Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging.

doi:10.1158/1078-0432.CCR-17-2236

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Article

Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging.

Clinical cancer research : an official journal of the American Association for Cancer Research - 1 Mar 2018

Chang Ken, Bai Harrison X, Zhou Hao, Su Chang, Bi Wenya Linda, Agbodza Ena, Kavouridis Vasileios K, Senders Joeky T, Boaro Alessandro, Beers Andrew, Zhang Biqi, Capellini Alexandra, Liao Weihua, Shen Qin, Li Xuejun, Xiao Bo, Cryan Jane, Ramkissoon Shakti, Ramkissoon Lori, Ligon Keith, Wen Patrick Y, Bindra Ranjit S, Woo John, Arnaout Omar, Gerstner Elizabeth R, Zhang Paul J, Rosen Bruce R, Yang Li, Huang Raymond Y, Kalpathy-Cramer Jayashree

Abstract excerpt

Purpose: Isocitrate dehydrogenase (IDH) mutations in glioma patients confer longer survival and may guide treatment decision making. We aimed to predict the IDH status of gliomas from MR imaging by applying a residual convolutional neural network to preoperative radiographic data.Experimental Design: Preoperative imaging was acquired for 201 patients from the Hospital of University of Pennsylvania (HUP), 157...

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PMID: 29167275
DOI: 10.1158/1078-0432.CCR-17-2236
PMCID: PMC6051535

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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