Numerical analysis of wall shear stress in ascending aorta before tearing in type A aortic dissection

Chi, Qingzhuo; He, Ying; Luan, Yihui; Qin, Kairong; Mu, Lizhong

doi:10.1016/j.compbiomed.2017.07.029

Cited by 46 publications

(38 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This narrowing led to high velocities in the descending TL and elevated WSS. Chi et al [29] showed that high WSS regions in non-dissected models often correspond to tear positions in type A dissection, while low WSS in the FL could promote FL thrombosis [14]. In this work the FL presented TAWSS close to zero, whist high TAWSS values were found in the proximity of tears, where the flow jets impinged on the aortic wall.…”

Section: Discussionmentioning

confidence: 51%

“…Aortic dissection can cause serious complications, such as aortic aneurysm and rupture (with internal bleeding) and organ malperfusion. Computational methods have been employed to study the complex phenomena involved in dissection development [27][28][29], thrombosis [14,15] and progression [19]. However, the limited availability of patient-specific flow data led to the common use of idealized boundary conditions (BCs), such as flat or Womersley velocity profiles based on representative aortic flow waveforms at the inlet, and constant pressure or mass flow division at outlets.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

4-D Flow MRI-Based Computational Analysis of Blood Flow in Patient-Specific Aortic Dissection

Pirola

Guo

Menichini

et al. 2019

IEEE Trans. Biomed. Eng.

View full text Add to dashboard Cite

Computational hemodynamics studies of aortic dissections usually combine patient-specific geometries with idealized or generic boundary conditions. In this study we present a comprehensive methodology for simulations of hemodynamics in type B aortic dissection (TBAD) based on fully patient-specific boundary conditions. Methods: Pre-operative 4D flow magnetic resonance imaging (MRI) and Doppler-wire pressure measurements (pre-and post-operative) were acquired from a TBAD patient. These data were used to derive boundary conditions for computational modelling of flow before and after thoracic endovascular repair (TEVAR). Validations of the computational results were performed by comparing predicted flow patterns with pre-TEVAR 4D flow MRI, as well as pressures with in vivo measurements. Results and Conclusion: Comparison of instantaneous velocity streamlines showed a good qualitative agreement with 4D flow MRI. Quantitative comparison of predicted pressures with pressure measurements revealed a maximum difference of 11 mmHg (-9.7%). Furthermore, our model correctly predicted the reduction of true lumen pressure from 74/115 mmHg pre-TEVAR to 64/107 mmHg post-TEVAR (diastolic/systolic pressures at entry tear level), compared to the corresponding measurements of 72/118 mmHg and 64/114 mmHg. This demonstrates that pre-TEVAR 4D flow MRI can be used to tune boundary conditions for post-TEVAR hemodynamic analyses.

show abstract

Section: Discussionmentioning

confidence: 51%

Section: Discussionmentioning

confidence: 99%

4-D Flow MRI-Based Computational Analysis of Blood Flow in Patient-Specific Aortic Dissection

Pirola

Guo

Menichini

et al. 2019

IEEE Trans. Biomed. Eng.

View full text Add to dashboard Cite

show abstract

“…Depending on the analyzed case, blood is considered as a Newtonian [16] or non-Newtonian fluid [17]. Moreover, the influence of blood hemodynamic on a vessel's wall with the use of wall shear stress may be investigated with CFD technique [18]. Blood flow simulation provides important information, crucial for assessment of blood distribution for patients affected by vascular diseases, e.g., stenosis or aortic dissection [19,20].…”

Section: Introductionmentioning

confidence: 99%

Shape and Enhancement Analysis as a Useful Tool for the Presentation of Blood Hemodynamic Properties in the Area of Aortic Dissection

Polańczyk

Piechota-Polańczyk

Stefańczyk

et al. 2020

JCM

View full text Add to dashboard Cite

The aim of this study was to create a mathematical approach for blood hemodynamic description with the use of brightness analysis. Medical data was collected from three male patients aged from 45 to 65 years with acute type IIIb aortic dissection that started proximal to the left subclavian artery and involved the renal arteries. For the recognition of wall dissection areas Digital Imaging and Communications in Medicine (DICOM) data were applied. The distance from descending aorta to the diaphragm was analyzed. Each time Feret (DF) and Hydraulic (DHy) diameter were calculated. Moreover, an average brightness (BAV) was analyzed. Finally, to describe blood hemodynamic in the area of aortic wall dissection, mathematical function combining difference in brightness value and diameter for each computed tomography (CT) scan was calculated. The results indicated that DF described common duct more accurately compare to DHy. While, DHy described more accurately true and false ducts. Each time when connection of true and false duct appeared, true duct had lower brightness compare to common duct and false duct. Moreover, false duct characterized with higher brightness compare to common duct. In summary, the proposed algorithm mimics changes in brightness value for patients with acute type IIIb aortic dissection.

show abstract

“…Simulations can also help enhance our hitherto limited understanding of the pathogenesis and early arterial remodeling that is characteristic of aneurysms and dissections, thus leading to an improved prognostic capability and therapeutic design. Computational models of the biosolid and biofluid mechanics suggest, for example, that pressure-induced hotspots of elevated normal wall stress (Nathan et al 2011) and flow-induced hotspots of elevated wall shear stress (Chi et al 2017) occur around the branching regions of the aortic arch, where initial dissecting tears often manifest. A continuing limitation of computational models, however, is the lack of validation due to the paucity of longitudinal patient data, particularly during early stages of the disease.…”

Section: Introductionmentioning

confidence: 99%

Co-localization of microstructural damage and excessive mechanical strain at aortic branches in angiotensin-II-infused mice

Aslanidou

Ferraro

Lovrić

et al. 2019

Biomech Model Mechanobiol

View full text Add to dashboard Cite

show abstract

Numerical analysis of wall shear stress in ascending aorta before tearing in type A aortic dissection

Cited by 46 publications

References 39 publications

4-D Flow MRI-Based Computational Analysis of Blood Flow in Patient-Specific Aortic Dissection

4-D Flow MRI-Based Computational Analysis of Blood Flow in Patient-Specific Aortic Dissection

Shape and Enhancement Analysis as a Useful Tool for the Presentation of Blood Hemodynamic Properties in the Area of Aortic Dissection

Co-localization of microstructural damage and excessive mechanical strain at aortic branches in angiotensin-II-infused mice

Contact Info

Product

Resources

About