Review of Recent Results using Computational Fluid Dynamics Simulations
                        in Patients Receiving Mechanical Assist Devices for End-Stage Heart
                        Failure

Farag, Mina; Karmonik, Christof; Rengier, Fabian; Loebe, Matthias; Kretzler, Matthias; Tengg-Kobligk, Hendrik von; Ruhparwar, Arjang; Partovi, Sasan

doi:10.14797/mdcj-10-3-185

Cited by 21 publications

(12 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…CFD has been used in the optimisation of several commercial ventricular assist devices (VADs), investigating potential thrombogenicity by highlighting design-related regions of stasis and device characteristics resulting in high shear stress. 41 A tool for optimising thromboresistance has been recently demonstrated in a comparative study of two continuous flow VADs, which combines experimental and numerical simulation. 40 57 Numerical models can also contribute to the process of VAD implantation, informing the choice of catheter implantation site.…”

Section: Benefits Of Cardiovascular Cfd Modellingmentioning

confidence: 99%

Computational fluid dynamics modelling in cardiovascular medicine

Morris

Narracott

Tengg-Kobligk

et al. 2015

Heart

Self Cite

368

211

View full text Add to dashboard Cite

This paper reviews the methods, benefits and challenges associated with the adoption and translation of computational fluid dynamics (CFD) modelling within cardiovascular medicine. CFD, a specialist area of mathematics and a branch of fluid mechanics, is used routinely in a diverse range of safety-critical engineering systems, which increasingly is being applied to the cardiovascular system. By facilitating rapid, economical, low-risk prototyping, CFD modelling has already revolutionised research and development of devices such as stents, valve prostheses, and ventricular assist devices. Combined with cardiovascular imaging, CFD simulation enables detailed characterisation of complex physiological pressure and flow fields and the computation of metrics which cannot be directly measured, for example, wall shear stress. CFD models are now being translated into clinical tools for physicians to use across the spectrum of coronary, valvular, congenital, myocardial and peripheral vascular diseases. CFD modelling is apposite for minimally-invasive patient assessment. Patient-specific (incorporating data unique to the individual) and multi-scale (combining models of different length- and time-scales) modelling enables individualised risk prediction and virtual treatment planning. This represents a significant departure from traditional dependence upon registry-based, population-averaged data. Model integration is progressively moving towards ‘digital patient’ or ‘virtual physiological human’ representations. When combined with population-scale numerical models, these models have the potential to reduce the cost, time and risk associated with clinical trials. The adoption of CFD modelling signals a new era in cardiovascular medicine. While potentially highly beneficial, a number of academic and commercial groups are addressing the associated methodological, regulatory, education- and service-related challenges.

show abstract

Section: Benefits Of Cardiovascular Cfd Modellingmentioning

confidence: 99%

Computational fluid dynamics modelling in cardiovascular medicine

Morris

Narracott

Tengg-Kobligk

et al. 2015

Heart

Self Cite

368

211

View full text Add to dashboard Cite

show abstract

“…[7][8][9][10] However, previous studies using CFD have only reported blood flow analysis in the ascending aorta without the aortic root because of the complex anatomy of the aortic root and its components such as the aortic valve, coronary arteries, and Valsalva sinus. [11][12][13][14][15] To evaluate the three-dimensional blood flow in the aortic root, three-dimensional patient-specific geometries with accurate anatomy of the aortic root were reproduced using electrocardiogram-gated 320-slice computed tomographic (CT) images. 16 We hypothesized that the blood flow pattern in the ascending aorta in patients with LVAD with AI is different from that in patients with LVAD without AI, and that the angle and position of anastomosis of the outflow graft with the ascending aorta affect the retrograde blood flow pattern in the aortic root.…”

Section: Introductionmentioning

confidence: 99%

Impact of turbulent blood flow in the aortic root on de novo aortic insufficiency during continuous‐flow left ventricular‐assist device support

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The anastomosis of the outflow graft to left subclavian arteries has a similar hemodynamic performance in comparison to standard outflow graft connections. Angularity change of the graft anastomosis from 90° to 30° slightly increases the coronary and cerebral blood flow by 6% to 9% while significantly reduces the wall shear stress by 35% 14 …”

Section: Discussionmentioning

confidence: 98%

How to evaluate the outflow tract of LVAD after minimally invasive implantation by 3D CT‐scan

et al. 2020

View full text Add to dashboard Cite

During a minimally invasive implantation technique, the outflow graft of left ventricular assist device (LVAD) is tunnelled blindly through the pericardium or left pleura, with an inability to assess for twisting or malposition. Three-dimensional computed tomography scan (CT-scan) has a role in qualitative evaluation of the different outflow tract configurations. The different surgical minimally invasive approaches include: (a) mini-sternotomy and left mini-thoracotomy, (b) right mini-thoracotomy and left mini-thoracotomy, (c) subclavian artery access and left mini-thoracotomy. The outflow graft could be anastomosed to the left axillary artery or the ascending aorta. CT-scan reconstruction using syngo InSpace4D (Siemens, Muenchen, Germany) was used to provide fast segmentation and high-resolution images. The 3D reconstructions permit an evaluation of different anastomosis configurations and to assess the route of outflow graft.

show abstract

Review of Recent Results using Computational Fluid Dynamics Simulations in Patients Receiving Mechanical Assist Devices for End-Stage Heart Failure

Cited by 21 publications

References 33 publications

Computational fluid dynamics modelling in cardiovascular medicine

Computational fluid dynamics modelling in cardiovascular medicine

Impact of turbulent blood flow in the aortic root on de novo aortic insufficiency during continuous‐flow left ventricular‐assist device support

How to evaluate the outflow tract of LVAD after minimally invasive implantation by 3D CT‐scan

Contact Info

Product

Resources

About