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Article

The application value of support vector machine model based on multimodal MRI in predicting IDH-1mutation and Ki-67 expression in glioma.

BMC medical imaging - 16 Sept 2024

Liang He-Xin, Wang Zong-Ying, Li Yao, Ren An-Ning, Chen Zhi-Feng, Wang Xi-Zhen, Wang Xi-Ming, Yuan Zhen-Guo

Abstract excerpt

PURPOSE: To investigate the application value of support vector machine (SVM) model based on diffusion-weighted imaging (DWI), dynamic contrast-enhanced (DCE) and amide proton transfer- weighted (APTW) imaging in predicting isocitrate dehydrogenase 1(IDH-1) mutation and Ki-67 expression in glioma. METHODS: The DWI, DCE and APTW images of 309 patients with glioma confirmed by pathology were retrospectively...

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Identifiers

PMID: 39285364
DOI: 10.1186/s12880-024-01414-1
PMCID: PMC11403938

Provenance

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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