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Creating patient-specific vein models to characterize wall shear stress in hemodialysis population

End-Stage Renal Disease (ESRD) patients require arteriovenous fistulas (AVF) that allow a mature vein to withstand hemodialysis. Unfortunately, venous thrombosis and stenosis in the cephalic vein arch after AVF placement is common and heavily influenced by hemodynamics. To better assess forces and f...

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Autores principales: Moya-Rodríguez, Andrés, Xie, Bingqing, Cook, Dylan, Klineberg, Maren, Nathan, Sandeep, Hammes, Mary, Basu, Anindita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619312/
https://www.ncbi.nlm.nih.gov/pubmed/36382195
http://dx.doi.org/10.1016/j.csbj.2022.10.010
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author Moya-Rodríguez, Andrés
Xie, Bingqing
Cook, Dylan
Klineberg, Maren
Nathan, Sandeep
Hammes, Mary
Basu, Anindita
author_facet Moya-Rodríguez, Andrés
Xie, Bingqing
Cook, Dylan
Klineberg, Maren
Nathan, Sandeep
Hammes, Mary
Basu, Anindita
author_sort Moya-Rodríguez, Andrés
collection PubMed
description End-Stage Renal Disease (ESRD) patients require arteriovenous fistulas (AVF) that allow a mature vein to withstand hemodialysis. Unfortunately, venous thrombosis and stenosis in the cephalic vein arch after AVF placement is common and heavily influenced by hemodynamics. To better assess forces and flow behavior in the cephalic arch, we have built patient-specific millifluidic models that allow us to explore the complex interplay between patient-specific vein geometry and fluctuating hemodynamics. These 3D models were created from patient-specific intravascular ultrasound and venogram images obtained three- and twelve-months post AVF creation and fabricated into soft elastomer-based millifluidic devices. Geometric validation of fabricated phantom millifluidic device shows successful replication of original computational 3D model. Millifluidic devices were perfused with a blood-mimicking fluid containing fluorescent tracer beads under steady-state physiologic cephalic vein flow conditions (20 mL/min). Particle image velocimetry was employed to calculate wall shear stress (WSS) across the cephalic arches. Experimental WSS profile evaluation reveals that the physiologic cephalic arch model yields WSS values within physiologic range [76–760 mPa]. Moreover, upon comparing WSS profiles across all models, it is noticeable that WSS values increase as vein diameter decreases, which further supports employed experimental and analysis strategy. The presented millifluidic devices show promise for experimental WSS characterization under pathologic flow conditions to contrast from calculated physiologic hemodynamics and better understand WSS influence on thrombosis and stenosis in hemodialysis patients.
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spelling pubmed-96193122022-11-14 Creating patient-specific vein models to characterize wall shear stress in hemodialysis population Moya-Rodríguez, Andrés Xie, Bingqing Cook, Dylan Klineberg, Maren Nathan, Sandeep Hammes, Mary Basu, Anindita Comput Struct Biotechnol J Method Article End-Stage Renal Disease (ESRD) patients require arteriovenous fistulas (AVF) that allow a mature vein to withstand hemodialysis. Unfortunately, venous thrombosis and stenosis in the cephalic vein arch after AVF placement is common and heavily influenced by hemodynamics. To better assess forces and flow behavior in the cephalic arch, we have built patient-specific millifluidic models that allow us to explore the complex interplay between patient-specific vein geometry and fluctuating hemodynamics. These 3D models were created from patient-specific intravascular ultrasound and venogram images obtained three- and twelve-months post AVF creation and fabricated into soft elastomer-based millifluidic devices. Geometric validation of fabricated phantom millifluidic device shows successful replication of original computational 3D model. Millifluidic devices were perfused with a blood-mimicking fluid containing fluorescent tracer beads under steady-state physiologic cephalic vein flow conditions (20 mL/min). Particle image velocimetry was employed to calculate wall shear stress (WSS) across the cephalic arches. Experimental WSS profile evaluation reveals that the physiologic cephalic arch model yields WSS values within physiologic range [76–760 mPa]. Moreover, upon comparing WSS profiles across all models, it is noticeable that WSS values increase as vein diameter decreases, which further supports employed experimental and analysis strategy. The presented millifluidic devices show promise for experimental WSS characterization under pathologic flow conditions to contrast from calculated physiologic hemodynamics and better understand WSS influence on thrombosis and stenosis in hemodialysis patients. Research Network of Computational and Structural Biotechnology 2022-10-13 /pmc/articles/PMC9619312/ /pubmed/36382195 http://dx.doi.org/10.1016/j.csbj.2022.10.010 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Method Article
Moya-Rodríguez, Andrés
Xie, Bingqing
Cook, Dylan
Klineberg, Maren
Nathan, Sandeep
Hammes, Mary
Basu, Anindita
Creating patient-specific vein models to characterize wall shear stress in hemodialysis population
title Creating patient-specific vein models to characterize wall shear stress in hemodialysis population
title_full Creating patient-specific vein models to characterize wall shear stress in hemodialysis population
title_fullStr Creating patient-specific vein models to characterize wall shear stress in hemodialysis population
title_full_unstemmed Creating patient-specific vein models to characterize wall shear stress in hemodialysis population
title_short Creating patient-specific vein models to characterize wall shear stress in hemodialysis population
title_sort creating patient-specific vein models to characterize wall shear stress in hemodialysis population
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619312/
https://www.ncbi.nlm.nih.gov/pubmed/36382195
http://dx.doi.org/10.1016/j.csbj.2022.10.010
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