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Article

Machine learning-based quantitative texture analysis of conventional MRI combined with ADC maps for assessment of IDH1 mutation in high-grade gliomas.

Japanese journal of radiology - 1 Feb 2020

Alis Deniz, Bagcilar Omer, Senli Yeseren Deniz, Yergin Mert, Isler Cihan, Kocer Naci, Islak Civan, Kizilkilic Osman

Abstract excerpt

PURPOSE: To assess the performance of texture analysis of conventional magnetic resonance imaging (MRI) and apparent diffusion coefficient (ADC) maps in predicting IDH1 status in high-grade gliomas (HGG). MATERIALS AND METHODS: A total of 142 patients with HGG were included in the study. IDH1 mutation was present in 48 of 142 HGG (33.8%). Patients were randomly divided into the training cohort (n = 96) and the...

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PMID: 31741126
DOI: 10.1007/s11604-019-00902-7

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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