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Article

Predicting glioblastoma molecular subtypes and prognosis with a multimodal model integrating convolutional neural network, radiomics, and semantics.

Journal of neurosurgery - 1 Aug 2023

Zhong Sheng, Ren Jia-Xin, Yu Ze-Peng, Peng Yi-Da, Yu Cheng-Wei, Deng Davy, Xie YangYiran, He Zhen-Qiang, Duan Hao, Wu Bo, Li Hui, Yang Wen-Zhuo, Bai Yang, Sai Ke, Chen Yin-Sheng, Guo Cheng-Cheng, Li De-Pei, Cheng Ye, Zhang Xiang-Heng, Mou Yong-Gao

Abstract excerpt

OBJECTIVE: The aim of this study was to build a convolutional neural network (CNN)-based prediction model of glioblastoma (GBM) molecular subtype diagnosis and prognosis with multimodal features. METHODS: In total, 222 GBM patients were included in the training set from Sun Yat-sen University Cancer Center (SYSUCC) and 107 GBM patients were included in the validation set from SYSUCC, Xuanwu Hospital Capital...

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Identifiers

PMID: 36461822
DOI: 10.3171/2022.10.JNS22801

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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