Xinke Zhang, Zihan Zhao, Ruixuan Wang, Haohua Chen, Xueyi Zheng, Lili Liu, Lilong Lan, Peng Li, Shuyang Wu, Qinghua Cao, Rongzhen Luo, Wanming Hu, Shanshan Lyu, Zhengyu Zhang, Dan Xie, Yaping Ye, Yu Wang, Muyan Cai
Accurate intraoperative differentiation of primary central nervous system lymphoma (PCNSL) remains pivotal in guiding neurosurgical decisions. However, distinguishing PCNSL from other lesions, notably glioma, through frozen sections challenges pathologists. Here we sought to develop and validate a deep learning model capable of precisely distinguishing PCNSL from non-PCNSL lesions, especially glioma, using hematoxylin and eosin (H&E)-stained frozen whole-slide images. Also, we compared its performance against pathologists of varying expertise...
May 4, 2024: Nature Communications