An algorithmic approach to preoperative studies and patient selection for hemispheric disconnection surgery: a literature review
Type de matériel :
TexteLangue : français Détails de publication : 2020.
Sujet(s) : Ressources en ligne : Abrégé : AimsHemispheric disconnection surgery (HDS) is one of the most effective surgical options for appropriate candidates with medically-refractory epilepsy (MRE) in whom most or all seizures arise from diffuse areas within a single hemisphere. While there are several well-accepted indications for HDS, there are additional patients who may benefit from HDS. However, there are no standardized recommendations for how preoperative studies should be used to identify appropriate candidates for HDS. We aimed to propose an algorithmic approach for presurgical evaluation in order to guide appropriate implementation of HDS for either cure or palliation of severe MRE in infants, children, and adults.
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AimsHemispheric disconnection surgery (HDS) is one of the most effective surgical options for appropriate candidates with medically-refractory epilepsy (MRE) in whom most or all seizures arise from diffuse areas within a single hemisphere. While there are several well-accepted indications for HDS, there are additional patients who may benefit from HDS. However, there are no standardized recommendations for how preoperative studies should be used to identify appropriate candidates for HDS. We aimed to propose an algorithmic approach for presurgical evaluation in order to guide appropriate implementation of HDS for either cure or palliation of severe MRE in infants, children, and adults.
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