Preoperative positron emission tomography for predicting postoperative epilepsy risk: A radiomics and clinical feature-based fusion model

Puntos clave

• Postoperative epilepsy risk is predictably assessed using a fusion model of clinical features and PET imaging data, enhancing clinical decision-making.
• Key evidence includes an accuracy rate of 85% in identifying patients at risk when utilizing combined PET and clinical features during evaluations.
• The approach employed analysis of preoperative PET results alongside radiomics metrics to finely tune risk predictions in patients pre-surgery.
• Highlighting the need for improved predictive tools indicates a better understanding of postoperative outcomes and individualized patient care.