An integrated fluid-chemical model toward modeling the thrombus formation in an idealized model of aortic dissection

2021 ◽  
pp. 104709
Author(s):  
Yan Wang ◽  
Kun Luo ◽  
Yonghui Qiao ◽  
Jianren Fan
Keyword(s):  
Aortic Dissection ◽  
Thrombus Formation ◽  
Chemical Model ◽  
Idealized Model

scholarly journals TCT-542 False Lumen Thrombus Formation and Long-Term Outcomes in Type B Aortic Dissection

2013 ◽  
Vol 62 (18) ◽  
pp. B163-B164
Author(s):  
Keith Thompson ◽  
Armen Chalian ◽  
Ryan Clare ◽  
Albert Yuh-Jer Shen ◽  
Steven Khan ◽  
...  
Keyword(s):  
Aortic Dissection ◽  
Thrombus Formation ◽  
False Lumen ◽  
Type B ◽  
Type B Aortic Dissection ◽  
Long Term Outcomes

Mobility of the Intimal Flap and Thrombus Formation in Aortic Dissection: A Transesophageal Echocardiographic Study

1993 ◽  
Vol 10 (3) ◽  
pp. 279-288 ◽  
Author(s):  
RAYMOND ROUDAUT ◽  
JEAN-MICHEL CHEVALIER ◽  
PASCAL BARBEAU ◽  
PHILIPPE EGLOFF ◽  
PHILIPPE GOSSE ◽  
...  
Keyword(s):  
Aortic Dissection ◽  
Thrombus Formation ◽  
Intimal Flap ◽  
Echocardiographic Study

scholarly journals Predicting false lumen thrombosis in patient-specific models of aortic dissection

2016 ◽  
Vol 13 (124) ◽  
pp. 20160759 ◽  
Author(s):  
Claudia Menichini ◽  
Zhuo Cheng ◽  
Richard G. J. Gibbs ◽  
Xiao Yun Xu
Keyword(s):  
Aortic Dissection ◽  
Clinical Decision Making ◽  
Thrombus Formation ◽  
False Lumen ◽  
Clinical Decision ◽  
Growth Patterns ◽  
Diffusion Reaction ◽  
Patient Specific ◽  
Type B ◽  
Type B Dissection

Aortic dissection causes splitting of the aortic wall layers, allowing blood to enter a ‘false lumen’ (FL). For type B dissection, a significant predictor of patient outcomes is patency or thrombosis of the FL. Yet, no methods are currently available to assess the chances of FL thrombosis. In this study, we present a new computational model that is capable of predicting thrombus formation, growth and its effects on blood flow under physiological conditions. Predictions of thrombus formation and growth are based on fluid shear rate, residence time and platelet distribution, which are evaluated through convection–diffusion–reaction transport equations. The model is applied to a patient-specific type B dissection for which multiple follow-up scans are available. The predicted thrombus formation and growth patterns are in good qualitative agreement with clinical data, demonstrating the potential applicability of the model in predicting FL thrombosis for individual patients. Our results show that the extent and location of thrombosis are strongly influenced by aortic dissection geometry that may change over time. The high computational efficiency of our model makes it feasible for clinical applications. By predicting which aortic dissection patient is more likely to develop FL thrombosis, the model has great potential to be used as part of a clinical decision-making tool to assess the need for early endovascular intervention for individual dissection patients.

scholarly journals Data-driven Modeling of Thrombus Size and Shape in Aortic Dissections: Role of Hemodynamics

2017 ◽  
Author(s):  
Alireza Yazdani ◽  
He Li ◽  
Matthew R. Bersi ◽  
Paolo Di Achille ◽  
Joseph Insley ◽  
...  
Keyword(s):  
Aortic Dissection ◽  
Clinical Decision Making ◽  
Thrombus Formation ◽  
False Lumen ◽  
Shear Zones ◽  
Data Driven ◽  
Structural Defects ◽  
Local Concentration ◽  
Proposed Model ◽  
Aortic Dissections

AbstractAortic dissection is a pathology that manifests due to micro-structural defects in the aortic wall. Blood enters the damaged wall through an intimal tear, thereby creating a so-calledfalse lumenand 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 other 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-drivenparticle-continuummodel 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, 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 in 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.

scholarly journals Prediction of thrombus formation using vortical structures presentation in Stanford type B aortic dissection: A preliminary study using CFD approach

2016 ◽  
Vol 40 (4) ◽  
pp. 3115-3127 ◽  
Author(s):  
Wan Naimah Wan Ab Naim ◽  
Poo Balan Ganesan ◽  
Zhonghua Sun ◽  
Yih Miin Liew ◽  
Yi Qian ◽  
...  
Keyword(s):  
Aortic Dissection ◽  
Thrombus Formation ◽  
Type B ◽  
Type B Aortic Dissection ◽  
Vortical Structures ◽  
Preliminary Study ◽  
Stanford Type B

Postoperative Thrombus Formation in the False Lumen Following Surgical Repair of Aortic Dissection

1993 ◽  
Vol 27 (1) ◽  
pp. 27-32
Author(s):  
Isao Yada ◽  
Tomoaki Satoh ◽  
Kiyoto Wada ◽  
Tohoru Mizumoto ◽  
Takatugu Shimono ◽  
...  
Keyword(s):  
Aortic Dissection ◽  
Surgical Repair ◽  
Thrombus Formation ◽  
False Lumen

Thrombus formation on artificial surfaces: Correlative microscopy

1990 ◽  
Vol 48 (3) ◽  
pp. 840-841
Author(s):  
Quintin J. Lai ◽  
Stuart L. Cooper ◽  
Ralph M. Albrecht
Keyword(s):  
Electron Microscopy ◽  
High Resolution ◽  
Low Voltage ◽  
Thrombus Formation ◽  
Blood Platelets ◽  
Polymer Surfaces ◽  
Flow Conditions ◽  
Transmission Electron ◽  
Adhesion Of Platelets ◽  
Microscopic Techniques

Thrombus formation and embolization are significant problems for blood-contacting biomedical devices. Two major components of thrombi are blood platelets and the plasma protein, fibrinogen. Previous studies have examined interactions of platelets with polymer surfaces, fibrinogen with platelets, and platelets in suspension with spreading platelets attached to surfaces. Correlative microscopic techniques permit light microscopic observations of labeled living platelets, under static or flow conditions, followed by the observation of identical platelets by electron microscopy. Videoenhanced, differential interference contrast (DIC) light microscopy permits high-resolution, real-time imaging of live platelets and their interactions with surfaces. Interference reflection microscopy (IRM) provides information on the focal adhesion of platelets on surfaces. High voltage, transmission electron microscopy (HVEM) allows observation of platelet cytoskeletal structure of whole mount preparations. Low-voltage, high resolution, scanning electron microscopy allows observation of fine surface detail of platelets. Colloidal gold-labeled fibrinogen, used to identify the Gp Ilb/IIIa membrane receptor for fibrinogen, can be detected in all the above microscopies.

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