Relationship between shunt sounds at anastomotic sites and mean brachial artery blood flow and vascular resistance index according to Doppler ultrasound

Yosuke Nishiura, Keisuke Ota, Toshiei Kobayashi, Akane Kurachi, Keiko Murase, Masataka Ishiguro, Tsuyako Hirano, Y. Ito, A. Ide, Takayuki Hamano
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Abstract

We reported that the quality of shunt sounds can be quantified and evaluated by artificial intelligence. However, information on the auscultatory sites was missing, and few predictors of obstruction were identified. In addition, it is difficult to predict occlusion based on the mean brachial artery blood flow and vascular resistance index according to Doppler ultrasound because the blood flow through a shunt with many branches is unlikely to decrease if one branch becomes occluded. We consider that shunt sounds from the anastomotic site alone, which are easy to record, may be related to the above ultrasonic findings. Comparisons were made of the sound quality at the shunt anastomosis, the mean brachial artery blood flow according to ultrasound, and the vascular resistance index. As a result, the mean brachial artery blood flow, which indicates shunt blood flow, was found to be correlated with the intensity of shunt auscultatory sounds. The vascular resistance index as indicated by
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多普勒超声检查吻合口分流音与臂动脉平均血流及血管阻力指数的关系
我们报道了分流音的质量可以通过人工智能来量化和评估。然而,关于听诊部位的信息缺失,并且很少确定梗阻的预测因素。此外,多普勒超声显示的平均肱动脉血流和血管阻力指数很难预测闭塞,因为有许多分支的分流器的血流量不太可能在一个分支闭塞时减少。我们认为仅吻合口处的分流音容易记录,可能与上述超声表现有关。比较分流吻合时的音质、超声显示的臂动脉平均血流量、血管阻力指数。结果发现,表明分流血流的平均肱动脉血流与分流听诊音的强度相关。血管阻力指数表示为
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