Long-term prognostic performance of low-dose coronary computed tomography angiography with prospective electrocardiogram triggering View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-11

AUTHORS

Olivier F. Clerc, Basil P. Kaufmann, Mathias Possner, Riccardo Liga, Jan Vontobel, Fran Mikulicic, Christoph Gräni, Dominik C. Benz, Tobias A. Fuchs, Julia Stehli, Aju P. Pazhenkottil, Oliver Gaemperli, Philipp A. Kaufmann, Ronny R. Buechel

ABSTRACT

OBJECTIVES: To assess long-term prognosis after low-dose 64-slice coronary computed tomography angiography (CCTA) using prospective electrocardiogram-triggering. METHODS: We included 434 consecutive patients with suspected or known coronary artery disease referred for low-dose CCTA. Patients were classified as normal, with non-obstructive or obstructive lesions, or previously revascularized. Coronary artery calcium score (CACS) was assessed in 223 patients. Follow-up was obtained regarding major adverse cardiac events (MACE): cardiac death, myocardial infarction and elective revascularization. We performed Kaplan-Meier analysis and Cox regressions. RESULTS: Mean effective radiation dose was 1.7 ± 0.6 mSv. At baseline, 38% of patients had normal arteries, 21% non-obstructive lesions, 32% obstructive stenosis and 8% were revascularized. Twenty-nine patients (7%) were lost to follow-up. After a median follow-up of 6.1 ± 0.6 years, MACE occurred in 0% of patients with normal arteries, 6% with non-obstructive lesions, 30% with obstructive stenosis and 39% of those revascularized. MACE occurrence increased with increasing CACS (P < 0.001), but 4% of patients with CACS = 0 experienced MACE. Multivariate Cox regression identified obstructive stenosis, lesion burden in CCTA and CACS as independent MACE predictors (P ≤ 0.001). CONCLUSION: Low-dose CCTA with prospective electrocardiogram-triggering has an excellent long-term prognostic performance with a warranty period >6 years for patients with normal coronary arteries. KEY POINTS: • Coronary CT angiography (CCTA) has an excellent long-term prognostic performance. • CCTA can accurately stratify cardiac risk according to coronary lesion severity. • A normal CCTA predicts freedom from cardiac events for >6 years. • Patients with a coronary calcium score of 0 may experience cardiac events. • CCTA allows for reclassification of cardiac risk compared with ESC SCORE. More... »

PAGES

4650-4660

References to SciGraph publications

  • 2014-06. Prognostic value of coronary CT angiography on long-term follow-up of 6.9 years in THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
  • 2016-11. Quantitative coronary CT angiography: absolute lumen sizing rather than %stenosis predicts hemodynamically relevant stenosis in EUROPEAN RADIOLOGY
  • 2007-01. Use of coronary calcium score scans from stand-alone multislice computed tomography for attenuation correction of myocardial perfusion SPECT in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2011-03. Prognostic value of absence or presence of coronary artery disease determined by 64-slice computed tomography coronary angiography A systematic review and meta-analysis in THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
  • 2016-03. Prognostic value of coronary CT angiography in diabetic patients: a 5-year follow up study in THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
  • 2016-03. Image quality, radiation dose, and diagnostic accuracy of prospectively ECG-triggered high-pitch coronary CT angiography at 70 kVp in a clinical setting: comparison with invasive coronary angiography in EUROPEAN RADIOLOGY
  • 2016-02. Optimizing radiation dose by using advanced modelled iterative reconstruction in high-pitch coronary CT angiography in EUROPEAN RADIOLOGY
  • 2012-06. Gender-based prognostic value of pharmacological cardiac magnetic resonance stress testing: head-to-head comparison of adenosine perfusion and dobutamine wall motion imaging in THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00330-017-4849-1

    DOI

    http://dx.doi.org/10.1007/s00330-017-4849-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1085400487

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/28500370


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