医学
小脑后下动脉
单中心
囊状动脉瘤
回顾性队列研究
齿轮
中心(范畴论)
小脑前下动脉
小脑动脉
外科
椎动脉
动脉瘤
结晶学
计算机科学
人工智能
化学
作者
Baptiste Donnard,Grégoire Boulouis,Cyrille Kuntz,Fouzi Bala,Richard Bibi,Héloïse Ifergan,Valère Barrot,Clémence Hoche,Thibault Agripnidis,Johannes Kaesmacher,Denis Herbreteau,Kévin Janot
标识
DOI:10.1177/15910199251368702
摘要
IntroductionPosterior inferior cerebellar artery (PICA) aneurysms are rare but associated with high rupture rates and significant morbidity and mortality. Both surgical and endovascular treatments can be technically challenging. This study evaluates the efficacy and safety of indirect flow diversion using flow-diverting stents (FDS) deployed in the vertebral artery, covering the PICA origin.Patients and methodsWe retrospectively reviewed all patients treated at our center between March 2013 and March 2024 for proximal saccular PICA aneurysms using FDS deployed in the V4 segment of the vertebral artery. Clinical and aneurysm characteristics, procedural details, imaging follow-up, and clinical outcomes were collected and analyzed.ResultsFourteen patients were treated, including eight (57%) as first-line procedures. Adequate aneurysm occlusion (O'Kelly-Marotta grade C or D) was achieved in 50% of cases at last follow-up (median: 38.5 months (interquartile range: 29.5-48.0; total: 47.6 person-years)). No hemorrhagic or clinically significant ischemic events occurred. One asymptomatic ischemic lesion (7%) was detected on magnetic resonance imaging. No aneurysm growth or rupture was observed during follow-up. PICA patency was preserved in all cases, with non-significant narrowing in two patients. Neointimal hyperplasia was observed in six patients (43%).ConclusionIndirect flow diversion with vertebral artery FDS coverage of the PICA origin appears to be a technically feasible and safe strategy. Although complete occlusion rates may be lower than in other anatomical locations, the long-term stability and low complication rates support its use as a therapeutic option in selected cases.
科研通智能强力驱动
Strongly Powered by AbleSci AI