Actively Recruiting
Development of an Imaging Prediction Model for Pelvic Lymph Node Metastasis of Cervical Cancer Using Artificial Intelligence Techniques.
Led by Obstetrics & Gynecology Hospital of Fudan University · Updated on 2024-06-07
4000
Participants Needed
1
Research Sites
95 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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
Official Title
Development of an Imaging Prediction Model for Pelvic Lymph Node Metastasis of Cervical Cancer Using Artificial Intelligence Techniques.
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients with a preoperative diagnosis of invasive cervical cancer stage I-III, any pathology type, who underwent radical or modified radical cervical cancer surgery plus pelvic lymph node dissection at the hospital
- Age between 18 and 80 years old
- Patients with complete preoperative pelvic MRI images and postoperative pathology and clinical data at the hospital
You will not qualify if you...
- Patients who are pregnant, breastfeeding, or within 42 days of abortion
- Patients who received neoadjuvant chemotherapy or radiotherapy before surgery for cervical cancer
- Patients with other malignant tumors within the past 5 years
- Patients with other underlying diseases that may cause enlarged pelvic lymph nodes
- Imaging reports older than 1 month prior to surgery
- Patients with poor quality or unrecognizable imaging
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
The Obstetrics and Gynecology Hospital of Fudan University
Shanghai, Shanghai Municipality, China, 200090
Actively Recruiting
Research Team
X
Xin Wu
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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