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Subtyping relapsing-remitting multiple sclerosis using structural MRI.

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机构: [1]Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, The West Southern 4th Ring Road, Fengtai District, Beijing 100070, China [2]Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China [3]Center for Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China [4]China National Clinical Research Center for Neurological Diseases, Beijing 100070, China [5]Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin 300052, China [6]Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China [7]Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China [8]Department of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang 330006, Jiangxi Province, China [9]Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang 330006, Jiangxi Province, China [10]Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, China [11]Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China [12]Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun 130031, Jilin Province, China [13]Department of Imaging and Medical Informatics, University Hospitals of Geneva and Faculty of Medicine of the University of Geneva, Geneva, Switzerland [14]Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, The Netherlands [15]Queen Square Institute of Neurology and Center for Medical Image Computing, University College London, London, UK
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关键词: Relapsing–remitting multiple sclerosis Magnetic resonance imaging Diffusion tensor imaging Gray matter volume Fractional anisotropy

摘要:
Subtyping relapsing-remitting multiple sclerosis (RRMS) patients may help predict disease progression and triage patients for treatment. We aimed to subtype RRMS patients by structural MRI and investigate their clinical significances. 155 relapse-remitting MS (RRMS) and 210 healthy controls (HC) were retrospectively enrolled with structural 3DT1, diffusion tensor imaging (DTI) and resting-state functional MRI. Z scores of cortical and deep gray matter volumes (CGMV and DGMV) and white matter fractional anisotropy (WM-FA) in RRMS patients were calculated based on means and standard deviations of HC. We defined RRMS as "normal" (- 2 < z scores of both GMV and WM-FA), DGM (z scores of DGMV < - 2), and DGM-plus types (z scores of DGMV and [CGMV or WM-FA] < - 2) according to combinations of z scores compared to HC. Expanded disability status scale (EDSS), cognitive and functional MRI measurements, and conversion rate to secondary progressive MS (SPMS) at 5-year follow-up were compared between subtypes. 77 (49.7%) patients were "normal" type, 37 (23.9%) patients were DGM type and 34 (21.9%) patients were DGM-plus type. 7 (4.5%) patients who were not categorized into the above types were excluded. DGM-plus type had the highest EDSS. Both DGM and DGM-plus types had more severe cognitive impairment than "normal" type. Only DGM-plus type showed decreased functional MRI measures compared to HC. A higher conversion ratio to SPMS in DGM-plus type (55%) was identified compared to "normal" type (14%, p < 0.001) and DGM type (20%, p = 0.005). Three MRI-subtypes of RRMS were identified with distinct clinical and imaging features and different prognosis.

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出版当年[2020]版:
大类 | 2 区 医学
小类 | 3 区 临床神经病学
最新[2023]版:
大类 | 2 区 医学
小类 | 2 区 临床神经病学
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出版当年[2019]版:
Q1 CLINICAL NEUROLOGY
最新[2023]版:
Q1 CLINICAL NEUROLOGY

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第一作者机构: [1]Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, The West Southern 4th Ring Road, Fengtai District, Beijing 100070, China
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