Artificial Intelligence Diagnosis of Different Histopathological Growth Patterns of Colorectal Cancer Liver Metastasis
NCT ID: NCT07088393
Last Updated: 2025-07-28
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
437 participants
OBSERVATIONAL
2025-07-09
2025-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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CASE_ONLY
PROSPECTIVE
Study Groups
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Colorectal cancer liver metastasis cohort
A total of 437 cases of colorectal cancer liver metastasis patients who underwent liver metastasis tumor resection were selected, with a total of 1205 tumor lesions. Pathological HE sections were retrieved and a predictive model was constructed. Among them, 301 cases were in the training set and 106 cases were in the validation set. After constructing the model, it was used to prospectively interpret 30 lesions. The interpretation result of a senior pathologist with a high professional title was taken as the standard to evaluate the accuracy and interpretation time of the model.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Confirmed by a pathologist as having liver metastases from colorectal cancer;
Exclusion Criteria
ALL
No
Sponsors
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Sun Yat-sen University
OTHER
Responsible Party
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Yanhong Deng
Principal Investigator
Locations
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Sixth Affiliated Hospital, Sun Yat-sen University
Guangzhou, Guangdong, China
Countries
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Other Identifiers
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2023ZSLYEC-256
Identifier Type: -
Identifier Source: org_study_id
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