MRI datasets for the study of MS, in addition to providing a methodological reference for all future analysis projects to stem from the development of this dataset.
(© 2024 The Author(s). Human Brain Mapping published by Wiley Periodicals LLC.)
Databáze: MEDLINE
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