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Added value of computed tomography fractional flow reserve in the diagnosis of coronary artery disease.
Peper, J; Schaap, J; Kelder, J C; Rensing, B J W M; Grobbee, D E; Leiner, T; Swaans, M J.
Affiliation
  • Peper J; Department of Cardiology, St. Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands. j.peper@antoniusziekenhuis.nl.
  • Schaap J; Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands. j.peper@antoniusziekenhuis.nl.
  • Kelder JC; Department of Cardiology, Amphia Hospital, Molengracht 21, 4818 CK, Breda, The Netherlands.
  • Rensing BJWM; Department of Cardiology, St. Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands.
  • Grobbee DE; Department of Cardiology, St. Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands.
  • Leiner T; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
  • Swaans MJ; Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
Sci Rep ; 11(1): 6748, 2021 03 24.
Article in En | MEDLINE | ID: mdl-33762686
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Coronary Artery Disease / Fractional Flow Reserve, Myocardial / Computed Tomography Angiography / Hemodynamics Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies Aspects: Patient_preference Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Sci Rep Year: 2021 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Coronary Artery Disease / Fractional Flow Reserve, Myocardial / Computed Tomography Angiography / Hemodynamics Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies Aspects: Patient_preference Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Sci Rep Year: 2021 Document type: Article Affiliation country: Country of publication: