Forecasting Molecular Features in IDH-Wildtype Gliomas: The State of the Art of Radiomics Applied to Neurosurgery.
Rosa Maria GerardiRoberto CannellaLapo BonosiFederica VernuccioGianluca FeriniAnna ViolaValentina ZagardoFelice BuscemiRoberta CostanzoMassimiliano PorzioAndrea Evier GiovanniniFederica PaoliniLara BrunassoGiuseppe Roberto GiammalvaGiuseppe Emmanuele Emmanuele UmanaAntonino ScarpittaDomenico Gerardo IacopinoRosario MaugeriPublished in: Cancers (2023)
Further studies are necessary to adjust radiomics' potential to the newest molecular requirements pointed out by the 2021 WHO classification of CNS tumors. At a glance, its application in the clinical routine could be beneficial to achieve a timely diagnosis, especially for those patients not eligible for surgery and/or adjuvant therapies but still deserving palliative and supportive care.
Keyphrases
- end stage renal disease
- palliative care
- healthcare
- ejection fraction
- chronic kidney disease
- minimally invasive
- newly diagnosed
- machine learning
- lymph node metastasis
- early stage
- deep learning
- magnetic resonance imaging
- prognostic factors
- single molecule
- clinical practice
- magnetic resonance
- coronary artery disease
- risk assessment
- acute coronary syndrome
- human health
- atrial fibrillation
- percutaneous coronary intervention