Condition: Colorectal Cancer Liver Metastasis · Sponsor: Tongji Hospital
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.
This description comes directly from the study's public registry record.
Yang WU, M.D. · 13636076910 · 255001907@qq.com
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| Tongji Hospital | Wuhan, Hubei, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07392567