Predictive Models of Coronary Artery Disease Based on Computational Modeling: The SMARTool System

Sakellarios, Antonis I.; Tsompou, Panagiota; Siogkas, Panagiotis K.; Kigka, Vassiliki I.; Andrikos, Ioannis; Tachos, Nikolaos S.; Georga, Elena; Kyriakidis, Savvas; Rocchiccioli, Silvia; Pelosi, G; Fotiadis, Dimitrios I.

doi:10.1109/embc.2019.8857040

Cited by 6 publications

(3 citation statements)

References 10 publications

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“…ESS was assessed using dedicated software (SMARTool version 0.9.17, FORTH, Ioannina, Greece) by the following consecutive steps. [22][23][24] First, three-dimensional reconstructions were created of each vessel in the shape of a tetrahedral mesh. 22,25 Second, steady-state flow simulations were performed using finite element software (ANSYS CFX version 18.1, Canonsburg, Philadelphia, PA, USA) for the solution of Navier-Stokes and continuity equations.…”

Section: Analysis Of Ess Featuresmentioning

confidence: 99%

“…[22][23][24] First, three-dimensional reconstructions were created of each vessel in the shape of a tetrahedral mesh. 22,25 Second, steady-state flow simulations were performed using finite element software (ANSYS CFX version 18.1, Canonsburg, Philadelphia, PA, USA) for the solution of Navier-Stokes and continuity equations. 21 To this end, specific boundary conditions were applied.…”

Section: Analysis Of Ess Featuresmentioning

confidence: 99%

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Detailed behaviour of endothelial wall shear stress across coronary lesions from non-invasive imaging with coronary computed tomography angiography

Hoogen

Schultz

Kuneman

et al. 2022

European Heart Journal - Cardiovascular Imaging

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Aims Evolving evidence suggests that endothelial wall shear stress (ESS) plays a crucial role in the rupture and progression of coronary plaques by triggering biological signalling pathways. We aimed to investigate the patterns of ESS across coronary lesions from non-invasive imaging with coronary computed tomography angiography (CCTA), and to define plaque-associated ESS values in patients with coronary artery disease (CAD). Methods and results Symptomatic patients with CAD who underwent a clinically indicated CCTA scan were identified. Separate core laboratories performed blinded analysis of CCTA for anatomical and ESS features of coronary atherosclerosis. ESS was assessed using dedicated software, providing minimal and maximal ESS values for each 3 mm segment. Each coronary lesion was divided into upstream, start, minimal luminal area (MLA), end and downstream segments. Also, ESS ratios were calculated using the upstream segment as a reference. From 122 patients (mean age 64 ± 7 years, 57% men), a total of 237 lesions were analyzed. Minimal and maximal ESS values varied across the lesions with the highest values at the MLA segment [minimal ESS 3.97 Pa (IQR 1.93–8.92 Pa) and maximal ESS 5.64 Pa (IQR 3.13–11.21 Pa), respectively]. Furthermore, minimal and maximal ESS values were positively associated with stenosis severity (P < 0.001), percent atheroma volume (P < 0.001), and lesion length (P ≤ 0.023) at the MLA segment. Using ESS ratios, similar associations were observed for stenosis severity and lesion length. Conclusions Detailed behaviour of ESS across coronary lesions can be derived from routine non-invasive CCTA imaging. This may further improve risk stratification.

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Section: Analysis Of Ess Featuresmentioning

confidence: 99%

Section: Analysis Of Ess Featuresmentioning

confidence: 99%

Detailed behaviour of endothelial wall shear stress across coronary lesions from non-invasive imaging with coronary computed tomography angiography

Hoogen

Schultz

Kuneman

et al. 2022

European Heart Journal - Cardiovascular Imaging

View full text Add to dashboard Cite

show abstract

“…The left main artery (LM) was excluded from the simulations. A tetrahedral mesh was then created for each 3D arterial model [21]. Steady state flow simulations based on the incompressible Navier-Stokes equations were performed using finite element commercial software (ANSYS CFX version 18.1, Canonsburg, Philadelphia) [22].…”

Section: Computational Fluid Dynamics and Endothelial Wall Shear Stressmentioning

confidence: 99%

Coronary computed tomography angiography based endothelial wall shear stress in normal coronary arteries

Schultz

Hoogen

Kuneman

et al. 2022

European Heart Journal

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Background Endothelial wall shear stress (ESS) is a biomechanical force which plays a key role in the formation and evolution of atherosclerotic lesions. Purpose This study aims to evaluate ESS in coronary arteries without atherosclerosis, and to assess various factors affecting ESS values. Methods Coronary computed tomography angiography (CCTA) images from patients with suspected coronary artery disease were analyzed to identify coronary arteries without atherosclerosis. Minimal and maximal ESS values were calculated for 3-mm segments with dedicated software. Segments were categorized according to lumen diameter tertiles into small (<2.6 mm), intermediate (2.6–3.2 mm) or large (≥3.2 mm) size classes. Normal ranges of minimal and maximal ESS values were calculated per vessel and vessel size. Results A total of 349 normal vessels from 168 patients (mean age 59.4±9.2 years, 39% men) were included. ESS was highest in the left anterior descending artery compared to the left circumflex and the right coronary arteries (2.3 Pa vs. 1.9 Pa vs. 1.6 Pa for minimal ESS, p<0.001 and 3.7 Pa vs. 3.0 Pa vs. 2.5 Pa for maximal ESS, p<0.001). ESS values were highest in small vessel segments compared to intermediate or large segments (3.8 Pa vs. 1.7 Pa vs. 1.2 Pa for minimal ESS, p<0.001 and 6.0 Pa vs. 2.6 Pa vs. 2.0 Pa for maximal ESS, p<0.001). Weak to moderate correlation was found between ESS and the distance from the ostium (ρ values ranging from 0.22 to 0.62 for different vessels). Conclusion We derived ESS values from the CCTA images for visually normal coronary arteries. ESS values depend strongly on the lumen diameter of the coronary vessel. The normal ranges of minimal and maximal ESS can be used in future studies, where ESS values in stenotic lesions are compared to the normal values derived in the present analysis. Funding Acknowledgement Type of funding sources: Foundation. Main funding source(s): Finnish Foundation for Cardiovascular Research

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Coronary Artery Disease Prediction Techniques: A Survey

Joshi

Shah

2021

Proceedings of Second International Conference on Computing, Communications, and Cyber-Security

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Predictive Models of Coronary Artery Disease Based on Computational Modeling: The SMARTool System

Cited by 6 publications

References 10 publications

Detailed behaviour of endothelial wall shear stress across coronary lesions from non-invasive imaging with coronary computed tomography angiography

Detailed behaviour of endothelial wall shear stress across coronary lesions from non-invasive imaging with coronary computed tomography angiography

Coronary computed tomography angiography based endothelial wall shear stress in normal coronary arteries

Coronary Artery Disease Prediction Techniques: A Survey

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