Multiparametric Characterization of Colorectal Cancers (METRAD)

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ACTIVE_NOT_RECRUITING

Total Enrollment

200 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-03-01

Study Completion Date

2026-12-31

Brief Summary

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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).

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Detailed Description

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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.

Conditions

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Colo-rectal Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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Brest

Training cohort

Omics

Intervention Type OTHER

Multiparametric analysis of clinical images, histopathological images, CT scans, and molecular analysis.

External

Validation cohort

Omics

Intervention Type OTHER

Multiparametric analysis of clinical images, histopathological images, CT scans, and molecular analysis.

Interventions

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Omics

Multiparametric analysis of clinical images, histopathological images, CT scans, and molecular analysis.

Intervention Type OTHER

Eligibility Criteria

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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

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No