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

Prediction of the Response to Neoadjuvant Radiation Chemotherapy Through Texture Analysis Derived From Magnetic Resonance Imaging, Contrast Injection Computed Tomography and Positron Emission Tomography at 18-FDG in Locally Advanced Rectal Cancer

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT04920435

Acronym

RECTOMICS

Enrollment

124

Registered

2021-06-09

Start date

2019-01-02

Completion date

2019-12-31

Last updated

2021-12-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Rectal Cancer

Keywords

locally advanced rectal cancer, radiomic

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.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

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

Design outcomes

Primary

Measure	Time frame	Description
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

Countries

France

Outcome results