Non-invasive coronary CT angiography-derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different...
Carson J. M., Pant S., Roobottom C., Alcock R., Javier B. P., Alberto B. C., Vasilevskij Yu. V., Simakov S. S., Gamilov T. M., Pryamonosov R. A., Lyan F., Ge X., Liu Y., Nithiarasu P.
International Journal for Numerical Methods in Biomedical Engineering
Vol.35, Issue10, Num.e3235
Опубликовано: 2019
Тип ресурса: Статья
Аннотация:
Non-invasive coronary computed tomography (CT) angiography-derived fractional flow reserve (cFFR) is an emergent approach to determine the functional relevance of obstructive coronary lesions. Its feasibility and diagnostic performance has been reported in several studies. It is unclear if differences in sensitivity and specificity between these studies are due to study design, population, or "computational methodology." We evaluate the diagnostic performance of four different computational workflows for the prediction of cFFR using a limited data set of 10 patients, three based on reduced-order modelling and one based on a 3D rigid-wall model. The results for three of these methodologies yield similar accuracy of 6.5[%] to 10.5[%] mean absolute difference between computed and measured FFR. The main aspects of modelling which affected cFFR estimation were choice of inlet and outlet boundary conditions and estimation of flow distribution in the coronary network. One of the reduced-order mod
Ключевые слова:
benchmark; fractional flow reserve; haemodynamic models
Angiography; Benchmarking; Computerized tomography; Data reduction; Drops; Estimation; Heart; Pressure drop; Computational methodology; Computational workflows; Computed tomography angiography; Coronary ct angiographies; Fractional flow reserves; Mean absolute differences; Outlet boundary condition; Sensitivity and specificity; 3D modeling; aged; algorithm; computed tomographic angiography; coronary angiography; coronary blood vessel; diagnostic imaging; female; fractional flow reserve; heart; hemodynamics; human; male; middle aged; pathology; pathophysiology; physiology; procedures; very elderly; x-ray computed tomography; Aged; Aged, 80 and over; Algorithms; Computed Tomography Angiography; Coronary Angiography; Coronary Vessels; Female; Fractional Flow Reserve, Myocardial; Heart; Hemodynamics; Humans; Male; Middle Aged; Tomography, X-Ray Computed
Язык текста: Английский
ISSN: 2040-7947
Carson J. M.
Pant S.
Roobottom C.
Alcock R.
Javier B. P. Blanco P.
Alberto B. C. Bulant C.
Vasilevskij Yu. V. Yurij Viktorovich 1967-
Simakov S. S. Sergej Sergeevich 1980-
Gamilov T. M. Timur Mudarisovich 1988-
Pryamonosov R. A. Roman Aleksandrovich 1992-
Lyan F. Fuyu 1978-
Ge X.
Liu Y.
Nithiarasu P.
Cарсон Й. М.
Пант С.
Рооботтом C.
Алcоcк Р.
Йавиер Б. П. Бланcо П.
Алберто Б. C. Булант C.
Василевский Ю. В. Юрий Викторович 1967-
Симаков С. С. Сергей Сергеевич 1980-
Гамилов Т. М. Тимур Мударисович 1988-
Прямоносов Р. А. Роман Александрович 1992-
Лян Ф. Фую 1978-
Ге Х.
Лиу Y.
Нитхиарасу П.
Non-invasive coronary CT angiography-derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different computational methodologies
Non-invasive coronary CT angiography-derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different...
Текст визуальный непосредственный
International Journal for Numerical Methods in Biomedical Engineering
Vol.35, Issue10 Num.e3235
2019
Статья
benchmark fractional flow reserve haemodynamic models
Angiography Benchmarking Computerized tomography Data reduction Drops Estimation Heart Pressure drop Computational methodology Computational workflows Computed tomography angiography Coronary ct angiographies Fractional flow reserves Mean absolute differences Outlet boundary condition Sensitivity and specificity 3D modeling aged algorithm computed tomographic angiography coronary angiography coronary blood vessel diagnostic imaging female fractional flow reserve heart hemodynamics human male middle aged pathology pathophysiology physiology procedures very elderly x-ray computed tomography Aged Aged, 80 and over Algorithms Computed Tomography Angiography Coronary Angiography Coronary Vessels Female Fractional Flow Reserve, Myocardial Heart Hemodynamics Humans Male Middle Aged Tomography, X-Ray Computed
Non-invasive coronary computed tomography (CT) angiography-derived fractional flow reserve (cFFR) is an emergent approach to determine the functional relevance of obstructive coronary lesions. Its feasibility and diagnostic performance has been reported in several studies. It is unclear if differences in sensitivity and specificity between these studies are due to study design, population, or "computational methodology." We evaluate the diagnostic performance of four different computational workflows for the prediction of cFFR using a limited data set of 10 patients, three based on reduced-order modelling and one based on a 3D rigid-wall model. The results for three of these methodologies yield similar accuracy of 6.5[%] to 10.5[%] mean absolute difference between computed and measured FFR. The main aspects of modelling which affected cFFR estimation were choice of inlet and outlet boundary conditions and estimation of flow distribution in the coronary network. One of the reduced-order mod