Key result
Physical carotid model validates observed peak systolic velocity changes across 20-75% stenosis.
Why the study?
Early detection of carotid artery stenosis requires improved diagnostic tools based on physical models and ultrasonic transducers.
A proposed empirically physical-based carotid model and modulated ultrasonic transducer effectively simulate and validate hemodynamic changes associated with 20%-75% carotid artery stenosis.
Answers are grounded in this paper and cite their sources.
Supports preclinical carotid stenosis modeling; leaves open human translation and clinical validation.
In this letter, we implement a modulated ultrasonic transdu- cer and propose an empirically physical-based carotid artery model for early detection of carotid artery stenosis. Experimental results show that in the range of 20%–75% carotid stenosis, the proposed carotid model reveals significant variations,Rₚₑᵣᵢₚₕₑᵣₐₗincreases from 156 to 250Ω,L_sys\ inertiadecreases from 44.41 to 44.30 µH,L_dia\ inertiadecreases from 26.42 to 26.30 µH, andCdistaldecreases from 39.73 to 39.68 pF. The proposed carotid model effectively validates the observed changes in peak systolic velocity (PSV) ranging from 1.53 to 4.33 m/s and PSV ration (PSVR) ranging from 1.38 to 3.94 in the range of 20%–75% carotid stenosis, where PSV and PSVR have historically been the primary diagnostic criteria for carotid disease. These results are successfully verified through COMSOL Multiphysics finite element material simulation, exhibiting close alignment with clinical results.
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Hsieh et al. (2023) studied Carotid artery stenosis. Modulated ultrasonic transducer and empirically physical-based carotid artery model was evaluated on Variations in physical model parameters and peak systolic velocity across 20%-75% carotid stenosis. An empirically physical-based carotid model demonstrated significant parameter variations across 20%–75% stenosis, validating observed changes in peak systolic velocity from 1.53 to 4.33 m/s.
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