Vein wall shrinkage induced by thermalcoagulation with high-intensity-focused ultrasound: numerical modeling and invivoexperiments in sheep.

Autor: Barnat, Nesrine, Grisey, Anthony, Gerold, joern, Yon, Sylvain, Anquez, Jérémie, Aubry, Jean-François
Zdroj: International Journal of Hyperthermia; 2020, Vol. 37 Issue 1, p1238-1247, 10p
Abstrakt: Background: Varicose veins are a common disease that may significantly affect quality of life. Different approaches are currently used in clinical practice to treat this pathology. Materials and methods:In thermal therapy (radiofrequency or laser therapy), the vein is directly heated to a high temperature to induce vein wall coagulation, and the heat induces denaturation of the intramural collagen, which results macroscopically in vein shrinkage. Thermal vein shrinkage is a physical indicator of the efficiency of endovenous treatment. High-intensity focused ultrasound (HIFU)is a noninvasive technique that can thermally coagulate vein walls and induce vein shrinkage. In this study, we evaluated the vein shrinkage induced in vivo by extracorporeal HIFU ablation of sheep veins: six lateral saphenous veins (3. 4mm mean diameter) were sonicated for 8 s with 3 MHz Continusous waves. Ultrasound imaging was performed before and immediately post-HIFU to quantify the HIFU-induced shrinkage. Results:Luminal constriction was observed in 100% (6/6) of the treated veins. The immediate findings showed a mean diameter constriction of 53%. The experimental HIFU-induced shrinkage data we reused to validate a numerical model developed to predict the thermally induced vein contraction Dur-ING HIFU treatment. Conclusions:This model is based on the use of the k-wave library and published contraction rates of vessels immersed in hot water baths. The simulation results agreed well with those of in vivo experiments, showing a mean percent difference of 5%. The numerical model could thus be a valuable tool for optimizing ultrasound parameters as functions of the vein diameter, and future clinical trials are anticipated. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index