Prediction of the Response to Neoadjuvant Radiation Chemotherapy Through Texture Analysis Derived From Medical Imaging

Completed

• Conditions: Rectal Cancer

• Registration Number: NCT04920435
• Lead Sponsor: University Hospital, Brest

Brief Summary

In patient with complete pathological response, surgery could be omitted without compromising progression-free or overall survival. A powerful prediction model is needed to guide management of this population.

Radiomics features provide complementary information about tumor heterogenity.

The aim of the investigators is to develop a model combining clinical and radiomic criteria able to predict complete pathological response.

Detailed Description

Not available

Study Timeline

• Study Start: 2019-01-02
• Primary Completion: 2019-12-31
• Study Completion: 2019-12-31
• Study First Submitted: 2021-06-03
• Study First Submitted QC: 2021-06-03
• Study First Posted: 2021-06-09
• Status Verified: 2021-11
• Last Update Submitted: 2021-11-23
• Last Update Posted: 2021-12-07

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 124

Inclusion Criteria

• locally advanced rectal cancer
• patients who received concomitant radio-chemotherapy followed by surgery
• pre-therapeutic MRI and CT-scan dicom available

Exclusion Criteria

• age under 18 yo
• lack of MRI or CT-scan

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Prediction of the complete response (pCR) to neoadjuvant chemoradiotherapy	TO = Immediately after biopsy and extension evaluation.	defined as the absence of tumor residue on the surgical specimen, ypT0N0

Trial Locations

Locations (3)

CHRU de Brest (Morvan); 🇫🇷 Brest, France

Centre Hospitalier de Cornouaille; 🇫🇷 Quimper, Bretagne, France

ICO; 🇫🇷 Nantes, Saint Herblain, France