Utilizing Computational Fluid Dynamics in Cardiovascular Engineering and Medicine-What You Need to Know. Its Translation to the Clinic/Bedside

Bluestein, Danny

doi:10.1111/aor.12914

Cited by 29 publications

(28 citation statements)

References 21 publications

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“…Although still far from clinical application on a daily basis, there is an increasing recognition shared by clinicians of the potential benefit that patient-specific modelling may bring to the clinical decision process. [59] To increase confidence towards this approach, a larger clinical study would be the way forward to challenge and validate patient-specific simulations.…”

Section: Discussionmentioning

confidence: 99%

Decision-making in advanced heart failure patients requiring LVAD insertion: Can preoperative simulation become the way forward? A case study

Capoccia

Marconi

C³

2018

JBEI

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Clinical practice heavily relies on results from randomized controlled trials, which may not reflect completely individual patients. Patient-specific modelling has received increasing attention in recent years. Although still far from clinical application on a daily basis, the potential of this approach is significant. The treatment of advanced heart failure may benefit from a modelling framework to guide device treatment and predict outcome. The role of mechanical circulatory support as a long-term solution is increasing in view of the evolving technology and worsening heart failure patient population. Therefore, a preoperative strategy with the ability to predict the course of events in a simulation setting may be justified. Here we present a heart failure patient discussed at a multidisciplinary team meeting whose outcome was compared with simulations carried out with CARDIOSIM$^{©}$ software to investigate the role of this approach as a planning strategy to guide intervention and predict outcome. The clinical decision process is complex and many factors are involved. Patient-specific modelling may have a role to play as part of a preoperative planning strategy with more quantitative evaluation to smooth decision-making.

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Section: Discussionmentioning

confidence: 99%

Decision-making in advanced heart failure patients requiring LVAD insertion: Can preoperative simulation become the way forward? A case study

Capoccia

Marconi

C³

2018

JBEI

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“…Recently, organizations such as the Food and Drug Administration (FDA) have formulated new guidelines that accept CFD methods in the research and development pipeline of new medical treatments (Bluestein, 2017). Various studies have attempted CFD modeling of blood flow in vessels.…”

Section: In Silico Modelsmentioning

confidence: 99%

“…There is also a growing demand to eliminate animal testing that can be replaced with in silico models; however, the capability of current models to simulate foam flow is yet to be fully studied. Recently, organizations such as the Food and Drug Administration (FDA) have formulated new guidelines that accept CFD methods in the research and development pipeline of new medical treatments (Bluestein, 2017). Various studies have attempted CFD modeling of blood flow in vessels.…”

Section: Physical Characterization Of Sclerosing Foamsmentioning

confidence: 99%

Foam‐in‐vein: A review of rheological properties and characterization methods for optimization of sclerosing foams

et al. 2020

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Varicose veins are chronic venous defects that affect >20% of the population in developed countries. Among potential treatments, sclerotherapy is one of the most commonly used. It involves endovenous injection of a surfactant solution (or foam) in varicose veins, inducing damage to the endothelial layer and subsequent vessel sclerosis. Treatments have proven to be effective in the short-term, however recurrence is reported at rates of up to 64% 5-year post-treatment. Thus, once diagnosed with varicosities there is a high probability of a permanently reduced quality of life. Recently, foam sclerotherapy has become increasingly popular over its liquid counterpart, since foams can treat larger and longer varicosities more effectively, they can be imaged using ultrasound, and require lower amounts of sclerosing agent. In order to minimize recurrence rates however, an investigation of current treatment methods should lead to more effective and long-lasting effects. The literature is populated with studies aimed at characterizing the fundamental physics of aqueous foams; nevertheless, there is a significant need for appropriate product development platforms. Despite successfully capturing the microstructural evolution of aqueous foams, the complexity of current models renders them inadequate for pharmaceutical development. This review article will focus on the physics of foams and the attempts at optimizing them for sclerotherapy. This takes the form of a discussion of the most recent numerical and experimental models, as well as an overview of clinically relevant parameters. This holistic approach could contribute to better foam characterization methods that patients may eventually derive long term benefit from.

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“…For this reason not every value of FFR provides a direct interpretation of the vasculature. Alternatively there have been investigations that use computational fluid dynamics (CFD) solutions to measure the FFR using the patient-specific CFD solutions [18] (also see recent reviews [19,20]). Even with this approach, the FFR is only derived while other functional variables computed by CFD are not used.…”

Section: Functional Approachmentioning

confidence: 99%

Topological Data Analysis of Vascular Disease: A Theoretical Framework

Nicponski

Jung

2020

Front. Appl. Math. Stat.

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Vascular disease is a leading cause of death world wide and therefore the treatment thereof is critical. Understanding and classifying the types and levels of stenosis can lead to more accurate and better treatment of vascular disease. In this paper, we propose a new methodology using topological data analysis, which can serve as a supplementary way of diagnosis to currently existing methods. We show that we may use persistent homology as a tool to measure stenosis levels for various types of stenotic vessels. We first propose the critical failure value, which is an application of the 1-dimensional homology to stenotic vessels as a generalization of the percent stenosis. We then propose the spherical projection method, which is meant to allow for future classification of different types and levels of stenosis. We use the 2-dimensional homology of the spherical projection and showed that it can be used as a new index of vascular characterization. The main interest of this paper is to focus on the theoretical development of the framework for the proposed method using a simple set of vascular data.

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Utilizing Computational Fluid Dynamics in Cardiovascular Engineering and Medicine-What You Need to Know. Its Translation to the Clinic/Bedside

Cited by 29 publications

References 21 publications

Decision-making in advanced heart failure patients requiring LVAD insertion: Can preoperative simulation become the way forward? A case study

Decision-making in advanced heart failure patients requiring LVAD insertion: Can preoperative simulation become the way forward? A case study

Foam‐in‐vein: A review of rheological properties and characterization methods for optimization of sclerosing foams

Topological Data Analysis of Vascular Disease: A Theoretical Framework

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