title: A Predictive Model of High Shear Thrombus Growth.
abstract: The ability to predict the timescale of thrombotic occlusion in stenotic vessels may improve patient risk assessment for thrombotic events. In blood contacting devices, thrombosis predictions can lead to improved designs to minimize thrombotic risks. We have developed and validated a model of high shear thrombosis based on empirical correlations between thrombus growth and shear rate. A mathematical model was developed to predict the growth of thrombus based on the hemodynamic shear rate. The model predicts thrombus deposition based on initial geometric and fluid mechanic conditions, which are updated throughout the simulation to reflect the changing lumen dimensions. The model was validated by comparing predictions against actual thrombus growth in six separate in vitro experiments: stenotic glass capillary tubes (diameter = 345 µm) at three shear rates, the PFA-100(®) system, two microfluidic channel dimensions (heights = 300 and 82 µm), and a stenotic aortic graft (diameter = 5.5 mm). Comparison of the predicted occlusion times to experimental results shows excellent agreement. The model is also applied to a clinical angiography image to illustrate the time course of thrombosis in a stenotic carotid artery after plaque cap rupture. Our model can accurately predict thrombotic occlusion time over a wide range of hemodynamic conditions.
authors.affiliation: George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
authors.forename: Marmar
authors.initials: M
authors.lastname: Mehrabadi
authors.affiliation: George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
authors.forename: Lauren D C
authors.initials: LDC
authors.lastname: Casa
authors.affiliation: George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
authors.forename: Cyrus K
authors.initials: CK
authors.lastname: Aidun
authors.affiliation: George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA. david.ku@me.gatech.edu.
authors.forename: David N
authors.initials: DN
authors.lastname: Ku
mesh_terms: D000818:Animals; D044085:Microfluidics / Q000379:methods*; D008955:Models, Cardiovascular; D011237:Predictive Value of Tests; D033081:Shear Strength; D013552:Swine; D013927:Thrombosis / Q000378:metabolism* / Q000503:physiopathology*
keywords: Arterial thrombosis; Model; Occlusion; Platelet aggregation