Detection of Isocitrate Dehydrogenase Mutated Glioblastomas Through Anomaly Detection Analytics

Birra Taha, Taihui Li, Daniel Boley, Clark C. Chen, Ju Sun

Abstract:

We employed an anomaly detection strategy in the detection of IDH
mutation in glioblastoma using preoperative T1 postcontrast imaging. We show these
methods outperform traditional two-class classification in the setting of dataset imbal-
ances inherent to IDH mutation prevalence in glioblastoma. We validate our results using
an external dataset and highlight new possible avenues for radiogenomic rare event
prediction in glioblastoma and beyond.