Location-based clinical and angiographic profile of brain arteriovenous malformations – a single-center observational study

Basilio-Flores J.E.; Aguilar-Melgar J.A.; Pacheco-Fernandez Baca H. · Acta Neurochirurgica (2024) · DOI: 10.1007/s00701-024-06105-y

Resumen

Background: The location of brain arteriovenous malformations (bAVM) is one of the most relevant prognostic factors included in surgical, endovascular and radiosurgical scores. However, their characteristics according to location are seldom described. The goal of this study was to describe the clinical and angiographic characteristics of bAVM classified according to their location. Methods: This retrospective observational study included patients diagnosed with bAVM and attending a national referral hospital during the period 2010–2020. Data regarding clinical and angiographic variables were extracted, including characteristics on nidus, arterial afferents, venous drainage and associated aneurysms. BAVM were classified in 8 groups according to their location: frontal, temporal, parieto-occipital, periventricular, deep, cerebellar, brainstem and mixed. Data distribution for each group was determined and between-group differences were assessed. Results: A total of 269 bAVM (in 258 patients) were included. The most frequent location was parieto-occipital; and the least frequent, brainstem. Statistically significant differences were observed between groups for most studied variables, including: clinical presentation, functional status at admission; nidus size and density, classification according to the Spetzler-Martin, Buffalo and modified Pollock-Flickinger scales; number, diameter, origin and type of afferents; number, diameter, type and direction of venous drainage, retrograde venous flow; and presence and size of flow-related aneurysms. Conclusion: The clinical and angiographic differences observed between brain AVM groups allow the formulation of profiles according to their location. © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2024.

Instituciones: Universidad Nacional Mayor de San Marcos