医学
动脉瘤
支架
颈内动脉
蛛网膜下腔出血
改良兰金量表
放射科
血管造影
外科
血管内治疗
栓塞
闭塞
缺血
心脏病学
缺血性中风
作者
Masanori Aihara,Tatsuya Shimizu,Isao Naito,Nobuo Miyamoto,Rei Yamaguchi,Kaoru Aishima,Koji Sato,Ryosuke Shintoku,Toshiyuki Ohtani,Mitsuko Okano,Akihiro Tsukada,Yuhei Yoshimoto
标识
DOI:10.1016/j.wneu.2021.02.060
摘要
It is challenging to safely treat blood blister–like aneurysms (BBAs) of the internal carotid artery. Endovascular surgery has been reported, but the optimal strategy is yet to be established. We report our endovascular treatment strategy using the Low-profile Visualized Intraluminal Support (LVIS) stent. Twelve patients with ruptured BBAs including 1 patient with 2 separate aneurysmal bulges were treated from December 2017 to January 2020. Single LVIS stent-assisted coil embolization was performed as the initial treatment. If the coil could not be placed in the aneurysm, or follow-up angiography showed persistent filling or regrowth of the aneurysm, a second LVIS stent was deployed as an overlapping stent. Clinical characteristics, treatment details, and clinical outcomes were retrospectively examined. Single stent-assisted coiling was performed in 8 patients (69%), 2 overlapping stents with coiling in 1 (8%), a single stent in 2 (15%), and 2 overlapping stents in 2 (15%). Three patients with persistent filling or regrowth of the aneurysm were re-treated with overlapping stents. Follow-up angiography confirmed complete occlusion in 12 aneurysms (92%). No re-rupture occurred. Postoperative symptomatic ischemia was confirmed in 4 patients (33%), and all 4 patients suffered severe subarachnoid hemorrhage. Modified Rankin scale was 0–2 in 8 patients (67%). LVIS stent-assisted coil embolization is effective in preventing re-rupture of BBAs. However, the morphology of the aneurysm may change within a short period, so careful angiographic follow-up is needed. Appropriate preoperative antiplatelet administration and optimal timing of the treatment may reduce the risk of postoperative ischemic complication.
科研通智能强力驱动
Strongly Powered by AbleSci AI