TY - JOUR
T1 - Multiscale agent-based modeling of restenosis after percutaneous transluminal angioplasty
T2 - Effects of tissue damage and hemodynamics on cellular activity
AU - Corti, Anna
AU - Colombo, Monika
AU - Migliavacca, Francesco
AU - Berceli, Scott A.
AU - Casarin, Stefano
AU - Rodriguez Matas, Jose F.
AU - Chiastra, Claudio
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/8
Y1 - 2022/8
N2 - Background: Restenosis following percutaneous transluminal angioplasty (PTA) in femoral arteries is a major cause of failure of the revascularization procedure. The arterial wall response to PTA is driven by multifactorial, multiscale processes, whose complete understanding is lacking. Multiscale agent-based modeling frameworks, simulating the network of mechanobiological events at cell-tissue scale, can contribute to decipher the pathological pathways of restenosis. In this context, the present study proposes a fully-automated multiscale agent-based modeling framework simulating the arterial wall remodeling due to the wall damage provoked by PTA and to the altered hemodynamics in the post-operative months. Methods: The framework, applied to an idealized femoral artery model, integrated: (i) a PTA module (i.e., structural mechanics simulation), computing the post-PTA arterial morphology and the PTA-induced damage (ii) a hemodynamics module (i.e., computational fluid dynamics simulations), quantifying the near-wall hemodynamics, and (iii) a tissue remodeling module simulating cellular activities through an agent-based model. Results: The framework was able to capture relevant features of the 3-month arterial wall response to PTA, namely (i) the impact of the PTA-induced damage and altered hemodynamics on arterial wall remodeling, including the local intimal growth at the most susceptible regions (i.e., elevated damage levels and low wall shear stress), (ii) the lumen area temporal trend resulting from the interaction of the two inputs, and (iii) a 3-month lumen area restenosis of ∼25%, in accordance with clinical evidence. Conclusions: The overall results demonstrated the framework potentiality in capturing mechanobiological processes underlying restenosis, thus fostering future application to patient-specific scenarios.
AB - Background: Restenosis following percutaneous transluminal angioplasty (PTA) in femoral arteries is a major cause of failure of the revascularization procedure. The arterial wall response to PTA is driven by multifactorial, multiscale processes, whose complete understanding is lacking. Multiscale agent-based modeling frameworks, simulating the network of mechanobiological events at cell-tissue scale, can contribute to decipher the pathological pathways of restenosis. In this context, the present study proposes a fully-automated multiscale agent-based modeling framework simulating the arterial wall remodeling due to the wall damage provoked by PTA and to the altered hemodynamics in the post-operative months. Methods: The framework, applied to an idealized femoral artery model, integrated: (i) a PTA module (i.e., structural mechanics simulation), computing the post-PTA arterial morphology and the PTA-induced damage (ii) a hemodynamics module (i.e., computational fluid dynamics simulations), quantifying the near-wall hemodynamics, and (iii) a tissue remodeling module simulating cellular activities through an agent-based model. Results: The framework was able to capture relevant features of the 3-month arterial wall response to PTA, namely (i) the impact of the PTA-induced damage and altered hemodynamics on arterial wall remodeling, including the local intimal growth at the most susceptible regions (i.e., elevated damage levels and low wall shear stress), (ii) the lumen area temporal trend resulting from the interaction of the two inputs, and (iii) a 3-month lumen area restenosis of ∼25%, in accordance with clinical evidence. Conclusions: The overall results demonstrated the framework potentiality in capturing mechanobiological processes underlying restenosis, thus fostering future application to patient-specific scenarios.
KW - Agent-based modeling (ABM)
KW - Arterial wall remodeling
KW - Computational fluid dynamics
KW - Femoral artery
KW - Finite element analysis
KW - Mechanobiology
KW - Multiscale modeling
KW - Percutaneous transluminal angioplasty (PTA)
KW - Restenosis
KW - Systems biology
KW - Angioplasty
KW - Constriction, Pathologic
KW - Humans
KW - Treatment Outcome
KW - Systems Analysis
KW - Angioplasty, Balloon
KW - Hemodynamics
KW - Femoral Artery/surgery
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U2 - 10.1016/j.compbiomed.2022.105753
DO - 10.1016/j.compbiomed.2022.105753
M3 - Article
C2 - 35797890
AN - SCOPUS:85133493463
SN - 0010-4825
VL - 147
SP - 105753
JO - Computers in Biology and Medicine
JF - Computers in Biology and Medicine
M1 - 105753
ER -