World Health Organization Grade II/III Glioma Molecular Status: Prediction by MRI Morphologic Features and Apparent Diffusion Coefficient
John Maynard, Sachi Okuchi, Stephen Wastling, Ayisha Al Busaidi, Ofran Almossawi, Wonder-Boy Eumane Mbatha, Sebastian Brandner, Zane Jaunmuktane, Ali Murat Koç, Laura Mancini, Rolf Jäger, Stefanie Thust
Abstract
An algorithm based on standard MRI sequences and age predicted isocitrate dehydrogenase status in lower grade gliomas with comparable accuracy to advanced MRI sequences and computational methods. Key results• Apparent diffusion coefficient (ADC) measurements (minimum, mean) and their ratios to normal appearing white matter were reproducible (intraclass correlation coefficient 0.83-0.96)and distinguished three lower grade glioma subtypes: isocitrate dehydrogenase (IDH) wild-type, IDH mutant/1p19q intact, and IDH mutant/1p19q co-deleted (p<0.001).• A negative association (β 0.09, Pseudo R 2 0.34) was identified between age and IDH mutations (p<0.001).Glioma location, enhancement characteristics, calcification, and cyst formation were univariable and multivariable predictors of IDH genotype.• Two predictive models incorporating ADC, age and morphology defined IDH genotype with accuracies of 92% and 91% (AUC 0.94-0.96).