A Prospective Cohort Study Comparing AI Prediction Model With Imaging Assessment to Diagnose Lymph Node Metastasis in Cervical Cancer

NANot yet recruitingINTERVENTIONAL
Enrollment

230

Participants

Timeline

Start Date

August 31, 2024

Primary Completion Date

December 31, 2027

Study Completion Date

December 31, 2027

Conditions
Uterine Cervical Neoplasms
Interventions
DIAGNOSTIC_TEST

AI Prediction Model

Pelvic MRI was performed after pathologic diagnosis clarified the diagnosis of cervical cancer. Further pelvic lymph node metastasis status was determined by artificial intelligence multimodal fusion prediction modeling

DIAGNOSTIC_TEST

Conventional Imageing Assessment

Pelvic MRI was performed after pathologic diagnosis clarified the diagnosis of cervical cancer.Further pelvic MRI images are read by a specialized imaging physician to determine pelvic lymph node status.

Trial Locations (1)

200090

The Obstetrics and Gynecology Hospital of Fudan University, Shanghai

All Listed Sponsors
lead

Obstetrics & Gynecology Hospital of Fudan University

OTHER

NCT06541288 - A Prospective Cohort Study Comparing AI Prediction Model With Imaging Assessment to Diagnose Lymph Node Metastasis in Cervical Cancer | Biotech Hunter | Biotech Hunter