Evidence map›Paper›PMID 39658685›Full record

ArticleEuropean radiology2025

A predictive model for cerebellar mutism syndrome based on lesion map in children with medulloblastoma.

Wei Yang, Sikang Ren, Yiming Li, Yingjie Cai, Xiaojiao Peng, Hailang Sun, Jiashu Chen, Xinyi Chai, Hong Zhang, Kaiyi Zhu and 3 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

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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

13 authors.

Wei Yang *Department of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Sikang Ren *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Yiming Li *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Yingjie CaiDepartment of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Xiaojiao PengDepartment of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Hailang SunDepartment of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Jiashu ChenDepartment of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Xinyi ChaiDepartment of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Hong ZhangDepartment of Image Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Kaiyi ZhuDepartment of Cardiology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, 030032, Taiyuan, China.
Wenping MaDepartment of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China. mawenping@bjmu.edu.cn.
Yongji TianDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China. tianyongji@bjtth.org.
Ming GeDepartment of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China. ming_ge@126.com.ORCID http://orcid.org/0000-0002-4476-4331

Funding

Beijing Hospital's Authority Clinical Medicine Development of Special Funding No. XMLX202144National Natural Science Foundation of China No. 82101993
6 · The paper itself

Abstract

backgroundThis study aimed to establish a voxel-based map to predict the occurrence of cerebellar mutism syndrome (CMS) and investigate the relationship between CMS and motor dysfunction.

methodThis multicenter study cohort included 224 patients diagnosed with medulloblastoma at Beijing Children's Hospital (n = 88) and Beijing Tiantan Hospital (n = 136). The dataset was randomly divided into training (n = 95), test (n = 41), and validation (n = 88) datasets. Voxel-based lesion-symptom mapping (VLSM) was used to identify the corresponding tumoral voxels for CMS and motor dysfunction. A prediction model was constructed based on the VLSM results.

resultsThe two cohorts showed significant differences in hydrocephalus (58.0 vs. 32.4%, p < 0.001), paraventricular edema (83.0 vs. 59.6%, p < 0.001), and presurgical ventricular-peritoneal shunt placement (53.7 vs. 10.2%, p < 0.001). The CMS group had a significantly higher rate of hydrocephalus than the non-CMS group (54.6 vs. 33.1%; p = 0.002). VLSM revealed that the left inferior cerebellar peduncle (32.26%), right dentate gyrus (24.23%), and right X lobule (21.79%) were the most impaired structures associated with CMS. CMS-related areas overlapped with motor planning and verbal fluency regions, while areas associated with motor dysfunction overlapped with motor planning. The prediction model achieved areas under the curve of 0.733, and 0.702 for the testing and external validation datasets, respectively.

conclusionsVLSM-based models are used to predict CMS occurrence prior to surgery. CMS was related to motor planning and verbal fluency regions of the cerebellum. Motor dysfunction was associated with CMS functionally. KEY POINTS: Question Cerebellar mutism syndrome (CMS) is a severe postoperative complication of medulloblastoma for which the specific responsible anatomical correlates remain unclear. Findings We identified areas associated with CMS in Voxel-based Lesion-Symptom Mapping (VLSM), which were used to establish the CMS predicting model. Clinical relevance VLSM analysis helps develop a reliable predictive model for CMS and explore its association with motor dysfunction, The establishment of this model will facilitate the prediction of CMS in clinical practice.

Indexed as

Cerebellar NeoplasmsMagnetic Resonance ImagingMedulloblastomaMutismAdolescentChildChild, PreschoolFemaleHumansInfantMaleRetrospective StudiesSyndromeAkinetic mutismCerebellumMedulloblastomaModels

Identifiers

PMID39658685

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.