Assessing the Effects of Software Platforms on Volumetric Segmentation of Glioblastoma.

ABSTRACT:

Background

Radiological assessments of biologically relevant regions in glioblastoma have been associated with genotypic characteristics, implying a potential role in personalized medicine. Here, we assess the reproducibility and association with survival of two volumetric segmentation platforms and explore how methodology could impact subsequent interpretation and analysis.

Methods

Post-contrast T1- and T2-weighted FLAIR MR images of 67 TCGA patients were segmented into five distinct compartments (necrosis, contrast-enhancement, FLAIR, post contrast abnormal, and total abnormal tumor volumes) by two quantitative image segmentation platforms - 3D Slicer and a method based on Velocity AI and FSL. We investigated the internal consistency of each platform by correlation statist

SUBMITTER: Dunn WD 

PROVIDER: S-EPMC5870135 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature