Evidence map›Paper›PMID 42317657›Full record

ArticleFrontiers in pediatrics2026

Clinical application of diffusion tensor tractography in classification of pediatric optic chiasmatic gliomas: a retrospective cohort study.

Ping Yang, Yuting Liang, Jiashu Chen, Zhuo Zhi, Wei Yang, Jia Wang, Chen Liang, Xiaojiao Peng, Yingjie Cai, Yuanqi Ji and 2 more

Abstract read
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Article in Frontiers in pediatrics, 2026. 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

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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

12 authors.

Ping Yang *Department of Neurosurgery, Beijing Children's Hospital Capital Medical University, Beijing, China.
Yuting Liang *Department of Pediatrics, Beijing Haidian Maternal and Child Health Hospital, Beijing, China.
Jiashu ChenDepartment of Neurosurgery, Beijing Children's Hospital Capital Medical University, Beijing, China.
Zhuo ZhiDepartment of Neurosurgery, Beijing Children's Hospital Capital Medical University, Beijing, China.
Wei YangDepartment of Neurosurgery, Beijing Children's Hospital Capital Medical University, Beijing, China.
Jia WangDepartment of Neurosurgery, Beijing Children's Hospital Capital Medical University, Beijing, China.
Chen LiangDepartment of Neurosurgery, Beijing Children's Hospital Capital Medical University, Beijing, China.
Xiaojiao PengDepartment of Neurosurgery, Beijing Children's Hospital Capital Medical University, Beijing, China.
Yingjie CaiDepartment of Neurosurgery, Beijing Children's Hospital Capital Medical University, Beijing, China.
Yuanqi JiDepartment of Neurosurgery, Beijing Children's Hospital Capital Medical University, Beijing, China.
Wenping MaDepartment of Neurosurgery, Beijing Children's Hospital Capital Medical University, Beijing, China.
Ming GeDepartment of Neurosurgery, Beijing Children's Hospital Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The classification based on diffusion tensor tractography (DTT) has already been applied to the assessment of the optic chiasmatic glioma (OCGs), but the value of clinical application remains controversial. This study aimed to evaluate the predictive value of DTT classification for clinical phenotypes and to investigate the prognostic factors in children with OCGs. Methods: A total of 53 patients with OCGs diagnosed and admitted between July 2015 and November 2022 were included. Clinical parameters were collected from medical records. The prognosis analysis comprised clinical, endocrinologic, ophthalmologic and pathologic during different time spans. On DTT images, the tumors were divided into the inflating endophytic type, the inflating exogenous type, and the infiltrative endophytic type based on DTT features. Regression analysis detected the evaluation of classifications which was assessed by determining age, gender, weight, diencephalic syndrome diagnosis record, vision-related data, endocrine-related indicators, surgery related indicators, survival data, chemotherapy, and radiotherapy. Results: We observed that the proportion of males in the inflating exogenous type patients (10%) was significantly lower than other two types. The inflating endophytic type patients (median 9.5 kg, 4.2∼25.4 kg) had lower body weight at surgery than other two types, as well as higher prevalence of diencephalic syndrome (DS). Postoperative chemotherapy demonstrated a statistically significant protective effect on OS and EFS ( Conclusion: The DTT-based classification effectively identifies the inflating endophytic subtype, which is associated with a high incidence of diencephalic syndrome, and serves as a valuable tool for preoperative surgical guidance. Combined adjuvant chemotherapy represents a decisive therapeutic strategy that significantly prolongs long-term prognosis in pediatric OCG patients.

Indexed as

brain tumordiencephalic syndromediffusion tensor tractographyoptic chiasmatic gliomasprognosis factors

Identifiers

PMID42317657
PMCPMC13272171

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