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NCT07392567

Prospective Validation of an AI Model for Predicting Liver Metastasis in Colorectal Cancer

Recruiting now Last updated 6 February 2026
What this trial tests

trial testing Multimodal Deep Learning Prediction Model in Colorectal Cancer Liver Metastasis in 160 participants. Currently enrolling.

Timeline
30 January 2026
Primary endpoint
30 January 2028
30 January 2029

Quick facts

Lead sponsorTongji Hospital
StatusRecruiting now
Study typeOBSERVATIONAL
Enrollment160
Start date30 January 2026
Primary completion30 January 2028
Estimated completion30 January 2029
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Tongji Hospital

Who can join

Adults 18 to 75, any sex, with Colorectal Cancer Liver Metastasis. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

This is a prospective, multicenter, observational study designed to validate the predictive accuracy of a pre-developed multimodal deep learning model. The model integrates preoperative contrast-enhanced CT scans, digitized postoperative pathology images, and standard clinical data to estimate the risk of liver metastasis within two years after curative surgery in patients with stage I-III colorectal cancer. The primary objective is to evaluate the model's performance in an independent, prospectively enrolled patient cohort. Participants will receive standard-of-care treatment according to clinical guidelines. The study involves no experimental interventions; it solely involves the collection and analysis of routinely generated clinical data. The goal is to assess the model's potential for clinical translation by providing a reliable tool for stratifying patients' risk of liver metastasis, which could inform personalized surveillance strategies.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other Tongji Hospital trials

Trials by the same sponsor.

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Data sources for this page

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