Radiogenomics of lower-grade gliomas: a radiomic signature as a biological surrogate for survival prediction.

ABSTRACT:

Objective

We aimed to identify a radiomic signature to be used as a noninvasive biomarker of prognosis in patients with lower-grade gliomas (LGGs) and to reveal underlying biological processes through comprehensive radiogenomic investigation.

Methods

We extracted 55 radiomic features from T2-weighted images of 233 patients with LGGs (training cohort: n = 85; validation cohort: n = 148). Univariate Cox regression and linear risk score formula were applied to generate a radiomic-based signature. Gene ontology analysis of highly expressed genes in the high-risk score group was conducted to establish a radiogenomic map. A nomogram was constructed for individualized survival prediction.

Results

The six-feature radiomic signature stratified patients in the tra

SUBMITTER: Qian Z 

PROVIDER: S-EPMC6224242 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature