The performance of non-invasive tests to rule-in and rule-out significant coronary artery stenosis in patients with stable angina: a meta-analysis focused on post-test disease probability

• Published in: European heart journal Vol. 39; no. 35; pp. 3322 - 3330
• Main Authors: Knuuti, Juhani, Ballo, Haitham, Juarez-Orozco, Luis Eduardo, Saraste, Antti, Kolh, Philippe, Rutjes, Anne Wilhelmina Saskia, Jüni, Peter, Windecker, Stephan, Bax, Jeroen J, Wijns, William
• Format: Journal Article Web Resource
• Language: English
• Published: England Oxford University Press 14.09.2018
• Subjects: Angina, Stable - diagnostic imaging; Angina, Stable - etiology; Cardiovascular & respiratory systems; Computed Tomography Angiography; Coronary Angiography; Coronary Stenosis - diagnostic imaging; Echocardiography, Stress; Electrocardiography; Human health sciences; Humans; Magnetic Resonance Angiography; Positron-Emission Tomography; Probability; Sciences de la santé humaine; Single Photon Emission Computed Tomography Computed Tomography; Systèmes cardiovasculaire & respiratoire; Likelihood ratio; Stable coronary artery disease; Non-invasive imaging; Post-test likelihood; Pre-test likelihood
• ISSN: 0195-668X; 1522-9645; 1522-9645
• DOI: 10.1093/eurheartj/ehy267

Abstract Aims To determine the ranges of pre-test probability (PTP) of coronary artery disease (CAD) in which stress electrocardiogram (ECG), stress echocardiography, coronary computed tomography angiography (CCTA), single-photon emission computed tomography (SPECT), positron emission tomography (PET), and cardiac magnetic resonance (CMR) can reclassify patients into a post-test probability that defines (>85%) or excludes (<15%) anatomically (defined by visual evaluation of invasive coronary angiography [ICA]) and functionally (defined by a fractional flow reserve [FFR] ≤0.8) significant CAD. Methods and results A broad search in electronic databases until August 2017 was performed. Studies on the aforementioned techniques in >100 patients with stable CAD that utilized either ICA or ICA with FFR measurement as reference, were included. Study-level data was pooled using a hierarchical bivariate random-effects model and likelihood ratios were obtained for each technique. The PTP ranges for each technique to rule-in or rule-out significant CAD were defined. A total of 28 664 patients from 132 studies that used ICA as reference and 4131 from 23 studies using FFR, were analysed. Stress ECG can rule-in and rule-out anatomically significant CAD only when PTP is ≥80% (76–83) and ≤19% (15–25), respectively. Coronary computed tomography angiography is able to rule-in anatomic CAD at a PTP ≥58% (45–70) and rule-out at a PTP ≤80% (65–94). The corresponding PTP values for functionally significant CAD were ≥75% (67–83) and ≤57% (40–72) for CCTA, and ≥71% (59–81) and ≤27 (24–31) for ICA, demonstrating poorer performance of anatomic imaging against FFR. In contrast, functional imaging techniques (PET, stress CMR, and SPECT) are able to rule-in functionally significant CAD when PTP is ≥46–59% and rule-out when PTP is ≤34–57%. Conclusion The various diagnostic modalities have different optimal performance ranges for the detection of anatomically and functionally significant CAD. Stress ECG appears to have very limited diagnostic power. The selection of a diagnostic technique for any given patient to rule-in or rule-out CAD should be based on the optimal PTP range for each test and on the assumed reference standard.