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 and a vision transformer deep learning model was developed to detect IDH mutation status from annotation-free hematoxylin and eosin –stained whole slide pathologic images of 2275 adult patients with diffuse gliomas. For comparison, we also assessed a pure convolutional neural network, a pure vision transformer, and a classic multiple-instance learning model.

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