Multiparametric Characterization of Colorectal Cancers (METRAD)

Active, not recruiting

• Conditions: Colo-rectal Cancer

• Registration Number: NCT07000474
• Lead Sponsor: University Hospital, Brest

Brief Summary

The primary goal of this observational study is to assess the predictive value of a model developed through a multiparametric analysis of clinical images, histopathological data, CT scans, and molecular analysis. This analysis will be conducted on a retrospective cohort recruited at CHU Brest (training group). The model will then be validated using external cohorts from other centers (test group).

Detailed Description

Around 20% of patients with colorectal cancer present with synchronous liver metastases at the time of diagnosis. In recent years, there has been increasing interest in the high-throughput extraction of quantitative data from medical images, a technique known as radiomics. Radiomic analysis can involve both qualitative and quantitative imaging parameters, which may be used independently or integrated into multiparametric prediction models.

This is a multicenter, retrospective study designed to investigate the demographic, clinical, and radiological features, treatment regimens, and outcomes of patients diagnosed with colorectal cancer. The study will involve the collection of anonymized clinical data, including age, sex, diagnosis date, treatment details, results from histopathological and genetic analyses, as well as pre- and post-treatment medical imaging typically performed as part of the management of colorectal cancer patients, along with survival and tumor recurrence data.

PRIMARY EVALUATION CRITERIA Prediction of recurrence/treatment response based on the radiomic model.

SECONDARY EVALUATION CRITERIA The impact of CT scan image acquisition and reconstruction parameters on the prognostic model.

Study Timeline

• Status Verified: 2025-03
• Study Start: 2025-03-01
• Study First Submitted: 2025-05-20
• Study First Submitted QC: 2025-05-30
• Last Update Submitted: 2025-05-30
• Study First Posted: 2025-06-03
• Last Update Posted: 2025-06-03
• Primary Completion: 2026-12-31
• Study Completion: 2026-12-31

Recruitment & Eligibility

• Status: ACTIVE_NOT_RECRUITING
• Sex: All
• Target Recruitment: 200

Inclusion Criteria

Patients who have undergone surgery for colorectal cancer.

Exclusion Criteria

• Patients under legal protection (guardianship, curatorship, etc.)
• Refusal to participate (expressed opposition)
• Individuals with conditions that could interfere with the study protocol or impact data integrity

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
survival predictive model	2 years	The primary objective is to evaluate the predictive value of a model built through multiparametric analysis of clinical images, histopathological images, CT scans, and molecular analysis.

Trial Locations

Locations (1)

Chu Brest; 🇫🇷 Brest, France