Development and validation of radiomic signature for predicting overall survival in advanced-stage cervical cancer.

ABSTRACT:

Background

The role of artificial intelligence and radiomics in prediction model development in cancer has been increasing every passing day. Cervical cancer is the 4th most common cancer in women worldwide, contributing to 6.5% of all cancer types. The treatment outcome of cervical cancer patients varies and individualized prediction of disease outcome is of paramount importance.

Purpose

The purpose of this study is to develop and validate the digital signature for 5-year overall survival prediction in cervical cancer using robust CT radiomic and clinical features.

Materials and methods

Pretreatment clinical features and CT radiomic features of 68 patients, who were treated with chemoradiation therapy in our hospital, were used in this study. Radiomic features were e

SUBMITTER: Jha AK 

PROVIDER: S-EPMC11440856 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature