ホリ　マサアキ   Hori Masaaki   堀　正明    所属   東邦大学  医学部 医学科（大森病院）    職種   教授
論文種別	原著
言語種別	英語
査読の有無	査読あり
表題	Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability.
掲載誌名	正式名：Brain : a journal of neurology
巻・号・頁	143(7),pp.2089-2105
著者・共著者	Anne Kerbrat,Charley Gros,Atef Badji,Elise Bannier,Francesca Galassi,Benoit Combès,Raphaël Chouteau,Pierre Labauge,Xavier Ayrignac,Clarisse Carra-Dalliere,Josefina Maranzano,Tobias Granberg,Russell Ouellette,Leszek Stawiarz,Jan Hillert,Jason Talbott,Yasuhiko Tachibana,Masaaki Hori,Kouhei Kamiya,Lydia Chougar,Jennifer Lefeuvre,Daniel S Reich,Govind Nair,Paola Valsasina,Maria A Rocca,Massimo Filippi,Renxin Chu,Rohit Bakshi,Virginie Callot,Jean Pelletier,Bertrand Audoin,Adil Maarouf,Nicolas Collongues,Jérôme De Seze,Gilles Edan,Julien Cohen-Adad
発行年月	2020/07
概要	Despite important efforts to solve the clinico-radiological paradox, correlation between lesion load and physical disability in patients with multiple sclerosis remains modest. One hypothesis could be that lesion location in corticospinal tracts plays a key role in explaining motor impairment. In this study, we describe the distribution of lesions along the corticospinal tracts from the cortex to the cervical spinal cord in patients with various disease phenotypes and disability status. We also assess the link between lesion load and location within corticospinal tracts, and disability at baseline and 2-year follow-up. We retrospectively included 290 patients (22 clinically isolated syndrome, 198 relapsing remitting, 39 secondary progressive, 31 primary progressive multiple sclerosis) from eight sites. Lesions were segmented on both brain (T2-FLAIR or T2-weighted) and cervical (axial T2- or T2*-weighted) MRI scans. Data were processed using an automated and publicly available pipeline. Brain, brainstem and spinal cord portions of the corticospinal tracts were identified using probabilistic atlases to measure the lesion volume fraction. Lesion frequency maps were produced for each p
DOI	10.1093/brain/awaa162
PMID	32572488