Evidence map›Paper›PMID 40898200›Full record

ArticleBMC medicine2025

Spatiotemporal subtypes of brain and spinal cord atrophy in neuromyelitis optica spectrum disorders and multiple sclerosis.

Zhizheng Zhuo, Xiaolu Xu, Siyao Xu, Shi Yao, Jinyuan Weng, Fuqing Zhou, Tiantian Hua, Jun Sun, Dan Cheng, Guanmei Cao and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Zhizheng Zhuo *Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, the West Southern 4Th Ring Road, Fengtai District, Beijing, 100070, China.
Xiaolu Xu *Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, the West Southern 4Th Ring Road, Fengtai District, Beijing, 100070, China.
Siyao Xu *Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, the West Southern 4Th Ring Road, Fengtai District, Beijing, 100070, China.
Shi YaoNational and Local Joint Engineering Research Center of Biodiagnosis and Biotherapy, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, P.R. China.
Jinyuan WengClinical Science, Philips Healthcare, Shanghai, 200235, P.R. China.
Fuqing ZhouDepartment of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi Province, 330006, P.R. China.
Tiantian HuaDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, the West Southern 4Th Ring Road, Fengtai District, Beijing, 100070, China.
Jun SunDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, the West Southern 4Th Ring Road, Fengtai District, Beijing, 100070, China.
Dan ChengDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, the West Southern 4Th Ring Road, Fengtai District, Beijing, 100070, China.
Guanmei CaoDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, the West Southern 4Th Ring Road, Fengtai District, Beijing, 100070, China.
Xinghu ZhangCenter for Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, P.R. China.
Fudong ShiChina National Clinical Research Center for Neurological Diseases, Beijing, 100070, P.R. China.
Tielin YangNational and Local Joint Engineering Research Center of Biodiagnosis and Biotherapy, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, P.R. China.
Sven HallerDepartment of Imaging and Medical Informatics, University Hospitals of Geneva and Faculty of Medicine of the University of Geneva, Geneva, Switzerland.
Andre AltmannCentre for Medical Image Computing Department of Medical Physics and Biomedical Engineering and Department of Computer Science, University College London, London, UK.
Yuehua LiDepartment of Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 201306, P.R. China.
Decai Tian *Center for Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, P.R. China.
Yunyun Duan *Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, the West Southern 4Th Ring Road, Fengtai District, Beijing, 100070, China.
Yaou Liu *Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, the West Southern 4Th Ring Road, Fengtai District, Beijing, 100070, China. liuyaou@bjtth.org.

Funding

Beijing Hospital Management Center-Climb Plan YLBeijing Hospital Management Center Young Talents QML20210505Beijing Municipal Natural Science Foundation for Distinguished Young Scholars JQ20035Beijing Young Scholars YLCapital Medical University Young Scholars Z2202ECTRIMS-MAGNMIS Fellowship from ECTRIMS YLMinistry of Science and Technology of China-National Key Research Project 2022YFC2009904National Science Foundation of China 82202084Young Scientists Program of Beijing Tiantan Hospital, Capital Medical University YSP202205
6 · The paper itself

Abstract

backgroundNeuromyelitis optica spectrum disorders (NMOSD) and multiple sclerosis (MS) are autoimmune demyelinating diseases with overlapping clinical features but distinct patterns of brain and spinal cord atrophy. The precise atrophy subtypes specific to each disease remain elusive. This study aimed to identify shared and distinct atrophy subtypes in NMOSD and MS, using neuroimaging to explore their clinical significance and potential implications for tailored treatment strategies.

methodsClinical and MRI data of 278 AQP4 + NMOSD and 391 MS patients were retrospectively and prospectively collected, alongside 1,065 healthy controls. 3D T1-weighted image derived structural measurements were used in a Subtype and Stage Inference model, to identify distinct brain and spinal cord atrophy subtypes of NMOSD and MS. The clinical characteristics of disease atrophy subtypes and clinical associations of atrophy stage were investigated.

resultsThe results showed that in NMOSD, three atrophy subtypes were identified: (1) cortical subtype with severe cognitive and physical disability; (2) spinal cord subtype with high number of relapses; and (3) cerebellum subtype with a favorable prognosis. In MS, three atrophy subtypes were identified: (1) cortical subtype featuring severe cognitive decline; (2) spinal cord subtype featuring high number of relapses; and (3) subcortical subtype featuring severe physical disability. Advanced stages in MS spinal cord and subcortical atrophy subtypes were associated with severe physical disability and cognitive decline, while advanced stage in all MS subtypes correlated with disability worsening.

conclusionsThese novel imaging subtypes in NMOSD and MS may help interpret disease heterogeneity, develop stratified management, and assess prognosis.

Indexed as

BrainMultiple SclerosisNeuromyelitis OpticaSpinal CordAdultAtrophyFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesRetrospective StudiesBrain and spinal cord atrophyMultiple sclerosisNeuromyelitis optica spectrum disordersSubtype

Identifiers

PMID40898200
PMCPMC12403954

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