TY - GEN
T1 - A Multiscale Model of Atherosclerotic Plaque Development
T2 - 19th International Conference on Computational Science, ICCS 2019
AU - Corti, Anna
AU - Casarin, Stefano
AU - Chiastra, Claudio
AU - Colombo, Monika
AU - Migliavacca, Francesco
AU - Garbey, Marc
N1 - Funding Information:
Acknowledgments. National Institutes of Health (NIH) grant U01HL119178-01 has supported this work. Claudio Chiastra and Monika Colombo have been supported by Fondazione Cariplo, Italy (Grant number 2017-0792, TIME).
Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - Computational models have been widely used to predict the efficacy of surgical interventions in response to Peripheral Occlusive Diseases. However, most of them lack a multiscale description of the development of the disease, which, in our hypothesis, is the key to develop an effective predictive model. Accordingly, in this work we present a multiscale computational framework that simulates the generation of atherosclerotic arterial occlusions. Starting from a healthy artery in homeostatic conditions, the perturbation of specific cellular and extracellular dynamics led to the development of the pathology, with the final output being a diseased artery. The presented model was developed on an idealized portion of a Superficial Femoral Artery (SFA), where an Agent-Based Model (ABM), locally replicating the plaque development, was coupled to Computational Fluid Dynamics (CFD) simulations that define the Wall Shear Stress (WSS) profile at the lumen interface. The ABM was qualitatively validated on histological images and a preliminary analysis on the coupling method was conducted. Once optimized the coupling method, the presented model can serve as a predictive platform to improve the outcome of surgical interventions such as angioplasty and stent deployment.
AB - Computational models have been widely used to predict the efficacy of surgical interventions in response to Peripheral Occlusive Diseases. However, most of them lack a multiscale description of the development of the disease, which, in our hypothesis, is the key to develop an effective predictive model. Accordingly, in this work we present a multiscale computational framework that simulates the generation of atherosclerotic arterial occlusions. Starting from a healthy artery in homeostatic conditions, the perturbation of specific cellular and extracellular dynamics led to the development of the pathology, with the final output being a diseased artery. The presented model was developed on an idealized portion of a Superficial Femoral Artery (SFA), where an Agent-Based Model (ABM), locally replicating the plaque development, was coupled to Computational Fluid Dynamics (CFD) simulations that define the Wall Shear Stress (WSS) profile at the lumen interface. The ABM was qualitatively validated on histological images and a preliminary analysis on the coupling method was conducted. Once optimized the coupling method, the presented model can serve as a predictive platform to improve the outcome of surgical interventions such as angioplasty and stent deployment.
KW - Agent-Based Model
KW - Atherosclerosis
KW - Computational Fluid Dynamics
KW - Multiscale model
KW - Peripheral Occlusive Diseases
UR - http://www.scopus.com/inward/record.url?scp=85067594882&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067594882&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-22747-0_31
DO - 10.1007/978-3-030-22747-0_31
M3 - Conference contribution
AN - SCOPUS:85067594882
SN - 9783030227463
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 410
EP - 423
BT - Computational Science – ICCS 2019 - 19th International Conference, Proceedings
A2 - Rodrigues, João M.F.
A2 - Cardoso, Pedro J.S.
A2 - Monteiro, Jânio
A2 - Lam, Roberto
A2 - Krzhizhanovskaya, Valeria V.
A2 - Lees, Michael H.
A2 - Sloot, Peter M.A.
A2 - Dongarra, Jack J.
PB - Springer-Verlag
Y2 - 12 June 2019 through 14 June 2019
ER -