AI-based prediction of liver metastasis after colorectal cancer surgery

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This retrospective analysis uses existing clinical records, preoperative contrast-enhanced CT images, and digitized histopathology whole-slide images to build a multimodal deep learning model for predicting metachronous liver metastasis after curative resection. The model's discriminative performance will be measured by area under the ROC curve (AUC) and compared against conventional prognostic factors such as TNM stage and serum CEA. Only archival data are used, so there is no patient contact or intervention. The goal is to create a validated, data-driven risk stratification tool that could inform personalized surveillance and adjuvant treatment decisions if further prospective validation supports its use.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Age 18-75 years, any gender.
* Histologically confirmed primary colon or rectal adenocarcinoma.
* Underwent curative radical resection (R0 resection) for colorectal cancer.
* Preoperative contrast-enhanced abdominal/pelvic CT scan performed within 1 month before surgery, with acceptable image quality.
* No evidence of distant metastasis (including synchronous liver metastasis) on preoperative or intraoperative exploration.

Exclusion Criteria:

* History of other malignant tumors.
* Previous history of liver surgery or liver transplantation.
* Missing clinical, imaging, or pathological data required for the study.
* Death within the perioperative period (within 30 days after surgery).
* Lack of regular follow-up information.

Where it's running

• Tongji Hospital
  Wuhan, Hubei, China Recruiting

Study contacts

• Study coordinator: Yang wu, M.D.
• Email: 255001907@qq.com
• Phone: 13636076910

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.