Trials / Active Not Recruiting
Active Not RecruitingNCT07088393
Artificial Intelligence Diagnosis of Different Histopathological Growth Patterns of Colorectal Cancer Liver Metastasis
- Status
- Active Not Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 437 (actual)
- Sponsor
- Sun Yat-sen University · Academic / Other
- Sex
- All
- Age
- —
- Healthy volunteers
- Not accepted
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.
Conditions
Timeline
- Start date
- 2025-07-09
- Primary completion
- 2025-12-31
- Completion
- 2025-12-31
- First posted
- 2025-07-28
- Last updated
- 2025-07-28
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT07088393. Inclusion in this directory is not an endorsement.