RecruitingNCT07399236

AI-Based Prediction of Liver Metastasis in Colorectal Cancer (A Retrospective Study)

A Multicenter, Retrospective, Observational Study to Develop and Validate a Multimodal Deep Learning Model for Predicting Metachronous Liver Metastasis in Colorectal Cancer Patients After Curative Resection

Sponsor

Tongji Hospital

Enrollment

1,500 participants

Start Date

Jan 1, 2015

Study Type

OBSERVATIONAL

Conditions

Colorectal Cancer Liver Metastases (CRLM)

Summary

This multicenter, retrospective study aims to develop and validate a multimodal deep learning model for predicting the risk of metachronous liver metastasis in patients with stage I-III colorectal cancer following curative resection. The model will integrate preoperative contrast-enhanced CT imaging, digitized histopathological whole-slide images, and standard clinical-pathological data. The primary objective is to assess the model's discriminatory performance, measured by the area under the receiver operating characteristic curve (AUC), and to compare its predictive accuracy against traditional prognostic factors such as TNM staging and serum carcinoembryonic antigen levels. This research utilizes existing archival data; no direct patient contact or intervention is involved. The ultimate goal is to provide a robust, data-driven tool for improved risk stratification, which could potentially guide personalized surveillance strategies and adjuvant therapy decisions in the future.

Eligibility

Min Age: 18 YearsMax Age: 75 Years

Plain Language Summary

Simplified for easier understanding

This retrospective (records-based) study is using artificial intelligence to analyze CT scan images taken before colorectal cancer surgery, to predict which patients are at high risk of developing liver metastasis (cancer spread to the liver) after curative surgery. The AI model will be trained on past patient data to learn patterns that doctors might not easily detect. **You may be eligible if...** - You are between 18 and 75 years old - You have been diagnosed with colon or rectal cancer confirmed by biopsy - You underwent curative surgery (R0 resection — no cancer left behind) for colorectal cancer - You had a high-quality CT scan of the abdomen/pelvis within 1 month before surgery - You had no evidence of cancer spread at the time of surgery **You may NOT be eligible if...** - You had poor CT image quality - You had cancer that had already spread at the time of surgery - You had prior surgery or treatment for colorectal cancer recurrence Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

OTHERMultimodal Deep Learning Model Analysis

This is a non-interventional study. The primary study procedure is the application of a multimodal deep learning model to retrospectively analyze existing clinical data (contrast-enhanced CT images, digitized pathology slides, and structured clinical variables) for the purpose of predicting the risk of metachronous liver metastasis. No therapeutic or diagnostic interventions are administered to participants as part of this research protocol.

Locations(1)

Tongji Hospital

Wuhan, Hubei, China

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NCT07399236

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