Evidence map›Paper›PMID 41458090›Full record

ArticleFrontiers in pediatrics2025

First establishment of population-specific brain volume reference standards for Chinese children and adolescents: an AI-based segmentation study.

Hangchen Qian, Jingyun Liao, Jihao Cheng

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 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

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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

3 authors.

Hangchen QianDepartment of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Jingyun LiaoDepartment of Radiology, Affiliated Xiaoshan Hospital of Hangzhou Normal University, Hangzhou, China.
Jihao ChengDepartment of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To establish the first AI-based, population-specific reference standards for brain structural volumes in healthy Chinese children and adolescents, and to elucidate unique developmental trajectories that may differ from existing Western norms. Methods: In this cross-sectional study, 1,100 healthy participants aged 6-18 years were enrolled. T1-weighted images were acquired using a 3.0T MRI scanner, and regional brain volumes were quantified using an AI-based automated segmentation tool. Multiple comparisons were corrected using the false discovery rate (FDR) method. Differences in brain volume by sex, age, and hemisphere, as well as correlations with age, were analyzed. Results: After controlling for age, males exhibited larger total intracranial volume ( Conclusion: This study is the first to establish reference values for brain volume in healthy Chinese children and adolescents aged 6-18 years using AI-based automated segmentation. It reveals sex- and age-related differences in brain structural development, thereby providing a valuable quantitative reference for future research on brain development deviations. These population-specific standards may provide a theoretical foundation for improving diagnostic accuracy in Chinese children, though their actual utility in reducing misclassification requires future empirical validation.

Indexed as

automated brain segmentationbrain structure volumechildren and adolescentsdevelopmental neurosciencemagnetic resonance imaging (MRI)

Identifiers

PMID41458090
PMCPMC12740930

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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.