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

N/ACompletedNCT04920435

University Hospital, Brest124 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

124

Conditions

Rectal Cancer

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

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

Locations (3)

Centre Hospitalier de Cornouaille

Quimper, Brittany Region, France

ICO

Nantes, Saint Herblain, France

CHRU de Brest (Morvan)

Brest, France

Outcomes

Primary Outcomes

Prediction of the complete response (pCR) to neoadjuvant chemoradiotherapy

defined as the absence of tumor residue on the surgical specimen, ypT0N0

Time frame: TO = Immediately after biopsy and extension evaluation.

Data from ClinicalTrials.gov

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