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Towards the prediction of plaque onset and growth in carotid arteries

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
We describe a computational platform to predict atherosclerotic plaque onset and growth in carotids. It integrates in-vivo data, Computational Fluid Dynamics (CFD) simulations and a model for plaque growth linearly correlating the plaque progression with low values of time-averaged Wall Shear Stresses (WSS). We show that steady CFD simulations give the same averaged-WSS values as unsteady simulations. Therefore, the model for plaque growth can be coupled with steady simulations, reducing the computational costs. Finally, by comparing the numerical predictions with the in-vivo data, we show that a modification must be introduced in the plaque growth model to obtain acceptable results.
Rocznik
Strony
631--635
Opis fizyczny
Bibliogr. 10 poz., rys.
Twórcy
  • University of Pisa, Dipartimento di Ingegneria Civile ed Industriale, Pisa, Italy
  • Fondazione Toscana G. Monasterio, BioEngineering Unit, BioCardioLab, Massa, Italy
  • Fondazione Toscana G. Monasterio, BioEngineering Unit, BioCardioLab, Massa, Italy
  • University of Pisa, Dipartimento di Ingegneria Civile ed Industriale, Pisa, Italy
  • University of Pisa, Dipartimento di Ingegneria Civile ed Industriale, Pisa, Italy
autor
  • Fondazione Toscana G. Monasterio, BioEngineering Unit, BioCardioLab, Massa, Italy
Bibliografia
  • 1. Biancolini M.E., Capellini K., Costa E., Groth C., Celi S., 2020, Fast interactive CFD evaluation of hemodynamics assisted by RBF mesh morphing and reduced order models: The case of aTAA modelling, International Journal on Interactive Design and Manufacturing (IJIDeM), 14, 1227-1238.
  • 2. Capellini K., Gasparotti E., Cella U., Costa E., Fanni B.M., Groth C., Porziani S., Biancolini M.E., Celi S., 2021, A novel formulation for the study of the ascending aortic fluid dynamics with in vivo data, Medical Engineering and Physics, 91, 68-78.
  • 3. Gessaghi V.C., Raschi M.A., Tanoni D.Y., Perazzo C.A., Larreteguy A.E., 2011, Growth model for cholesterol accumulation in the wall of a simplified 3D geometry of the carotid bifurcation, Computer Methods in Applied Mechanics and Engineering, 200, 23-24, 2117-2125.
  • 4. Lopes D., Puga H., Teixeira J., Lima R., 2020, Blood flow simulations in patient-specific geometries of the carotid artery: A systematic review, Journal of Biomechanics, 111, 110019.
  • 5. Marshall I., Papathanasopoulou P., Wartolowska K., 2004, Carotid flow rates and flow division at the bifurcation in healthy volunteers, Physiological Measurement, 25, 3, 691-697.
  • 6. Rafieian-Kopaei M., Setorki M., Doudi M., Baradaran A., Nasri H., 2014, Atherosclerosis: process, indicators, risk factors and new hopes, International Journal of Preventive Medicine, 5, 8, 927.
  • 7. Ross R., 1999, Atherosclerosis - an inflammatory disease, New England Journal of Medicine, 340, 2, 115-126.
  • 8. Tang D., Yang C., Mondal S., Liu F., Canton G., Hatsukami T.S., Yuan C., 2008, A negative correlation between human carotid atherosclerotic plaque progression and plaque wall stress: in vivo MRI-based 2D/3D FSI models, Journal of Biomechanics, 41, 4, 727-736.
  • 9. Townsend N., Wilson L., Bhatnagar P., Wickramasinghe K., Rayner M., Nichols M., 2016, Cardiovascular disease in Europe: epidemiological update 2016, European Heart Journal, 37, 42, 3232-3245.
  • 10. Weddell J.C., Kwack J., Imoukhuede P.I., Masud A., 2015, Hemodynamic analysis in an idealized artery tree: differences in wall shear stress between Newtonian and non-Newtonian blood models, PloS One, 10, 4, e0124575.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7e1733c2-6645-4aaf-bbab-f91a5d550938
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