Computational Pathology for Prediction of Isocitrate Dehydrogenase Gene Mutation from Whole-Slide Images in Adult Patients with Diffuse Glioma

Isocitrate dehydrogenase gene (IDH) mutation is one of the most important molecular markers of glioma. Accurate detection of IDH status is a crucial step for integrated diagnosis of adult-type diffuse gliomas. A clustering-based hybrid of a convolutional neural network (CNN) and a vision transformer (ViT) deep learning model was developed to detect IDH mutation status from annotation-free hematoxylin& eosin-stained whole-slide pathological images (WSIs) of 2275 adult patients with diffuse gliomas.

Source: American Journal of Pathology - February 5, 2024 Category: Pathology Authors: Yuanshen Zhao, Weiwei Wang, Yuchen Ji, Yang Guo, Jingxian Duan, Xianzhi Liu, Dongming Yan, Dong Liang, Wencai Li, Zhenyu Zhang, Zhi-Cheng Li Tags: Regular Article Source Type: research