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- Title
Clinical characteristics and prognostic factors of surgical treatment in children with brainstem tumor.
- Authors
HE, Y.-Z.; ZHOU, Q.; DENG, W.-Y.; HUANG, L.-Y.; LU, Y.-Y.; RUAN, Y.-Y.; DU, H.
- Abstract
OBJECTIVE: Brainstem tumors present a significant challenge in surgical treatment, and the prognostic factors in children are lacking. This study aimed to investigate clinical characteristics and prognostic factors of surgical treatment in children with brainstem tumors. PATIENTS AND METHODS: 50 children with brainstem tumors who underwent surgical treatment, including frameless- or frame-based stereotactic biopsy and resection, were included and followed up for clinical and biological analysis. Factors of outcomes were assessed by univariate and multivariate analysis. RESULTS: 27 cases (54.0%) underwent resection in all children with brainstem tumors. The rate of resection reached as high as 81.8% in children with non-diffuse intrinsic pontine glioma (DIPG), while in children with DIPG, biopsy was performed in the majority, and resection was obtained in the minority with focal necrosis. A rare complication was found following the surgery. Multivariate analysis considered World Health Organization (WHO) grade 3-4, with hazard ratio (HR)=4.48, 95% confidence interval (CI) of 2.84-8.69, p=0.001, H3K27M mutation (HR=2.50, 95% CI 1.73-5.69, p=0.015), and hydrocephalus (HR=2.17, 95% CI 1.08-5.32, p=0.014) as independent adverse prognostic factors. For Kaplan-Meier analysis, children with WHO grade 3-4, Ki-67 LI = 20%, TP53 mutation, H3K27M mutation, DIPG, and hydrocephalus had significantly decreased overall survival (OS). CONCLUSIONS: A high rate of resection has been obtained in non-DIPG, and surgical intervention is remarkably safe and efficient for children with brainstem tumors. WHO grade 3-4, H3K27M mutation, and hydrocephalus indicate poor prognosis in children with brainstem tumors.
- Subjects
WORLD Health Organization; PROGNOSIS; TUMORS in children; STEREOTAXIC techniques; MULTIVARIATE analysis; OVERALL survival; UNIVARIATE analysis
- Publication
European Review for Medical & Pharmacological Sciences, 2023, Vol 27, Issue 22, p10926
- ISSN
1128-3602
- Publication type
Article