Artificial Intelligence Model for Growth Prediction of Ovarian Cancer Organoids

Chongqing University Cancer Hospital

Status: Enrolling

Conditions: Ovarian Cancer

Treatments: Other: growth prediction of ovarian cancer organoids in the frame of bright field image by leveraging AI

Study type: Observational

Funder types: Other

Identifiers

NCT06317610

CQGOG0206

Details and patient eligibility

About

The present study aims to collect early bright field image of patient-derived organoids with ovarian cancer. By leveraging artificial intelligence, this study will seek to construct and refine algorithms that able to predict growth of ovarian cancer organoids.

Enrollment: 100 estimated patients

Sex: Female

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients must have histologically confirmed diagnosis of epithelial ovarian cancer
• Patients received biopsy or puncture to obtain tumor tissues or malignant effusion
• Patients voluntarily participated in the study and signed informed consent.

Exclusion criteria

• Non-epithelial ovarian cancer
• No sufficient amount of tumor tissues or malignant effusion for organoids establishment.