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

Regional University Hospital Center (CHRU)

Status: Completed

Conditions: Rectal Cancer

Study type: Observational

Funder types: Other

Identifiers

NCT04920435

RECTOMICS (29BRC20.0027)

Details and patient eligibility

About

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.

Enrollment: 124 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

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

Trial design

124 participants in 2 patient groups

training population

Description:

patients from which we will develop the prediction model

testing population

Description:

patients on whom we will test the prediction model