Unknown

Dataset Information

A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas.


ABSTRACT:

Objective

The aim of this study was to develop a radiomics signature for prediction of progression-free survival (PFS) in lower-grade gliomas and to investigate the genetic background behind the radiomics signature.

Methods

In this retrospective study, training (n = 216) and validation (n = 84) cohorts were collected from the Chinese Glioma Genome Atlas and the Cancer Genome Atlas, respectively. For each patient, a total of 431 radiomics features were extracted from preoperative T2-weighted magnetic resonance images. A radiomics signature was generated in the training cohort, and its prognostic value was evaluated in both the training and validation cohorts. The genetic characteristics of the group with high-risk scores were identified by radiogenomic analysis, and a nomogra

SUBMITTER: Liu X 

PROVIDER: S-EPMC6202688 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature