ArticleInternational journal of cardiology. Heart & vasculature2020
Automated calcium scores collected during myocardial perfusion imaging improve identification of obstructive coronary artery disease.
Article in International journal of cardiology. Heart & vasculature, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Prognostication and clinical opportunities with AI for coronary artery calcium: a scoping review.BMJ digital health & AI · 2026Article
- Combined evaluation of CAC score and myocardial perfusion imaging in patients at risk of cardiovascular disease: where are we and what do the data say.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023Review
- The addition of coronary artery calcium to myocardial perfusion: Double or nothing?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023Article
- Myocardial perfusion imaging and CAC score: Not only a brick in the wall.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022Article
- Next Generation Risk Markers in Preventive Cardio-oncology.Current atherosclerosis reports · 2022Review
- Automation in Nuclear Cardiology: Time for Flurpiridaz to Join the Club.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022Article
- Review
- High levels of osteoprotegerin are associated with coronary artery calcification in patients suspected of a chronic coronary syndrome.Scientific reports · 2021Article
- Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac CT.European journal of nuclear medicine and molecular imaging · 2021Article
- Machine Learning and the Future of Cardiovascular Care: JACC State-of-the-Art Review.Journal of the American College of Cardiology · 2021Review
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12 authors.
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Abstract
backgroundMyocardial perfusion imaging (MPI) is an accurate noninvasive test for patients with suspected obstructive coronary artery disease (CAD) and coronary artery calcium (CAC) score is known to be a powerful predictor of cardiovascular events. Collection of CAC scores simultaneously with MPI is unexplored.
aimWe aimed to investigate whether automatically derived CAC scores during myocardial perfusion imaging would further improve the diagnostic accuracy of MPI to detect obstructive CAD.
methodsWe analyzed 150 consecutive patients without a history of coronary revascularization with suspected obstructive CAD who were referred for 82Rb PET/CT and available coronary angiographic data. Myocardial perfusion was evaluated both semi quantitatively as well as quantitatively according to the European guidelines. CAC scores were automatically derived from the low-dose attenuation correction CT scans using previously developed software based on deep learning. Obstructive CAD was defined as stenosis >70% (or >50% in the left main coronary artery) and/or fractional flow reserve (FFR) ≤0.80.
resultsIn total 58% of patients had obstructive CAD of which seventy-four percent were male. Addition of CAC scores to MPI and clinical predictors significantly improved the diagnostic accuracy of MPI to detect obstructive CAD. The area under the curve (AUC) increased from 0.87 to 0.91 (p: 0.025). Sensitivity and specificity analysis showed an incremental decrease in false negative tests with our MPI + CAC approach (n = 14 to n = 4), as a consequence an increase in false positive tests was seen (n = 11 to n = 28).
conclusionCAC scores collected simultaneously with MPI improve the detection of obstructive coronary artery disease in patients without a history of coronary revascularization.
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