Key result
Computational thrombus modeling relies heavily on empiricism while ongoing research targets shear stress and platelet interactions.
This review summarizes the state-of-the-art in computational modeling of thrombus formation, highlighting strategies for predicting growth and related phenomena.
Empiricism limits thrombus model reliability; leaves open mechanistic integration of shear stress and platelet dynamics for future cardiovascular applications.
The paper reviews the state-of-the-art in computational modeling of thrombus formation and growth and related phenomena including platelet margination, activation, adhesion, and embolization. Presently, there is a high degree of empiricism in the modeling of thrombus formation. Based on the experimentally observed physics, the review gives useful strategies for predicting thrombus formation and growth. These include determining blood components involved in atherosclerosis, effective blood viscosity, tissue properties, and methods proposed for boundary conditions. In addition to the guidelines, ongoing research on the effect of shear stress on platelet margination, activation and adhesion, and platelet-surface interactions are reviewed. Biotechnol. Bioeng. 2017;114: 2154-2172.
No takes yet. Share an insight, caveat, or question.
Hosseinzadegan et al. (2017) conducted a review in Thrombus formation. Computational modeling was evaluated. Computational modeling of thrombus formation and growth currently relies on a high degree of empiricism, with ongoing research focusing on shear stress and platelet interactions.
Synapse has enriched one closely related paper. Consider it for comparative context: