NCT06448897

Development of an Imaging Prediction Model for Pelvic Lymph Node Metastasis of Cervical Cancer Using Artificial Intelligence Techniques.

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 4,000 (estimated)
• Sponsor: Obstetrics & Gynecology Hospital of Fudan University · Academic / Other
• Sex: Female
• Age: 18 Years – 80 Years
• Healthy volunteers: Not accepted

Summary

This study is a retrospective exploratory trial conducted at a single center, aiming to develop and validate a preoperative lymphatic metastasis model for cervical cancer using artificial intelligence deep learning. The model is trained using preoperative imaging and postoperative pathological findings of cervical cancer patients, with the goal of enhancing the accuracy of lymphatic metastasis prediction through preoperative imaging and offering insights for treatment decisions.

Conditions

• Cervical Cancer
• Lymph Node Metastasis
• Artificial Intelligence

Timeline

• Start date: 2024-02-01
• Primary completion: 2025-12-01
• Completion: 2025-12-01
• First posted: 2024-06-07
• Last updated: 2024-06-07

Locations

1 site across 1 country: China