Actively Recruiting
AI-Based Prediction of Liver Metastasis in Colorectal Cancer (A Retrospective Study)
Led by Tongji Hospital · Updated on 2026-02-10
1500
Participants Needed
1
Research Sites
578 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
This multicenter, retrospective study aims to develop and validate a multimodal deep learning model for predicting the risk of metachronous liver metastasis in patients with stage I-III colorectal cancer following curative resection. The model will integrate preoperative contrast-enhanced CT imaging, digitized histopathological whole-slide images, and standard clinical-pathological data. The primary objective is to assess the model's discriminatory performance, measured by the area under the receiver operating characteristic curve (AUC), and to compare its predictive accuracy against traditional prognostic factors such as TNM staging and serum carcinoembryonic antigen levels. This research utilizes existing archival data; no direct patient contact or intervention is involved. The ultimate goal is to provide a robust, data-driven tool for improved risk stratification, which could potentially guide personalized surveillance strategies and adjuvant therapy decisions in the future.
CONDITIONS
Official Title
AI-Based Prediction of Liver Metastasis in Colorectal Cancer (A Retrospective Study)
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age between 18 and 75 years
- Histological confirmation of primary colon or rectal adenocarcinoma
- Underwent curative radical (R0) resection for colorectal cancer
- Preoperative contrast-enhanced abdominal or pelvic CT scan performed within 1 month before surgery with acceptable image quality
- No evidence of distant metastasis, including synchronous liver metastasis, before or during surgery
You will not qualify if you...
- History of other malignant tumors
- Previous liver surgery or liver transplantation
- Missing clinical, imaging, or pathological data needed for the study
- Death within 30 days after surgery (perioperative period)
- Lack of regular follow-up information
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Tongji Hospital
Wuhan, Hubei, China
Actively Recruiting
Research Team
Y
Yang wu, M.D.
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
1
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