Radiomic signature of the FOWARC trial predicts pathological response to neoadjuvant treatment in rectal cancer.

ABSTRACT:

Background

We aimed to develop a radiomic model based on pre-treatment computed tomography (CT) to predict the pathological complete response (pCR) in patients with rectal cancer after neoadjuvant treatment and tried to integrate our model with magnetic resonance imaging (MRI)-based radiomic signature.

Methods

This was a secondary analysis of the FOWARC randomized controlled trial. Radiomic features were extracted from pre-treatment portal venous-phase contrast-enhanced CT images of 177 patients with rectal cancer. Patients were randomly allocated to the primary and validation cohort. The least absolute shrinkage and selection operator regression was applied to select predictive features to build a radiomic signature for pCR prediction (rad-score). This CT-based rad-score wa

SUBMITTER: Zhuang Z 

PROVIDER: S-EPMC8194221 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature