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Title: Data-driven Modeling of Hemodynamics and its Role on Thrombus Size and Shape in Aortic Dissections

Abstract

Aortic dissection is a pathology that manifests due to microstructural defects in the aortic wall. Blood enters the damaged wall through an intimal tear, thereby creating a so-called false lumen and exposing the blood to thrombogenic intramural constituents such as collagen. The natural history of this acute vascular injury thus depends, in part, on thrombus formation, maturation, and possible healing within the false lumen. A key question is: Why do some false lumens thrombose completely while others thrombose partially or little at all? An ability to predict the location and extent of thrombus in subjects with dissection could contribute significantly to clinical decision-making, including interventional design. We develop, for the first time, a data-driven particle-continuum model for thrombus formation in a murine model of aortic dissection. In the proposed model, we simulate a final-value problem in lieu of the original initial-value problem with significantly fewer particles that may grow in size upon activation, thus representing the local concentration of blood-borne species. Numerical results confirm that geometry and local hemodynamics play significant roles in the acute progression of thrombus. Despite geometrical differences between murine and human dissections, mouse models can provide considerable insight and have gained popularity owing to their reproducibility.more » Our results for three classes of geometrically different false lumens show that thrombus forms and extends to a greater extent in regions with lower bulk shear rates. Dense thrombi are less likely to form in high-shear zones and in the presence of strong vortices. Here, the present data-driven study suggests that the proposed model is robust and can be employed to assess thrombus formation in human aortic dissections.« less

Authors:
 [1];  [1];  [2];  [2];  [3];  [2];  [1]
  1. Brown Univ., Providence, RI (United States)
  2. Yale Univ., New Haven, CT (United States)
  3. Northern Illinois Univ., DeKalb, IL (United States)
Publication Date:
Research Org.:
Oak Ridge National Laboratory, Oak Ridge Leadership Computing Facility (OLCF); Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
National Institutes of Health (NIH); USDOE Office of Science (SC)
OSTI Identifier:
1482728
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Accepted Manuscript
Journal Name:
Scientific Reports
Additional Journal Information:
Journal Volume: 8; Journal Issue: 1; Journal ID: ISSN 2045-2322
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES

Citation Formats

Yazdani, Alireza, Li, He, Bersi, Matthew R., Di Achille, Paolo, Insley, Joseph, Humphrey, Jay D., and Karniadakis, George Em. Data-driven Modeling of Hemodynamics and its Role on Thrombus Size and Shape in Aortic Dissections. United States: N. p., 2018. Web. doi:10.1038/s41598-018-20603-x.
Yazdani, Alireza, Li, He, Bersi, Matthew R., Di Achille, Paolo, Insley, Joseph, Humphrey, Jay D., & Karniadakis, George Em. Data-driven Modeling of Hemodynamics and its Role on Thrombus Size and Shape in Aortic Dissections. United States. doi:10.1038/s41598-018-20603-x.
Yazdani, Alireza, Li, He, Bersi, Matthew R., Di Achille, Paolo, Insley, Joseph, Humphrey, Jay D., and Karniadakis, George Em. Tue . "Data-driven Modeling of Hemodynamics and its Role on Thrombus Size and Shape in Aortic Dissections". United States. doi:10.1038/s41598-018-20603-x. https://www.osti.gov/servlets/purl/1482728.
@article{osti_1482728,
title = {Data-driven Modeling of Hemodynamics and its Role on Thrombus Size and Shape in Aortic Dissections},
author = {Yazdani, Alireza and Li, He and Bersi, Matthew R. and Di Achille, Paolo and Insley, Joseph and Humphrey, Jay D. and Karniadakis, George Em},
abstractNote = {Aortic dissection is a pathology that manifests due to microstructural defects in the aortic wall. Blood enters the damaged wall through an intimal tear, thereby creating a so-called false lumen and exposing the blood to thrombogenic intramural constituents such as collagen. The natural history of this acute vascular injury thus depends, in part, on thrombus formation, maturation, and possible healing within the false lumen. A key question is: Why do some false lumens thrombose completely while others thrombose partially or little at all? An ability to predict the location and extent of thrombus in subjects with dissection could contribute significantly to clinical decision-making, including interventional design. We develop, for the first time, a data-driven particle-continuum model for thrombus formation in a murine model of aortic dissection. In the proposed model, we simulate a final-value problem in lieu of the original initial-value problem with significantly fewer particles that may grow in size upon activation, thus representing the local concentration of blood-borne species. Numerical results confirm that geometry and local hemodynamics play significant roles in the acute progression of thrombus. Despite geometrical differences between murine and human dissections, mouse models can provide considerable insight and have gained popularity owing to their reproducibility. Our results for three classes of geometrically different false lumens show that thrombus forms and extends to a greater extent in regions with lower bulk shear rates. Dense thrombi are less likely to form in high-shear zones and in the presence of strong vortices. Here, the present data-driven study suggests that the proposed model is robust and can be employed to assess thrombus formation in human aortic dissections.},
doi = {10.1038/s41598-018-20603-x},
journal = {Scientific Reports},
number = 1,
volume = 8,
place = {United States},
year = {2018},
month = {2}
}

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