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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
- 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.
- Subjects :
- Adult
Aged, 80 and over
Male
Adolescent
Brain Neoplasms
Brain
Reproducibility of Results
General Medicine
Middle Aged
Prognosis
Magnetic Resonance Imaging
Risk Assessment
030218 nuclear medicine & medical imaging
Survival Rate
03 medical and health sciences
Young Adult
0302 clinical medicine
030220 oncology & carcinogenesis
Humans
Radiology, Nuclear Medicine and imaging
Female
Neoplasm Recurrence, Local
Glioblastoma
Aged
Subjects
Details
- ISSN :
- 14321084
- Volume :
- 27
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- European radiology
- Accession number :
- edsair.doi.dedup.....9a9715cff39c97bde0cec91bb5e84d6a