Histopathology-validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo-progression in glioblastoma.
Hamed AkbariSaima RathoreSpyridon BakasMacLean P NasrallahGaurav ShuklaElizabeth MamourianMartin RozyckiStephen J BagleyJeffrey D RudieAdam E FlandersAdam P DickerArati S DesaiDonald M O'RourkeSteven BremRobert LustigSuyash MohanRonald L WolfMichel BilelloMaria Martinez-LageChristos DavatzikosPublished in: Cancer (2020)
Quantitative mpMRI analysis via machine learning reveals distinctive noninvasive signatures of TP versus PsP after treatment of glioblastoma. Integration of the proposed method into clinical studies can be performed using the freely available Cancer Imaging Phenomics Toolkit.