The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
2016 SCCT/STR guidelines for coronary artery calcium scoring of noncontrast noncardiac chest CT scans: A report of the Society of Cardiovascular Computed Tomography and Society of Thoracic Radiology
Abstract
The Society of Cardiovascular Computed Tomography (SCCT) and the Society of Thoracic Radiology (STR) have jointly produced this document. Experts in this subject have been selected from both organizations to examine subject-specific data and write this guideline in partnership. A formal literature review, weighing the strength of evidence has been performed. When available, information from studies on cost was considered. Computed tomography (CT) acquisition, CAC scoring methodologies and clinical outcomes are the primary basis for the recommendations in this guideline. This guideline is intended to assist healthcare providers in clinical decision making. The recommendations reflect a consensus after a thorough review of the best available current scientific evidence and practice patterns of experts in the field and are intended to improve patient care while acknowledging that situations arise where additional information may be needed to better inform patient care.
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“While the calcium score has been traditionally measured on specialized electrocardiography (ECG)-gated cardiac CT, it can also be measured on nearly every standard CT scan of the chest performed without contrast8.”
From Deep convolutional neural networks to predict cardiovascular risk from computed tomography (2021) · cites this paper as [8]
In the citing paper
“Despite these recommendations, a dedicated coronary calcium scoring CT is not yet covered by Medicare and most US insurance companies, and for this reason, there is a great deal of interest in deriving the calcium score from routine chest CTs, which are far more common8,28,29.”
From Deep convolutional neural networks to predict cardiovascular risk from computed tomography (2021) · cites this paper as [8]
In the citing paper
“Despite these recommendations, a dedicated coronary calcium scoring CT is not yet covered by Medicare and most US insurance companies, and for this reason, there is a great deal of interest in deriving the calcium score from routine chest CTs, which are far more common8,28,29.”
From Deep convolutional neural networks to predict cardiovascular risk from computed tomography (2021) · cites this paper as [8]
In the citing paper
“Coronary calcium scoring has been recommended by the guidelines for risk stratification, specifically in the setting of primary prevention in asymptomatic individuals7,8.”
From Deep convolutional neural networks to predict cardiovascular risk from computed tomography (2021) · cites this paper as [8]
Citations
Cites
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
The National Lung Screening Trial Research Team (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1102873 · Cited by 11,064
2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk
Goff, D. C., Lloyd-Jones, D. M., Bennett, G., Coady, S., D’Agostino, R. B., Gibbons, R., Greenland, P., Lackland, D. T., Levy, D., O’Donnell, C. J., et al. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.11.005 · Cited by 4,945
Stone, N. J., Robinson, J. G., Lichtenstein, A. H., Bairey Merz, C. N., Blum, C. B., Eckel, R. H., Goldberg, A. C., Gordon, D., Levy, D., Lloyd-Jones, D. M., et al. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.11.002 · Cited by 3,845
Coronary Calcium as a Predictor of Coronary Events in Four Racial or Ethnic Groups
Detrano, R., Guerci, A. D., Carr, J. J., Bild, D. E., Burke, G., Folsom, A. R., Liu, K., Shea, S., Szklo, M., Bluemke, D. A., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa072100 · Cited by 2,989
Screening for Lung Cancer: U.S. Preventive Services Task Force Recommendation Statement
Moyer, V. A., & on behalf of the U.S. Preventive Services Task Force* (2013) · Annals of Internal Medicine · doi:10.7326/m13-2771 · Cited by 2,642
Survival of Patients with Stage I Lung Cancer Detected on CT Screening
The International Early Lung Cancer Action Program Investigators (2006) · New England Journal of Medicine · doi:10.1056/nejmoa060476 · Cited by 1,719
Grundy, S. M., Cleeman, J. I., Bairey Merz, C. N., Brewer, H. B., Clark, L. T., Hunninghake, D. B., Pasternak, R. C., Smith, S. C., & Stone, N. J. (2004) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2004.07.001 · Cited by 1,550
2016 European Guidelines on cardiovascular disease prevention in clinical practice
Authors/Task Force Members, Piepoli, M. F., Hoes, A. W., Agewall, S., Albus, C., Brotons, C., Catapano, A. L., Cooney, M. T., Corrà, U., Cosyns, B., et al. (2016) · European Journal of Preventive Cardiology · doi:10.1177/2047487316653709 · Cited by 1,435
2010 ACCF/AHA Guideline for Assessment of Cardiovascular Risk in Asymptomatic Adults
Greenland, P., Alpert, J. S., Beller, G. A., Benjamin, E. J., Budoff, M. J., Fayad, Z. A., Foster, E., Hlatky, M. A., Hodgson, J. M., Kushner, F. G., et al. (2010) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.09.001 · Cited by 1,348
Self-citationCoronary Artery Calcium Score and Risk Classification for Coronary Heart Disease Prediction
Polonsky, T. S. (2010) · JAMA · doi:10.1001/jama.2010.461 · Cited by 1,123
Research works printed but not linked: 3
- Elias-Smale, 2010, Coronary calcium score improves classification of coronary heart disease risk in the elderly: the Rotterdam study, J Am Coll Cardiol, 56, 1407, 10.1016/j.jacc.2010.06.029 · DOI
- De Koning, 2015, Design and recruitment of the ROBINSCA trial: screening for cardiovascular disease. Ongoing randomized trial on the effect of coronary calcium on clinical outcomes, Euro Heart J, 36, S985
- McClelland, 2015, 10-Year coronary heart disease risk prediction using coronary artery calcium and traditional risk factors: derivation in the MESA (Multi-Ethnic study of atherosclerosis) with validation in the HNR (Heinz nixdorf Recall) study and the DHS (Dallas heart study), JAm Coll Cardiol, 66, 1643, 10.1016/j.jacc.2015.08.035 · DOI
Cited by
Sorted by citations
Adams, S. J., Stone, E., Baldwin, D. R., Vliegenthart, R., Lee, P., & Fintelmann, F. J. (2023) · The Lancet · doi:10.1016/s0140-6736(22)01694-4 · Cited by 467
Čelutkienė, J., Pudil, R., López‐Fernández, T., Grapsa, J., Nihoyannopoulos, P., Bergler-Klein, J. K., Solal, A. C., Farmakis, D. T., Tocchetti, C. G., von Haehling, S., et al. (2020) · European Journal of Heart Failure · doi:10.1002/ejhf.1957 · Cited by 385
Deep convolutional neural networks to predict cardiovascular risk from computed tomography
Zeleznik, R., Foldyna, B., Eslami, P., Weiss, J., Alexander, I., Taron, J., Parmar, C., Alvi, R. M., Banerji, D., Uno, M., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-20966-2 · Cited by 240
Munden, R. F., Carter, B. W., Chiles, C., MacMahon, H., Black, W. C., Ko, J. P., McAdams, H. P., Rossi, S. E., Leung, A. N. C., Boiselle, P. M., et al. (2018) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2018.04.029 · Cited by 222
Self-citationEANM procedural guidelines for PET/CT quantitative myocardial perfusion imaging
Sciagrà, R., Lubberink, M., Hyafil, F., Saraste, A., Slart, R. H. J. A., Agostini, D., Nappi, C., Georgoulias, P., Bucerius, J. A., Rischpler, C., et al. (2020) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-020-05046-9 · Cited by 166
Metadata
- Authors
- Hecht, H. S., Cronin, P., Blaha, M. J., Budoff, M. J., Kazerooni, E. A., Narula, J., Yankelevitz, D., & Abbara, S.
- Affiliations
- Lenox Hill Heart & Vascular Institute, New York, NY, United States
- Michigan Medicine (US)
- Johns Hopkins Medicine (US)
- Harbor–UCLA Medical Center (US)
- Icahn School of Medicine at Mount Sinai (US)
- Mount Sinai Hospital (US)
- The University of Texas Southwestern Medical Center (US)
- Corresponding author
- Abbara, Suhny
- ORCID
- Venue
- Journal of Thoracic Imaging
- Published
- 2017-09
- Volume
- 32
- Issue
- 5
- Pages
- W54-W66
- ISSN
- 0883-5993 (ISSN-L)
- OpenAlex
- W3012792572
- Cited by
- 127
- References
- 58
- Citations by year
- 2026: 10 · 2025: 12 · 2024: 12 · 2023: 14 · 2022: 8 · 2021: 23 · 2020: 12 · 2019: 17 · 2018: 15 · 2017: 4
- FWCI
- 10.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Thoracic Imaging (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Diagnosis and Treatment
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiation Dose and Imaging
- Keywords
- coronary artery calcium scoring, CT acquisition parameters, clinical outcomes, cardiovascular risk stratification, clinical decision-making
- MeSH terms
- Coronary Artery Disease, Coronary Vessels, Humans, Societies, Medical, Tomography, X-Ray Computed, Vascular Calcification
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