Abstract #3263

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

Parita Sanghani¹, Ang Beng Ti², Nicolas Kon Kam King², and Hongliang Ren¹

¹Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore, ²Department of Neurosurgery, National Neuroscience Institute, Singapore, Singapore

We evaluated 13 shape features of glioblastoma multiforme (GBM) tumor for overall survival (OS) prognosis in 75 patients using univariate and multivariate Cox regression analysis. Age and Karnofsky performance scale were used as covariates for the multivariate analysis. Three shape features were found to be significant for OS prognosis in GBM patients. Kaplan-Merier survival curves were obtained for the significant features to illustrate their effectiveness. In future works, these shape features can be used along with volumetric and texture features derived from the tumor for OS prediction of GBM patients.

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