Rui Yin, Zhaoxiang Dou, Yanyan Wang, Qian Zhang, Yijun Guo, Yigeng Wang, Ying Chen, Chao Zhang, Huiyang Li, Xiqi Jian, Lisha Qi, Wenjuan Ma
RATIONALE AND OBJECTIVES: Peritoneal recurrence is the predominant pattern of recurrence in advanced ovarian cancer (AOC) and portends a dismal prognosis. Accurate prediction of peritoneal recurrence and disease-free survival (DFS) is crucial to identify patients who might benefit from intensive treatment. We aimed to develop a predictive model for peritoneal recurrence and prognosis in AOC. METHODS: In this retrospective multi-institution study of 515 patients, an end-to-end multi-task convolutional neural network (MCNN) comprising a segmentation convolutional neural network (CNN) and a classification CNN was developed and tested using preoperative CT images, and MCNN-score was generated to indicate the peritoneal recurrence and DFS status in patients with AOC...
April 30, 2024: Academic Radiology