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NCT07088393

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

Active, enrolled Last updated 28 July 2025
What this trial tests

trial in Liver Metastases of Colorectal Cancer in 437 participants. Participants enrolled and being followed up; not accepting new ones.

Timeline
9 July 2025
Primary endpoint
31 December 2025
31 December 2025

Quick facts

Lead sponsorSun Yat-sen University
StatusActive, enrolled
Study typeOBSERVATIONAL
Enrollment437
Start date9 July 2025
Primary completion31 December 2025
Estimated completion31 December 2025
Sites1 location across China

Conditions studied

Sponsor

Sun Yat-sen University

Who can join

Eligibility, any sex, with Liver Metastases of Colorectal Cancer. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other Sun Yat-sen University trials

Trials by the same sponsor.

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Data sources for this page

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