Artificial Intelligence-guided Precision Treatment of High-grade Serous Ovarian Carcinoma

The subjects of this study are patients with high-grade serous ovarian cancer who have undergone surgical resection. The aim is to construct an artificial intelligence model for predicting postoperative recurrence, metastasis and overall survival of patients based on multimodal data such as surgical pathological images (HE images and IHC images of immune microenvironment-related markers), preoperative baseline imaging data and detailed clinical information of patients. In addition, multi-omics sequencing analysis will be used to deeply explore the heterogeneity of the tumor microenvironment, with the expectation of quantifying the postoperative recurrence risk of patients with high-grade serous ovarian cancer and providing new ideas for the precise diagnosis and treatment of patients with high-grade serous ovarian cancer.

NCT Number	NCT07721675
Lead Sponsor	The Affiliated Hospital of Qingdao University Collaborators: Shandong Provincial Hospital, Yantai Yuhuangding Hospital, Peking University Third Hospital
Conditions	High-grade Serous Ovarian Carcinoma (HGSOC)
Enrollment	1,300 participants
Start Date	2026-08-01
Primary Completion	2027-03-31 (estimated)
Study Completion	2027-12-31 (estimated)
Updated on ClinicalTrials.gov	2026-07-23