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

NCT06448897 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 4000

Last updated 2024-06-07

No results posted yet for this study

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

Sponsors & Collaborators

  • Obstetrics & Gynecology Hospital of Fudan University

    lead OTHER

Eligibility

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

Timeline & Regulatory

Start
2024-02-01
Primary Completion
2025-12-31
Completion
2025-12-31

Countries

  • China

Study Locations

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Entities

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 NCT06448897 on ClinicalTrials.gov