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李 宸,刘 斌,杨瀚涛,等. 基于经桡动脉入路神经介入手术的主动脉弓上脑供血动脉分型及应用[J]. 中国临床医学, 2024, 31(1): 41-45. DOI: 10.12025/j.issn.1008-6358.2024.20240199
引用本文: 李 宸,刘 斌,杨瀚涛,等. 基于经桡动脉入路神经介入手术的主动脉弓上脑供血动脉分型及应用[J]. 中国临床医学, 2024, 31(1): 41-45. DOI: 10.12025/j.issn.1008-6358.2024.20240199
LI Chen, LIU Bin, YANG Hantao, et al. A new practical classification of superior aortic arch types in transradial access for neurointerventional surgery and its preliminary application[J]. Chin J Clin Med, 2024, 31(1): 41-45. DOI: 10.12025/j.issn.1008-6358.2024.20240199
Citation: LI Chen, LIU Bin, YANG Hantao, et al. A new practical classification of superior aortic arch types in transradial access for neurointerventional surgery and its preliminary application[J]. Chin J Clin Med, 2024, 31(1): 41-45. DOI: 10.12025/j.issn.1008-6358.2024.20240199

基于经桡动脉入路神经介入手术的主动脉弓上脑供血动脉分型及应用

A new practical classification of superior aortic arch types in transradial access for neurointerventional surgery and its preliminary application

  • 摘要:
    目的 探讨适合指导经桡动脉入路神经介入手术的主动脉弓上脑供血动脉分型并评估其应用价值。
    方法 选择2017年7月至2022年2月拟接受脑血管造影或治疗的186例患者。应用主动脉弓上造影、术前CTA影像, 根据推送力与支撑力作用点的关系, 将经桡动脉入路介入手术中进行弓上脑供血动脉超选患者的弓上脑供血动脉分为1型(普通型)、2型(中等难度型)及3型(困难型)。比较不同分型患者超选成功率及透视时间。
    结果 186例患者共394根目标血管, 1型、2型、3型分别为164、151、79根。1型血管超选成功率100%(164/164), 透视时间平均(6.98±2.19) s; 2型血管超选成功率100%(151/151), 透视时间平均(7.16±2.40) s; 3型血管超选成功率81.0%(64/79), 透视时间平均(14.32±5.10) s。不同分型患者间超选成功率差异有统计学意义(P < 0.01); 3型透视时间与1型、2型差异均有统计学意义(P < 0.05)。
    结论 根据推送力与支撑力作用点关系进行的桡动脉入路弓上脑供血动脉分型有助于指导临床制订个体化经桡动脉入路神经介入治疗策略, 其中3型目标血管超选成功率相对较低, 材料及技术要求更高。

     

    Abstract:
    Objective To investigate the appropriate classification of super-arch cerebral blood supplying branches in transradial access (TRA) for neurointerventional surgery and evaluate its applicational value.
    Methods A total of 186 patients underwent cerebral angiography or treatment between July 2017 and February 2022 were selected. According to the relationships between the pushing force and the support point evaluated using ortic arch angiography or preoperative CTA images, the superarch cerebral blood supplying branches of patients were divided into type 1 (ordinary type), type 2 (moderate difficulty type), and type 3 (difficult type). The success rate and fluoroscopy time of TRA superselection among patients with different types of superarch cerebral blood supplying branches were compared.
    Results A total of 394 target blood vessels were included in 186 patients, with164, 151, 79 of type 1, type 2, type 3 vessels, respectively. The superselection success rate in type 1 vessels was 100% (164/164), with an average fluoroscopy time of (6.98±2.19) s, which was 100% (151/151), (7.16±2.40) s, and 81.0% (64/79), (14.32±5.10) s in type 2 and type 3 vessels, respectively. There was a significant difference in the superselection success rate among the three types vessels (P < 0.01). There were statistically significant differences in fluoroscopy time between types 1 and 3 vessels and between types 2 and 3 vessels (P < 0.05).
    Conclusions The applicational classifications based on the relationships between the pushing force and the support point may be helpful of optimization of TRA neurointervention treatment strategies. The superselection success rate is related lower in type 3 of target blood vessels, with higher need of special materials and surgical procedures.

     

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