Computed tomography angiography versus Agatston score for diagnosis of coronary artery disease in patients with stable chest pain: individual patient data meta-analysis of the international COME-CCT Consortium
Viktoria Wieske, Mario Walther, Benjamin Dubourg, Hatem Alkadhi, Bjarne L Nørgaard, Matthijs F L Meijs, Axel C P Diederichsen, Yung-Liang Wan, Hans Mickley, Konstantin Nikolaou, Abbas A Shabestari, Bjørn A Halvorsen, Eugenio Martuscelli, Kai Sun, Bernhard A Herzog, Roy P Marcus, Sebastian Leschka, Mario J Garcia, Kristian A Ovrehus, Juhani Knuuti, Vladymir Mendoza-Rodriguez, Nuno Bettencourt, Simone Muraglia, Ronny R Buechel, Philipp A Kaufmann, Elke Zimmermann, Jean-Claude Tardif, Matthew J Budoff, Peter Schlattmann, Marc Dewey & COME-CCT Consortium
abstract |
OBJECTIVES PURPOSE METHODS RESULTS CONCLUSIONS • CTA showed significantly higher diagnostic accuracy (81.1%, 95% confidence interval [CI]: 77.5 to 84.1%) for diagnosis of coronary artery disease when compared to the Agatston score (68.8%, 95% CI: 64.2 to 73.1%, p < 0.001). • Diagnostic performance of CTA was not affected by increased amount of calcium and was not significantly different in patients with low to intermediate (1 to <100, 100-400) versus moderate to high Agatston scores (401-1000, > 1000). • Seventeen percent of patients with an Agatston score of zero showed obstructive coronary artery disease by invasive angiography showing absence of coronary artery calcium cannot reliably exclude coronary artery disease. |
citation | Wieske V, Walther M, Dubourg B, Alkadhi H, Nørgaard B L, Meijs M F L, Diederichsen A C P, Wan Y L, Mickley H, Nikolaou K, Shabestari A A, Halvorsen B A, Martuscelli E, Sun K, Herzog B A, Marcus R P, Leschka S, Garcia M J, Ovrehus K A, Knuuti J, Mendoza-Rodriguez V, Bettencourt N, Muraglia S, Buechel R R, Kaufmann P A, Zimmermann E, Tardif J C, Budoff M J, Schlattmann P, Dewey M, COME-CCT Consortium . Computed tomography angiography versus Agatston score for diagnosis of coronary artery disease in patients with stable chest pain: individual patient data meta-analysis of the international COME-CCT Consortium. Eur Radiol 2022;. |
type | journal paper/review (English) |
date of publishing | 10-03-2022 |
journal title | Eur Radiol |
ISSN electronic | 1432-1084 |
PubMed | 35267094 |
DOI | 10.1007/s00330-022-08619-4 |