Morphological MRI-based features provide pretreatment survival prediction in glioblastoma.
Julián Pérez-BetetaDavid Molina-GarcíaAlicia Martínez-GonzálezAraceli Henares-MolinaMariano Amo-SalasBelén LuqueElena ArreguiManuel CalvoJosé M BorrásJuan MartinoCarlos VelásquezBárbara Meléndez-AsensioÁngel Rodríguez de LopeRaquel MorenoJuan A BarciaBeatriz AsenjoManuel BenavidesIsmael HerruzoPedro C LaraRaquel CabreraDavid AlbilloMiguel NavarroLuis A Pérez-RomasantaAntonio RevertEstanislao AranaVíctor M Pérez-GarcíaPublished in: European radiology (2018)
• A combination of two MRI-based morphological features (CE rim width and surface regularity) and patients' age outperformed previous prognosis scores for glioblastoma. • Prognosis models for homogeneous surgical procedure groups led to even more accurate survival prediction based on Kaplan-Meier analysis and concordance indexes.