Clinical trial Recruiting at 1 site Observational Ages 18 and up

Computer-aided tool to predict outcomes after simultaneous colorectal and liver surgery

Official title: A Multi-Reader Multi-Case Controlled Clinical Trial to Evaluate the Performance Improvement From Computer-aided Tool for the Prognostic Prediction of Colorectal Liver Metastases

Run by Cancer Institute and Hospital, Chinese Academy of Medical Sciences · NCT07027605 · Data updated 2026-11-12

This project will test a web-based computer tool that helps doctors predict 1-, 3-, and 5-year recurrence and survival for adults with colorectal cancer who had liver metastases removed at the same time as their primary tumor.

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment166 (estimated)
SponsorCancer Institute and Hospital, Chinese Academy of Medical Sciences
Academic / other
Locations1 site (Beijing, Beijing Municipality)
StatusRecruiting
StartedJanuary 1, 2025
Main results expectedSeptember 20, 2025
Study endsSeptember 25, 2025
Registry record updatedAugust 19, 2025
Trial IDNCT07027605 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults (≥18) with histologically confirmed colorectal adenocarcinoma liver metastases who underwent simultaneous resection of the primary tumor and liver lesions with adequate follow-up data are the cases used in this work.

Probably not a fit

Patients with other active malignancies, insufficient or missing follow-up data, or who did not have simultaneous colorectal and liver resection are unlikely to benefit from this tool.

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

What this trial studies

This multi-reader, multi-case observational study uses 166 retrospective patient cases to compare clinician predictions with and without a web-based Random Forest prognostic tool that integrates demographic, clinical, laboratory, and genetic data. Twelve physicians will independently estimate 1-, 3-, and 5-year recurrence and mortality risks for each case, with the two assessment rounds separated by a washout period. The primary analysis measures whether access to the tool improves accuracy of 3-year postoperative predictions. All cases are from patients who underwent simultaneous colorectal and liver resection at a single tertiary cancer center.

Why it matters

Potential benefit: If successful, the tool could give doctors more accurate personalized estimates of recurrence and survival after simultaneous resection, helping guide treatment choices and follow-up planning.

How similar studies have gone: Machine-learning prognostic models for CRLM have shown promising accuracy in prior publications, but few prior studies have used a multi-reader, multi-case design to test whether such tools actually improve clinician predictions.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* ≥ 18 years old
* confirmation of histologically diagnosed liver metastases of colorectal adenocarcinoma
* receiving colorectal resection with simultaneous liver resection.

Exclusion Criteria:

* presence of other malignancies
* absence of follow-up data
* patients who were followed up postoperatively for less than 5 years and had no occurrences of death.

Where it's running

  • No. 17, South Panjiayuan, Chaoyang District, Beijing, Cancer Hospital, Chinese Academy of Medical Sciences, China
    Beijing, Beijing Municipality, China
    Recruiting

Study contacts

  • Principal investigator: Hong Zhao, MD — Cancer Hospital Chinese Academy of Medical Science
  • Study coordinator: Hong Zhao, Md
  • Email: zhaohong@cicams.ac.cn
  • Phone: +8613381106850

Similar studies

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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.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.