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Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings

Authors :
Prateek Prasanna
Jay Patel
Sasan Partovi
Anant Madabhushi
Pallavi Tiwari
Source :
European radiology. 27(10)
Publication Year :
2016

Abstract

Despite 90 % of glioblastoma (GBM) recurrences occurring in the peritumoral brain zone (PBZ), its contribution in patient survival is poorly understood. The current study leverages computerized texture (i.e. radiomic) analysis to evaluate the efficacy of PBZ features from pre-operative MRI in predicting long- (18 months) versus short-term (7 months) survival in GBM.Sixty-five patient examinations (29 short-term, 36 long-term) with gadolinium-contrast TA subset of ten radiomic 'peritumoral' MRI features, suggestive of intensity heterogeneity and textural patterns, was found to be predictive of survival (p = 1.47 × 10Our preliminary analysis suggests that radiomic features from the PBZ on routine pre-operative MRI may be predictive of long- versus short-term survival in GBM.• Radiomic features from peritumoral regions can capture glioblastoma heterogeneity to predict outcome. • Peritumoral radiomics along with clinical factors are highly predictive of glioblastoma outcome. • Identifying prognostic markers can assist in making personalized therapy decisions in glioblastoma.

Details

ISSN :
14321084
Volume :
27
Issue :
10
Database :
OpenAIRE
Journal :
European radiology
Accession number :
edsair.doi.dedup.....9a9715cff39c97bde0cec91bb5e84d6a