Matsumoto Takashi, Takeuchi Masataka, Uyama Atsushi, Konishi Yoshifumi, Iwabuchi Satoshi
Department of Neurosurgery, Toho University Graduate School of Medicine, Tokyo, Japan.
Department of Neurosurgery, Seisho Hospital, Kanagawa, Japan.
Surg Neurol Int. 2022 Oct 28;13:490. doi: 10.25259/SNI_749_2022. eCollection 2022.
Several types of balloon guide catheters (BGCs) are used in mechanical thrombus retrieval. However, direct comparisons of their supporting and guiding performance have not been reported. We compared the supporting and guiding performance of the Branchor, Flowgate, and Optimo BGCs using a type 3 aorta artificial vascular model.
An inner catheter was pushed into the artificial vascular model using a linear actuator for the supporting performance evaluation. A previously placed BGC in the internal carotid artery was then intentionally caused to slip. Supporting performance was evaluated by measuring the distance the BGC slipped and generated maximum resistance during Inner catheter insertion. For the guiding performance experiment, a linear actuator was used to guide the BGC into the internal carotid artery of the artificial vessel model. The guiding performance was evaluated by measuring the distance reached by the BGC, maximum resistance generated during insertion of the guiding catheter, and distance the inner catheter slipped. Each experiment was replicated 5 times.
No statistically significant differences were observed in the results of the five supporting performance experiments. However, the results of the first and second experiments suggested that the Optimo offers better supporting performance. In the guiding performance experiment, significant differences were observed, suggesting that the Branchor and Flowgate have superior guiding performance in comparison with the Optimo.
The Optimo offered superior supporting performance, while the Branchor and Flowgate showed better guiding performance than the Optimo.
机械取栓术中使用了几种类型的球囊导引导管(BGC)。然而,尚未有关于它们支撑和引导性能的直接比较报道。我们使用3型主动脉人工血管模型比较了Branchor、Flowgate和Optimo BGC的支撑和引导性能。
使用线性驱动器将内导管插入人工血管模型以评估支撑性能。然后故意使先前放置在颈内动脉中的BGC滑脱。通过测量BGC滑脱的距离以及在插入内导管期间产生的最大阻力来评估支撑性能。对于引导性能实验,使用线性驱动器将BGC引导至人工血管模型的颈内动脉中。通过测量BGC到达的距离、插入引导导管期间产生的最大阻力以及内导管滑脱的距离来评估引导性能。每个实验重复5次。
五次支撑性能实验的结果未观察到统计学上的显著差异。然而,第一次和第二次实验的结果表明Optimo具有更好的支撑性能。在引导性能实验中,观察到显著差异,表明与Optimo相比,Branchor和Flowgate具有更好的引导性能。
Optimo具有优异的支撑性能,而Branchor和Flowgate的引导性能优于Optimo。