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
codeleted), the classification accuracy was 40 of 49 gliomas (82%; 95% CI: 71%, 92%) for model A and 42 of 49 gliomas (86%; 95% CI: 76%, 96%) for model B. Conclusion Two algorithms that incorporated apparent diffusion coefficient values, age, and tumor morphologic characteristics predicted isocitrate dehydrogenase status in World Health Organization grade II/III gliomas on the basis of standard clinical MRI sequences alone. © RSNA, 2020
Topics & Concepts
MedicineGliomaIntraclass correlationEffective diffusion coefficientConfidence intervalInterquartile rangeNuclear medicineConcordance correlation coefficientMagnetic resonance imagingConcordanceIsocitrate dehydrogenaseSpearman's rank correlation coefficientRadiologyInternal medicineStatisticsNuclear magnetic resonanceEnzymeClinical psychologyPsychometricsCancer researchMathematicsPhysicsGlioma Diagnosis and TreatmentRadiomics and Machine Learning in Medical ImagingMRI in cancer diagnosis