The diagnostic performance of on-site workstation-based computed tomography-derived fractional flow reserve. Comparison with myocardium perfusion imaging
| Autor: | Nobuhiko Koga, Kyoko Umeji, Tomohiro Kawasaki, Taichi Okonogi, Ryota Fukuoka |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computed Tomography Angiography
medicine.medical_treatment Perfusion scanning Fractional flow reserve Coronary Artery Disease Coronary Angiography Coronary artery disease Myocardial perfusion imaging Predictive Value of Tests Medicine Humans Retrospective Studies medicine.diagnostic_test Receiver operating characteristic business.industry Myocardium Coronary Stenosis Myocardial Perfusion Imaging Percutaneous coronary intervention medicine.disease Fractional Flow Reserve Myocardial Angiography Calcium Cardiology and Cardiovascular Medicine business Agatston score Nuclear medicine Tomography X-Ray Computed |
| Zdroj: | Heart and vessels. 37(1) |
| ISSN: | 1615-2573 |
| Popis: | To compare the diagnostic performance of on-site workstation-based computed tomography-derived fractional flow reserve (CT-FFR)Few data of CT-FFR were reported regarding the diagnostic performance for detecting hemodynamically significant coronary artery disease (CAD). This retrospective single-center analysis included 132 vessels in 77 patients who underwent CT angiography, myocardial perfusion imaging (MPI), and invasive FFR. The correlation coefficient between CT-FFR and invasive FFR and optimal cut-off value for CT-FFR to identify invasive FFR ≤ 0.8 were evaluated. The diagnostic accuracies of CT- FFR, and MPI were evaluated using an area under the receiver-operating characteristic curve (AUC) with invasive FFR as a reference standard. Diagnostic performance of CT-FFR was also evaluated concerning lesion characteristics, including intermediate lesions, left main lesions, tandem lesions, and/or diffuse lesions, and coronary calcium (Agatston score over 400). The Receiver Operating Characteristic curve analysis showed that the optimal cut-off value of CT-FFR for detecting invasive FFR ≤ 0.80 was 0.80 [AUC = 0.83, 95%CI: 0.76–0.90). Diagnostic sensitivity, specificity, positive and negative predictive value, and accuracy of CT-FFR when compared with those of MPI regarding per-patient analysis were 93% vs. 63%, 48% vs. 61%, 81% vs. 79%, 73% vs. 41%, and 79% vs. 62%, respectively, and for per-vessel analysis were 89% vs. 24%, 66% vs. 82%, 75% vs. 61%, 83% vs. 48%, and 78% vs. 51%, respectively. The AUC of the CT-FFR was significantly higher than MPI (0.83 vs. 0.57, p |
| Databáze: | OpenAIRE |
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