Subtyping relapsing–remitting multiple sclerosis using structural MRI View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2021-01-02

AUTHORS

Zhizheng Zhuo, Yongmei Li, Yunyun Duan, Guanmei Cao, Fenglian Zheng, Jinli Ding, Decai Tian, Xinli Wang, Jinhui Wang, Xinghu Zhang, Kuncheng Li, Fuqing Zhou, Muhua Huang, Yuxin Li, Haiqing Li, Chun Zeng, Ningnannan Zhang, Jie Sun, Chunshui Yu, Xuemei Han, Sven Haller, Frederik Barkhof, Fudong Shi, Yaou Liu

ABSTRACT

Background and purposeSubtyping 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.Methods155 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.Results77 (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).ConclusionThree MRI-subtypes of RRMS were identified with distinct clinical and imaging features and different prognosis. More... »

PAGES

1808-1817

Journal

TITLE

Journal of Neurology

ISSUE

5

VOLUME

268

Author Affiliations

  • Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, The West Southern 4th Ring Road, Fengtai District, 100070, Beijing, China
  • Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, 400016, Chongqing, China
  • China National Clinical Research Center for Neurological Diseases, 100070, Beijing, China
  • Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, 300052, Tianjin, China
  • 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, 510631, Guangzhou, China
  • Center for Neurology, Beijing Tiantan Hospital, Capital Medical University, 100070, Beijing, China
  • Department of Radiology, Xuanwu Hospital, Capital Medical University, 100053, Beijing, China
  • Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, 330006, Nanchang, Jiangxi Province, China
  • Department of Radiology, Huashan Hospital, Fudan University, 200040, Shanghai, China
  • Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, 300052, Tianjin, China
  • Department of Neurology, China-Japan Union Hospital of Jilin University, 130031, Changchun, Jilin Province, China
  • Department of Imaging and Medical Informatics, University Hospitals of Geneva and Faculty of Medicine of the University of Geneva, Geneva, Switzerland
  • Queen Square Institute of Neurology and Center for Medical Image Computing, University College London, London, UK
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00415-020-10376-7

    DOI

    http://dx.doi.org/10.1007/s00415-020-10376-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1134274759

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/33387013


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