Evaluation of tumor shape features for overall survival prognosis in glioblastoma multiforme patients

Surg Oncol. 2019 Jun:29:178-183. doi: 10.1016/j.suronc.2019.05.005. Epub 2019 May 17.

Abstract

Glioblastoma multiforme (GBM) is a rapidly growing tumor associated with poor prognosis. This study evaluates the effectiveness of thirteen tumor shape features for overall survival (OS) prognosis in GBM patients. Shape features were extracted from the abnormality regions of the GBM tumor visible on the fluid attenuated inversion recovery (FLAIR) and T1-weighted contrast enhanced (T1CE) MR images of GBM patients. Survival analysis was performed using univariate and multivariate (with clinical features) Cox proportional hazards regression analysis. Kaplan-Meier survival curves were plotted and observed for the shape features which were found to be significant from the Cox regression analysis. Three 3D shape features: Bounding ellipsoid volume ratio (BEVR), sphericity and spherical disproportion, computed from both the abnormality regions were found to be significant for OS prognosis in GBM patients.

Keywords: Glioblastoma multiforme; Overall survival prognosis; Shape feature extraction.

Publication types

  • Evaluation Study

MeSH terms

  • Algorithms
  • Brain Neoplasms / mortality*
  • Brain Neoplasms / pathology*
  • Brain Neoplasms / surgery
  • Glioblastoma / mortality*
  • Glioblastoma / pathology*
  • Glioblastoma / surgery
  • Humans
  • Image Interpretation, Computer-Assisted / methods*
  • Magnetic Resonance Imaging / methods*
  • Prognosis
  • ROC Curve
  • Survival Rate