Status:
NOT_YET_RECRUITING
A Prospective Cohort Study Comparing AI Prediction Model With Imaging Assessment to Diagnose Lymph Node Metastasis in Cervical Cancer
Lead Sponsor:
Obstetrics & Gynecology Hospital of Fudan University
Conditions:
Uterine Cervical Neoplasms
Eligibility:
FEMALE
18-80 years
Phase:
NA
Brief Summary
The goal of this prospective cohort study is to learn whether artificial intelligence multimodal fusion prediction models are effective in diagnosing pelvic lymph node metastasis in cervical cancer. T...
Eligibility Criteria
Inclusion
- Inclusion criteria:
- patients with preoperative diagnosis of invasive cervical cancer stage I-III, with any type of pathology, and patients who underwent radical/modified radical cervical cancer surgery + pelvic lymph node dissection in our hospital or sub-center;
- Age ≥18 years and ≤80 years;
- patients who underwent preoperative pelvic MRI (plain/enhanced) imaging in our hospital or sub-centers.
- Exclusion criteria:
- patients during pregnancy or lactation, patients with abortion within 42 days;
- patients who are undergoing or have undergone preoperative neoadjuvant chemotherapy or radiotherapy for this cervical cancer;
- Patients with other malignant tumors within 5 years;
- Combination of other underlying diseases that may lead to enlarged pelvic lymph nodes;
- patients whose preoperative pelvic MRI date is more than 1 month from the day of surgery;
- poor quality imaging images that are unrecognizable.
Exclusion
Key Trial Info
Start Date :
August 1 2024
Trial Type :
INTERVENTIONAL
Allocation :
ESTIMATED
End Date :
December 1 2027
Estimated Enrollment :
230 Patients enrolled
Trial Details
Trial ID
NCT06541288
Start Date
August 1 2024
End Date
December 1 2027
Last Update
August 7 2024
Active Locations (1)
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1
The Obstetrics and Gynecology Hospital of Fudan University
Shanghai, Shanghai Municipality, China, 200090