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

Brief summary (registry, in English)

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.

What you commit to

• Study type: Observational
• Planned participants: 1300
• From 1 Aug 2026 to the primary completion date, 31 Mar 2027
• No sites listed in no country
• Visits and tests: ask the trial team, the registry does not list them

Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.

Who cannot take part

Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.

Who the study is looking for

Age in the registry: 18 years to 80 years · Sex: Female · Does not accept healthy volunteers

Full criteria on ClinicalTrials.gov