Actively Recruiting

Age: 18Years +
All Genders
ID07385521

Artificial Intelligence to Predict Recurrence of Colorectal Cancer Liver Metastases After Liver Resection: A Retrospective Observational Study

Led by Francesco De Cobelli · Updated on 2026-02-04

1000

Participants Needed

1

Research Sites

52 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

Colorectal cancer is a common and serious cancer worldwide, with survival mainly depending on disease stage and metastases presence. This research aims to evaluate whether a machine learning model that includes clinical and radiomic data can identify patients with colorectal cancer liver metastases who have a high risk of disease progression after chemotherapy and recurrence after liver resection. The study focuses on improving treatment allocation by predicting outcomes better than current methods. The study involves patients with colorectal cancer liver metastases who have undergone liver resection with or without liver ablation, combined with perioperative chemotherapy before, after, or both. This is an observational, retrospective study using data collected from medical records and imaging. The research will apply artificial intelligence techniques to analyze clinical and radiological information, especially from CT and MRI scans, to predict recurrence and chemotherapy response. Participants' data will be analyzed to develop machine learning algorithms that predict early disease recurrence within six months after liver resection and response to neoadjuvant chemotherapy over an average period of 18 months. The study uses digital healthcare data and imaging features to enhance prediction accuracy. The involvement includes reviewing medical history, imaging scans, and clinical follow-up to monitor outcomes and inform future treatment decisions.

CONDITIONS

Brief Title

The Use of Artificial Intelligence for the Prediction of Recurrence After Resection of Colorectal Liver Metastases

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Pathologically confirmed diagnosis of liver metastases from colon or rectal adenocarcinoma
  • At least 6 months of follow-up after treatment
  • No other active cancers present
Not Eligible

You will not qualify if you...

  • Any patient undergoing liver resection who does not meet the inclusion criteria

AI-Screening

AI-Powered Screening

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Surgery and Immediate Post-operative Care

Duration - Up to 2 weeks or until discharge

Participants undergo liver resection surgery with or without liver ablation as treatment for colorectal cancer liver metastases.

1 surgical procedure and several immediate post-operative visits

Post-operative Follow-up

Duration - At least 6 months, up to an average of 18 months

Participants are monitored for disease recurrence and response to treatment through clinical assessments and imaging over an extended period.

Regular follow-up visits for monitoring and assessments

Trial Site Locations

Total: 1 location

1

Radiology Department

Milan, Italy, 20123

Actively Recruiting

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Research Team

F

Francesco De Cobelli, MD

S

Stephanie Steidler, PhD

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

1

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