Shaoxu Wu, Yun Wang, Guibin Hong, Yun Luo, Zhen Lin, Runnan Shen, Hong Zeng, Abai Xu, Peng Wu, Mingzhao Xiao, Xiaoyang Li, Peng Rao, Qishen Yang, Zhengyuan Feng, Quanhao He, Fan Jiang, Ye Xie, Chengxiao Liao, Xiaowei Huang, Rui Chen, Tianxin Lin
BACKGROUND: The pathological examination of lymph node metastasis (LNM) is crucial for treating prostate cancer (PCa). However, the limitations with naked-eye detection and pathologist workload contribute to a high missed-diagnosis rate for nodal micrometastasis. We aimed to develop an artificial intelligence (AI)-based, time-efficient, and high-precision PCa LNM detector (ProCaLNMD) and evaluate its clinical application value. METHODS: In this multicentre, retrospective, diagnostic study, consecutive patients with PCa who underwent radical prostatectomy and pelvic lymph node dissection at five centres between Sep 2, 2013 and Apr 28, 2023 were included, and histopathological slides of resected lymph nodes were collected and digitised as whole-slide images for model development and validation...
May 2024: EClinicalMedicine