Evidence map›Paper›PMID 29410467›Full record

ArticleScientific reports2018

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

Alireza Yazdani, He Li, Matthew R Bersi, Paolo Di Achille, Joseph Insley, Jay D Humphrey, George Em Karniadakis

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 34 citations in OpenAlex.

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  5. Coagulo-Net: Enhancing the mathematical modeling of blood coagulation using physics-informed neural networks.Neural networks : the official journal of the International Neural Network Society · 2024
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  6. Review
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  8. Decoding thrombosis through code: a review of computational models.Journal of thrombosis and haemostasis : JTH · 2024
    Review
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  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Numerical considerations for advection-diffusion problems in cardiovascular hemodynamics.International journal for numerical methods in biomedical engineering · 2020
    Article
  17. Article
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  20. Particle-based computational modelling of arterial disease.Journal of the Royal Society, Interface · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Alireza YazdaniDivision of Applied Mathematics, Brown University, Providence, RI, 02912, USA. alireza_yazdani@brown.edu.
He LiDivision of Applied Mathematics, Brown University, Providence, RI, 02912, USA.
Matthew R BersiDepartment of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA.
Paolo Di AchilleDepartment of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA.
Joseph InsleyArgonne National Laboratory, Argonne, IL 60439; Northern Illinois University, DeKalb, IL, 60115, USA.
Jay D HumphreyDepartment of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA.
George Em KarniadakisDivision of Applied Mathematics, Brown University, Providence, RI, 02912, USA. george_karniadakis@brown.edu.
Brown University · USYale University · USArgonne National Laboratory · US

Funding

Multiscale, Multiphysics Model of Thrombus Biomechanics in Aortic DissectionU01HL116323 · NHLBI · YALE UNIVERSITY · PI HUMPHREY, JAY D., KARNIADAKIS, GEORGE · 2013 to 2017
$2.4M
NHLBI NIH HHS U01 HL116323
6 · The paper itself

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. 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. The present data-driven study suggests that the proposed model is robust and can be employed to assess thrombus formation in human aortic dissections.

Indexed as

Models, CardiovascularAnimalsAortic DissectionDisease Models, AnimalHemodynamicsMaleMiceMice, Knockout, ApoEThrombosis

Identifiers

PMID29410467
PMCPMC5802786
OpenAlexW2807587701

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.