Added value of computed tomography fractional flow reserve in the diagnosis of coronary artery disease

Added value of computed tomography fractional flow reserve in the diagnosis of coronary artery disease

Abstract Multiple non-invasive tests are performed to diagnose coronary artery disease (CAD), but all are limited to either anatomical or functional assessments. Computed tomography derived Fractional Flow Reserve (CT-FFR) based on patient-specific lumped parameter models is a new test combining bot...

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Autores principales: J. Peper, J. Schaap, J. C. Kelder, B. J. W. M. Rensing, D. E. Grobbee, T. Leiner, M. J. Swaans
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/ec4fbbf6221f4e2ebef9b85b03cc0b5a
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spelling oai:doaj.org-article:ec4fbbf6221f4e2ebef9b85b03cc0b5a2021-12-02T14:02:54ZAdded value of computed tomography fractional flow reserve in the diagnosis of coronary artery disease10.1038/s41598-021-86245-82045-2322https://doaj.org/article/ec4fbbf6221f4e2ebef9b85b03cc0b5a2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86245-8https://doaj.org/toc/2045-2322Abstract Multiple non-invasive tests are performed to diagnose coronary artery disease (CAD), but all are limited to either anatomical or functional assessments. Computed tomography derived Fractional Flow Reserve (CT-FFR) based on patient-specific lumped parameter models is a new test combining both characteristics simulating invasive FFR. This study aims to evaluate the added value of CT-FFR over other non-invasive tests to diagnose CAD. Patients with clinical suspicion of angina pectoris between 2010 and 2011 were included in this cross-sectional study. All underwent stress electrocardiography (X-ECG), SPECT, CT coronary angiography (CCTA) and CT-FFR. Invasive coronary angiography (ICA) and FFR were used as reference standard. Five models mimicking the clinical workflow were fitted and the area under receiver operating characteristic (AUROC) curve was used for comparison. 44% of the patients included in the analysis had a FFR of ≤ 0.80. The basic model including pre-test-likelihood and X-ECG had an AUROC of 0.79. The SPECT-strategy had an AUROC of 0.90 (p = 0.008), CCTA-strategy of 0.88 (p < 0.001), 0.93 when adding CT-FFR (p = 0.40) compared to 0.94 when combining CCTA and SPECT. This study shows adding on-site CT-FFR based on patient-specific lumped parameter models leads to an increased AUROC compared to the basic model. It improves the diagnostic work-up beyond SPECT or CCTA and is non-inferior to the combined strategy of SPECT and CCTA in the diagnosis of hemodynamically relevant CAD.J. PeperJ. SchaapJ. C. KelderB. J. W. M. RensingD. E. GrobbeeT. LeinerM. J. SwaansNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
J. Peper
J. Schaap
J. C. Kelder
B. J. W. M. Rensing
D. E. Grobbee
T. Leiner
M. J. Swaans
Added value of computed tomography fractional flow reserve in the diagnosis of coronary artery disease
description Abstract Multiple non-invasive tests are performed to diagnose coronary artery disease (CAD), but all are limited to either anatomical or functional assessments. Computed tomography derived Fractional Flow Reserve (CT-FFR) based on patient-specific lumped parameter models is a new test combining both characteristics simulating invasive FFR. This study aims to evaluate the added value of CT-FFR over other non-invasive tests to diagnose CAD. Patients with clinical suspicion of angina pectoris between 2010 and 2011 were included in this cross-sectional study. All underwent stress electrocardiography (X-ECG), SPECT, CT coronary angiography (CCTA) and CT-FFR. Invasive coronary angiography (ICA) and FFR were used as reference standard. Five models mimicking the clinical workflow were fitted and the area under receiver operating characteristic (AUROC) curve was used for comparison. 44% of the patients included in the analysis had a FFR of ≤ 0.80. The basic model including pre-test-likelihood and X-ECG had an AUROC of 0.79. The SPECT-strategy had an AUROC of 0.90 (p = 0.008), CCTA-strategy of 0.88 (p < 0.001), 0.93 when adding CT-FFR (p = 0.40) compared to 0.94 when combining CCTA and SPECT. This study shows adding on-site CT-FFR based on patient-specific lumped parameter models leads to an increased AUROC compared to the basic model. It improves the diagnostic work-up beyond SPECT or CCTA and is non-inferior to the combined strategy of SPECT and CCTA in the diagnosis of hemodynamically relevant CAD.
format article
author J. Peper
J. Schaap
J. C. Kelder
B. J. W. M. Rensing
D. E. Grobbee
T. Leiner
M. J. Swaans
author_facet J. Peper
J. Schaap
J. C. Kelder
B. J. W. M. Rensing
D. E. Grobbee
T. Leiner
M. J. Swaans
author_sort J. Peper
title Added value of computed tomography fractional flow reserve in the diagnosis of coronary artery disease
title_short Added value of computed tomography fractional flow reserve in the diagnosis of coronary artery disease
title_full Added value of computed tomography fractional flow reserve in the diagnosis of coronary artery disease
title_fullStr Added value of computed tomography fractional flow reserve in the diagnosis of coronary artery disease
title_full_unstemmed Added value of computed tomography fractional flow reserve in the diagnosis of coronary artery disease
title_sort added value of computed tomography fractional flow reserve in the diagnosis of coronary artery disease
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/ec4fbbf6221f4e2ebef9b85b03cc0b5a
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