Integrated Molecular-Morphologic Meningioma Classification: A Multicenter Retrospective Analysis, Retrospectively and Prospectively Validated.
Sybren L N MaasDamian StichelThomas HielscherPhilipp SieversAnna Sophie BerghoffDaniel SchrimpfMartin SillPhilipp EuskirchenChristina BlumeAreeba PatelHelin DoganDavid ReussHildegard DohmenMarco SteinAnnekathrin ReinhardtAbigail K SuwalaAnnika K WefersPeter BaumgartenFranz L RicklefsElisabeth J RushingMelanie Bewerunge-HudlerRalf KetterCornelia BrendleZane JaunmuktaneSeverina LeuFay E A GreenwayLeslie R BridgesTimothy JonesConor GradyJonathan SerranoJohn GolfinosChandranath SenChristian MawrinChristine JungkDaniel HänggiManfred WestphalKatrin LamszusNima EtminanGerhard JungwirthChristel Herold-MendeAndreas UnterbergPatrick N HarterHans-Georg WirschingMarian C NeidertMiriam RatliffMichael PlattenMatija SnuderlKenneth D AldapeSebastian BrandnerJuergen HenchStephan FrankStefan M PfisterDavid T W JonesGuido ReifenbergerTill AckerWolfgang WickMichael WellerMatthias PreusserAndreas von DeimlingFelix Sahmnull nullPublished in: Journal of clinical oncology : official journal of the American Society of Clinical Oncology (2021)
Merging these layers of histologic and molecular data into an integrated, three-tiered score significantly improves the precision in meningioma stratification. Implementation into diagnostic routine informs clinical decision making for patients with meningioma on the basis of robust outcome prediction.