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A Model of High-Speed Endovascular Sonothrombolysis with Vortex Ultrasound-Induced Shear Stress to Treat Cerebral Venous Sinus Thrombosis

Authors :
Bohua Zhang
Huaiyu Wu
Howuk Kim
Phoebe J. Welch
Ashley Cornett
Greyson Stocker
Raul G. Nogueira
Jinwook Kim
Gabe Owens
Paul A. Dayton
Zhen Xu
Chengzhi Shi
Xiaoning Jiang
Publication Year :
2022
Publisher :
Cold Spring Harbor Laboratory, 2022.

Abstract

This research aims to demonstrate a novel vortex ultrasound enabled endovascular thrombolysis method designed for treating cerebral venous sinus thrombosis (CVST). This is a topic of significant importance since current treatment modalities for CVST still fail in as many as 20-40% of the cases and the incidence of CVST has increased since the outbreak of the COVID-19 pandemic. Compared with conventional anticoagulant or thrombolytic drugs, sonothrombolysis has the potential to remarkably shorten the required treatment time owing to the direct clot targeting with acoustic waves. However, previously reported strategies for sonothrombolysis have not demonstrated clinically meaningful outcomes (e.g., recanalization within 30 minutes) in treating large, completely occluded veins or arteries. In this paper, we demonstrated a new vortex ultrasound technique for endovascular sonothrombolysis utilizing wave-matter interaction-induced shear stress to enhance the lytic rate substantially. Ourin vitroexperiment showed that the lytic rate was increased by at least 64.3 % compared with the nonvortex endovascular ultrasound treatment. A 3.1 g, 7.5 cm long, completely occludedin vitro3D model of acute CVST was fully recanalized within 8 minutes with a record-high lytic rate of 237.5 mg/min for acute bovine clotin vitro. Furthermore, we confirmed that the vortex ultrasound causes no vessel wall damage overex vivobovine veins. This vortex ultrasound thrombolysis technique potentially presents a new life-saving tool for severe CVST cases that cannot be efficaciously treated using existing therapies.

Subjects

Subjects :
Multidisciplinary

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....1bfc771b1ee5455c15067b0136c29951
Full Text :
https://doi.org/10.1101/2022.11.02.514936