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The International Journal of Cardiovascular Imaging
Erschienen in: The International Journal of Cardiovascular Imaging 12/2020

10.08.2020 | Review Paper

Physiology and coronary artery disease: emerging insights from computed tomography imaging based computational modeling

verfasst von: Parastou Eslami, Vikas Thondapu, Julia Karady, Eline M. J. Hartman, Zexi Jin, Mazen Albaghdadi, Michael Lu, Jolanda J. Wentzel, Udo Hoffmann

Erschienen in: The International Journal of Cardiovascular Imaging | Ausgabe 12/2020

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Abstract

Improvements in spatial and temporal resolution now permit robust high quality characterization of presence, morphology and composition of coronary atherosclerosis in computed tomography (CT). These characteristics include high risk features such as large plaque volume, low CT attenuation, napkin-ring sign, spotty calcification and positive remodeling. Because of the high image quality, principles of patient-specific computational fluid dynamics modeling of blood flow through the coronary arteries can now be applied to CT and allow the calculation of local lesion-specific hemodynamics such as endothelial shear stress, fractional flow reserve and axial plaque stress. This review examines recent advances in coronary CT image-based computational modeling and discusses the opportunity to identify lesions at risk for rupture much earlier than today through the combination of anatomic and hemodynamic information.
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Metadaten
Titel
Physiology and coronary artery disease: emerging insights from computed tomography imaging based computational modeling
verfasst von
Parastou Eslami
Vikas Thondapu
Julia Karady
Eline M. J. Hartman
Zexi Jin
Mazen Albaghdadi
Michael Lu
Jolanda J. Wentzel
Udo Hoffmann
Publikationsdatum
10.08.2020
Verlag
Springer Netherlands
Erschienen in
The International Journal of Cardiovascular Imaging / Ausgabe 12/2020
Print ISSN: 1569-5794
Elektronische ISSN: 1875-8312
DOI
https://doi.org/10.1007/s10554-020-01954-x

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