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

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 Desig...

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Published inClinical cancer research Vol. 24; no. 5; pp. 1073 - 1081
Main Authors 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
Format Journal Article
LanguageEnglish
Published United States American Association for Cancer Research Inc 01.03.2018
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