Evidence map›Paper›PMID 40240399›Full record

ArticleScientific reports2025

Cortical thickness deviations as biomarker for subtyping and prognosis in pediatric brainstem tumors.

Heyuan Jia, Kaikai Wang, Peng Zhang, Mingxin Zhang, Yiying Mai, Congying Chu, Xuntao Yin, Lingzhong Fan, Liwei Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Heyuan JiaSchool of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China.
Kaikai WangBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Peng ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Mingxin ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yiying MaiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Congying ChuBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Xuntao YinDepartment of Radiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Lingzhong FanBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. lingzhong.fan@ia.ac.cn.
Liwei ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. zhangliweittyy@163.com.

Funding

Beijing Municipal Public Welfare Development and Reform Pilot Project for Medical Research Institutes JYY202X-Xthe STI2030-Major Projects 2021ZD0200201
6 · The paper itself

Abstract

Brainstem tumors exert profound effects on cortical organization and functionality across the whole brain. However, the precise implications of changes in cortical thickness (CTh) for patient stratification and prognostic assessment remain unclear. Our study seeks to address these gaps and provide clearer insights into the distant impact of brainstem tumors. This study involved 124 pediatric patients with brainstem tumors and 849 healthy controls. Using CAT12 segmentation on 3D T1-weighted MRI scans and Gaussian process regression modeling, we established a normative CTh model from healthy data. CTh deviations of patients were quantified and clustered, revealing two distinct subtypes: Subtype 1 with extremely positive deviations and Subtype 2 with extremely negative deviations, correlating with better survival. Kaplan-Meier analysis confirmed significant survival differences between these subtypes. Additionally, a greater number of brain regions with positive CTh deviations was found to correlate with larger tumor volumes. These findings suggest that CTh deviation is a non-invasive imaging marker, facilitating patient subtyping and survival prediction. These insights equip clinicians to tailor treatment plans and establishes a valuable precision medical tool for clinical evaluation and monitoring.

Indexed as

Brain Stem NeoplasmsCerebral CortexAdolescentChildChild, PreschoolFemaleHumansInfantKaplan-Meier EstimateMagnetic Resonance ImagingMalePrognosisBrainstem tumorsCortical thicknessNormative modelSubtype classificationTumor growth pattern

Identifiers

PMID40240399
PMCPMC12003633

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