MRI features predict survival and molecular markers in diffuse lower-grade gliomas.

ABSTRACT:

Background

Previous studies have shown that MR imaging features can be used to predict survival and molecular profile of glioblastoma. However, no study of a similar type has been performed on lower-grade gliomas (LGGs).

Methods

Presurgical MRIs of 165 patients with diffuse low- and intermediate-grade gliomas (histological grades II and III) were scored according to the Visually Accessible Rembrandt Images (VASARI) annotations. Radiomic models using automated texture analysis and VASARI features were built to predict isocitrate dehydrogenase 1 (IDH1) mutation, 1p/19q codeletion status, histological grade, and tumor progression.

Results

Interrater analysis showed significant agreement in all imaging features scored (k = 0.703-1.000). On multivariate Cox regression anal

SUBMITTER: Zhou H 

PROVIDER: S-EPMC5464433 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature