Clinical Trial

Artificial Intelligence Diagnosis of Different Histopathological Growth Patterns of Colorectal Cancer Liver Metastasis

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Record status
This record was last updated July 28, 2025 (before its estimated December 31, 2025 completion). Its status may not reflect the trial's current state.
Summary
This study selected cases of colorectal cancer liver metastasis patients who underwent liver metastasis tumor resection, retrieved the pathological HE sections of the metastatic lesions, and constructed a predictive model. AI software was applied to delineate different types of regions, achieving full automation of HGP prediction and constructing a predictive model. Statistical analysis was conducted on the classification of histopathological growth patterns (HGP) of liver metastasis and the survival prognosis of patients, and the differences in prognosis among different HGP classification methods were compared. This provides a new method for judging prognosis and treatment for clinical treatment of colorectal cancer liver metastasis patients.
Trial Details
NCT Number NCT07088393
Lead Sponsor Sun Yat-sen University
Conditions Liver Metastases of Colorectal Cancer
Enrollment 437 participants
Start Date 2025-07-09
Primary Completion 2025-12-31 (estimated)
Study Completion 2025-12-31 (estimated)
Updated on ClinicalTrials.gov 2025-07-28