Francesca Izzi

Radiomics and machine learning analysis to differentiate low grade glioma and encephalitis on non-contrast MRI

Abstract Accurate differentiation between low-grade gliomas and encephalitis remains challenging due to overlapping MRI features. This study investigated whether MRI-based radiomics derived from routine non-contrast MRI could improve the differentiation of these entities in diagn...

Predicting levetiracetam neuropsychiatric adverse effects using graph‐theoretical electroencephalographic network metrics in drug‐naive focal epilepsy: A multicenter longitudinal study

Abstract Objective Levetiracetam (LEV) is an antiseizure medication approved for focal and generalized epilepsy. Despite its efficacy, neuropsychiatric adverse effects (NP‐AEs) may lead to treatment discontinuation. Quantitative electroencephalographic (qEEG) graph‐theoretical an...