Machine Learning Using Multiparametric Magnetic Resonance Imaging Radiomic Feature Analysis to Predict Ki-67 in World Health Organization Grade I Meningiomas.
Omaditya KhannaAnahita Fathi KazerooniChristopher J FarrellMichael P BaldassariTyler D AlexanderMichael J KarsyBenjamin A GreenbergerJose A GarciaChiharu SakoJames J EvansKevin D JudyDavid W AndrewsAdam E FlandersAshwini D SharanAdam P DickerWenyin ShiChristos DavatzikosPublished in: Neurosurgery (2021)
Our proposed radiomic feature analysis can be used to stratify WHO grade I meningiomas based on Ki-67 with excellent accuracy and can be applied to skull base and nonskull base tumors with similar performance achieved.