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

NCT07721675 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 1300

Last updated 2026-07-23

No results posted yet for this study

Summary

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.

Conditions

  • High-grade Serous Ovarian Carcinoma (HGSOC)

Interventions

OTHER

No Intervention: Observational Cohort

This study is an retrospective observational study. There will be no interventions on the participants.

Sponsors & Collaborators

  • Shandong Provincial Hospital

    collaborator OTHER_GOV

  • Yantai Yuhuangding Hospital

    collaborator OTHER

  • Peking University Third Hospital

    collaborator OTHER

  • The Affiliated Hospital of Qingdao University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-08-01
Primary Completion
2027-03-31
Completion
2027-12-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07721675 on ClinicalTrials.gov