Diagnostic Value of Coronary CT Angiography with Prospective ECG-gating in the Diagnosis of Coronary Artery Disease: a Systematic Review and Meta-analysis
Overview
Authors
Affiliations
To perform a systematic review and meta-analysis of the diagnostic value of prospective ECG-gating coronary CT angiography in the diagnosis of coronary artery disease. A search of biomedical databases for English literature was performed to identify studies investigating the diagnostic value of 64- or more slice CT angiography with use of prospective ECG-gating in the diagnosis of coronary artery disease. Sensitivity, specificity, positive and negative predictive value estimates pooled across studies were tested using a fixed effects model. Fourteen studies met selection criteria for inclusion in the analysis. Pooled estimates and 95% confidence interval (CI) of sensitivity, specificity, positive and negative predictive value of prospective ECG-gating coronary CT angiography for diagnosis of significant coronary stenosis were 99% (95% CI: 98, 100%), 91% (95% CI: 88, 94%), 94% (95% CI: 91, 96%) and 99% (95% CI: 97, 100%), according to the patient-based assessment. The mean values of sensitivity, specificity, positive and negative predictive value of prospective ECG-gating coronary CT angiography were 95% (95% CI: 93, 96%), 95% (95% CI: 93, 95%), 88% (95% CI: 86, 90%), and 98% (95% CI: 97, 98%), according to vessel-based assessment; 92% (95% CI: 90, 93%), 97% (95% CI: 97, 98%), 84% (95% CI: 82, 86%), 99% (95% CI: 99, 99%), according to segment-based assessment, respectively. The mean effective dose was 3.3 mSv (95% CI: 2.3, 4.1 mSv) for the prospective ECG-gating coronary CT angiography. This analysis shows that for a predominantly male population with a high disease prevalence the use of coronary CT angiography with prospective ECG gating allows for a reduced radiation exposure without a sacrifice in diagnostic efficacy.
Ogawa R, Yanagawa M, Hata A, Yamagata K, Ninomiya K, Doi S Int J Cardiovasc Imaging. 2024; 40(10):2117-2124.
PMID: 39128972 DOI: 10.1007/s10554-024-03203-x.
Sun Z J Geriatr Cardiol. 2024; 21(5):550-576.
PMID: 38948894 PMC: 11211902. DOI: 10.26599/1671-5411.2024.05.002.
Leclercq T, Falcon-Eicher S, Farnier M, Le Bret E, Maudinas R, Litzler-Renault S Eur Heart J Case Rep. 2020; 4(1):1-5.
PMID: 33123673 PMC: 7574956. DOI: 10.1093/ehjcr/ytz233.
Coronary risk stratification of patients with newly diagnosed heart failure.
Hasselbalch R, Pries-Heje M, Engstrom T, Sando A, Heitmann M, Pedersen F Open Heart. 2019; 6(2):e001074.
PMID: 31673386 PMC: 6802977. DOI: 10.1136/openhrt-2019-001074.
Personalized 3D printed coronary models in coronary stenting.
Sun Z, Jansen S Quant Imaging Med Surg. 2019; 9(8):1356-1367.
PMID: 31559165 PMC: 6732059. DOI: 10.21037/qims.2019.06.21.