An Algorithm for the Microsurgical Resection of Cerebellar Cavernomas.

Background And Objectives: Cavernous malformations (CMs) account for 8% to 15% of all cerebrovascular anomalies and pose clinical significance due to their potential to cause symptomatic hemorrhage, seizures, and focal neurological deficits. While the majority of CMs are located supratentorial, the less common posterior fossa, particularly cerebellar CMs (cCMs), pose a unique treatment challenge. This study aims to contribute to the understanding and management of cerebellar CMs, thereby assisting in the decision-making process for clinical interventions in this patient population.