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Numerical simulation and experimental validation of thrombolytic therapy for patients with venous isomer and normal venous valves.

Authors :
Lin, Boyuan
Zhang, Xianglei
Xu, Jiangping
Ni, Haoqi
Lv, Xinhuang
Source :
International Journal for Numerical Methods in Biomedical Engineering. Oct2023, Vol. 39 Issue 10, p1-18. 18p.
Publication Year :
2023

Abstract

Thrombus is an extremely dangerous factor in the human body that can block the blood vessel. Once thrombosis happens in venous of lower limbs, local blood flow is impeded. This leads to venous thromboembolism (VTE) and even pulmonary embolism. In recent years, venous thromboembolism has frequently occurred in a variety of people, and there is no effective treatment for patients with different venous structures. For the patients with venous isomer with single valve structure, we establish a coupled computational model to simulate the process of thrombolysis with multi‐dose treatment schemes by considering the blood as non‐Newtonian fluid. Then, the corresponding in vitro experimental platform is built to verify the performance of the developed mathematical model. At last, the effects of different fluid models, valve structures and drug doses on thrombolysis are comprehensively studied through numerical and experimental observations. Comparing with the experimental results, the relative error of blood boosting index (BBI) obtained from non‐Newtonian fluid model is 11% smaller than Newtonian fluid. In addition, the BBI from venous isomer is 1300% times stronger than patient with normal venous valve while the valve displacement is 500% times smaller. As consequence, low eddy current and strong molecular diffusion near the thrombus in case of isomer promote thrombolysis rate up to 18%. Furthermore, the 80 μM dosage of thrombolytic drugs gets the maximum thrombus dissolution rate 18% while the scheme of 50 μM doses obtains a thrombolysis rate of 14% in case of venous isomer. Under the two administration schemes for isomer patients, the rates from experiments are around 19.1% and 14.9%, respectively. It suggests that the proposed computational model and the designed experiment platform can potentially help different patients with venous thromboembolism to carry out clinical medication prediction. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20407939
Volume :
39
Issue :
10
Database :
Academic Search Index
Journal :
International Journal for Numerical Methods in Biomedical Engineering
Publication Type :
Academic Journal
Accession number :
172958971
Full Text :
https://doi.org/10.1002/cnm.3694