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Updated: Mar 11, 2026
In Vitro Microfluidic Disease Model to Study Whole Blood-Endothelial Interactions and Blood Clot Dynamics in Real-Time
Published on: May 24, 2020
Choice of a hemodynamic model for occlusive thrombosis in arteries
David N Ku1, Lauren D C Casa1, Susan M Hastings1
1G.W. Woodruff School of Mechanical Engineering Georgia Institute of Technology, USA.
Insights
A new computational model predicts blood clot formation based on blood flow conditions. This model accurately forecasts clot growth and occlusion times, potentially improving patient outcomes for thrombosis-related events.
Area of Science:
- Biomedical Engineering
- Computational Fluid Dynamics
- Cardiovascular Science
Background:
- Intravascular thrombosis causes heart attacks and strokes, leading causes of death.
- Identifying hemodynamic conditions is crucial for predicting thrombotic occlusion and improving patient outcomes.
Purpose of the Study:
- To develop and validate a computational model for thrombus growth prediction.
- To assess the role of local hemodynamic shear rate in acute thrombosis.
Main Methods:
- A computational model was developed to simulate thrombus growth based on local hemodynamic shear rate.
- Model predictions were compared with in vitro experimental data from stenotic glass capillary tubes, microfluidic channels, and a stenotic aorto-iliac graft.
Main Results:
- The computational model accurately predicted thrombus deposition and occlusion times.
- Experimental results showed excellent agreement with the model's predictions.
- Local shear rate was identified as a critical factor in acute thrombosis.
Conclusions:
- The developed computational model effectively predicts thrombus growth and occlusion.
- Hemodynamic characterization shows potential clinical utility for managing thrombotic events.
- Understanding local shear rate's role can lead to improved patient outcomes in cardiovascular medicine.
Abstract:
Intravascular thrombosis can lead to heart attacks and strokes that together are the leading causes of death in the US (Kochanek, K.D., Murphy, S.L., Xu, J.Q., 2014). The ability to identify the offending biofluid mechanical conditions and predict the timescale of thrombotic occlusion in vessels and devices may improve patient outcomes. A computational model was developed to describe the growth of thrombus based on the local hemodynamic shear rate. The model predicts thrombus deposition based on initial geometric and fluid mechanical conditions, which are updated throughout the simulation to reflect the changing lumen dimensions. Thrombus growth and occlusion from whole blood was measured in in vitro experiments using stenotic glass capillary tubes, a PDMS microfluidic channel, and a PTFE stenotic aorto-iliac graft. Comparison of the predicted occlusion times to experimental results shows excellent agreement. The results indicate that local shear rate plays a critical role in acute thrombosis, and that hemodynamic characterization may have clinical utility.
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