{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T23:59:55Z","timestamp":1787875195791,"version":"build-2784847793"},"reference-count":30,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,2,1]],"date-time":"2020-02-01T00:00:00Z","timestamp":1580515200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2020,2,1]],"date-time":"2020-02-01T00:00:00Z","timestamp":1580515200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2019,10,18]],"date-time":"2019-10-18T00:00:00Z","timestamp":1571356800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002996","name":"Dutch Heart Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002996","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["IJC Heart &amp; Vasculature"],"published-print":{"date-parts":[[2020,2]]},"DOI":"10.1016\/j.ijcha.2019.100434","type":"journal-article","created":{"date-parts":[[2019,11,19]],"date-time":"2019-11-19T12:39:28Z","timestamp":1574167168000},"page":"100434","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":7,"special_numbering":"C","title":["Automated calcium scores collected during myocardial perfusion imaging improve identification of obstructive coronary artery disease"],"prefix":"10.1016","volume":"26","author":[{"given":"Mirthe","family":"Dekker","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Farahnaz","family":"Waissi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ingrid E.M.","family":"Bank","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nikolas","family":"Lessmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ivana","family":"I\u0161gum","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Birgitta K.","family":"Velthuis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Asbj\u00f8rn M.","family":"Scholtens","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Geert E.","family":"Leenders","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gerard","family":"Pasterkamp","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dominique P.V.","family":"de Kleijn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leo","family":"Timmers","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arend","family":"Mosterd","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ijcha.2019.100434_b0005","unstructured":"National Institutes of Health NH, Lung and B.I., Morbidity & Mortality: 2012 Chart Book on Cardiovascular, Lung, and Blood Diseases, S. Bethesda, MD Natl. Hear. Lung, Blood Institute, 2012."},{"key":"10.1016\/j.ijcha.2019.100434_b0010","doi-asserted-by":"crossref","first-page":"1341","DOI":"10.1093\/eurheartj\/ehl001","volume":"27","author":"Fox","year":"2006","journal-title":"Eur. Heart J."},{"key":"10.1016\/j.ijcha.2019.100434_b0015","doi-asserted-by":"crossref","first-page":"1052","DOI":"10.1016\/j.jacc.2006.12.015","article-title":"Diagnostic accuracy of rubidium-82 myocardial perfusion imaging with hybrid positron emission tomography\/computed tomography in the detection of coronary artery disease","volume":"49","author":"Sampson","year":"2007","journal-title":"J. Am. Coll. Cardiol."},{"key":"10.1016\/j.ijcha.2019.100434_b0020","doi-asserted-by":"crossref","first-page":"990","DOI":"10.1016\/j.jcmg.2011.06.015","article-title":"Physiological basis for angina and ST-segment change PET-verified thresholds of quantitative stress myocardial perfusion and coronary flow reserve","volume":"4","author":"Johnson","year":"2011","journal-title":"J. Am. Coll. Cardiol. Img."},{"key":"10.1016\/j.ijcha.2019.100434_b0025","doi-asserted-by":"crossref","first-page":"1336","DOI":"10.1056\/NEJMoa072100","article-title":"Coronary calcium as a predictor of coronary events in four racial or ethnic groups","volume":"358","author":"Detrano","year":"2008","journal-title":"N. Engl. J. Med."},{"key":"10.1016\/j.ijcha.2019.100434_b0030","doi-asserted-by":"crossref","first-page":"1610","DOI":"10.1001\/jama.2010.461","article-title":"Coronary artery calcium score and risk classification for coronary heart disease prediction","volume":"303","author":"Polonsky","year":"2010","journal-title":"JAMA"},{"key":"10.1016\/j.ijcha.2019.100434_b0035","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1001\/jama.2012.9624","article-title":"Comparison of novel risk markers for improvement in cardiovascular risk assessment in intermediate-risk individuals","volume":"308","author":"Yeboah","year":"2012","journal-title":"JAMA"},{"key":"10.1016\/j.ijcha.2019.100434_b0040","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1136\/heartjnl-2011-300747","article-title":"Improvements in risk stratification for the occurrence of cardiovascular disease by imaging subclinical atherosclerosis: a systematic review","volume":"98","author":"Peters","year":"2012","journal-title":"Heart"},{"key":"10.1016\/j.ijcha.2019.100434_b0045","doi-asserted-by":"crossref","first-page":"1643","DOI":"10.1016\/j.jacc.2015.08.035","article-title":"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 Stu","volume":"66","author":"McClelland","year":"2015","journal-title":"J. Am. Coll. Cardiol."},{"key":"10.1016\/j.ijcha.2019.100434_b0050","doi-asserted-by":"crossref","first-page":"1154","DOI":"10.1136\/hrt.2007.124800","article-title":"Combining dual-source computed tomography coronary angiography and calcium scoring: added value for the assessment of coronary artery disease","volume":"94","author":"Leschka","year":"2008","journal-title":"Heart"},{"key":"10.1016\/j.ijcha.2019.100434_b0055","doi-asserted-by":"crossref","first-page":"1424","DOI":"10.2967\/jnumed.107.040758","article-title":"Added value of coronary artery calcium score as an adjunct to gated SPECT for the evaluation of coronary artery disease in an intermediate-risk population","volume":"48","author":"Schepis","year":"2007","journal-title":"J. Nucl. Med."},{"key":"10.1016\/j.ijcha.2019.100434_b0060","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.2967\/jnumed.114.153429","article-title":"Combined Quantitative Assessment of Myocardial Perfusion and Coronary Artery Calcium Score by Hybrid 82Rb PET\/CT Improves Detection of Coronary Artery Disease","volume":"56","author":"Brodov","year":"2015","journal-title":"J. Nucl. Med."},{"key":"10.1016\/j.ijcha.2019.100434_b0065","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1007\/s00259-018-3935-1","article-title":"Combined evaluation of regional coronary artery calcium and myocardial perfusion by 82Rb PET\/CT in the identification of obstructive coronary artery disease","volume":"45","author":"Zampella","year":"2018","journal-title":"Eur. J. Nucl. Med. Mol. Imag."},{"key":"10.1016\/j.ijcha.2019.100434_b0070","doi-asserted-by":"crossref","first-page":"1914","DOI":"10.1016\/j.jacc.2010.05.057","article-title":"Agreement of visual estimation of coronary artery calcium from low-dose CT attenuation correction scans in hybrid PET\/CT and SPECT\/CT with standard Agatston score","volume":"56","author":"Einstein","year":"2010","journal-title":"J. Am. Coll. Cardiol."},{"key":"10.1016\/j.ijcha.2019.100434_b0075","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1093\/ehjci\/jes079","article-title":"Measuring coronary artery calcification using positron emission tomography-computed tomography attenuation correction images","volume":"13","author":"Mylonas","year":"2012","journal-title":"Eur. Heart J. Cardiovasc. Imag."},{"key":"10.1016\/j.ijcha.2019.100434_b0080","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1007\/s12350-014-0026-y","article-title":"Single low-dose CT scan optimized for rest-stress PET attenuation correction and quantification of coronary artery calcium","volume":"22","author":"Kaster","year":"2015","journal-title":"J. Nucl. Cardiol."},{"key":"10.1016\/j.ijcha.2019.100434_b0085","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1109\/TMI.2017.2769839","article-title":"Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks with Dilated Convolutions","volume":"37","author":"Lessmann","year":"2018","journal-title":"IEEE Trans. Med. Imag."},{"key":"10.1016\/j.ijcha.2019.100434_b0090","doi-asserted-by":"crossref","first-page":"2133","DOI":"10.1007\/s12350-017-0866-3","article-title":"Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET\/CT","volume":"25","author":"I\u0161gum","year":"2018","journal-title":"J. Nucl. Cardiol."},{"key":"10.1016\/j.ijcha.2019.100434_b0095","doi-asserted-by":"crossref","unstructured":"J. Bax, F. Bengel, E.B. Sokole, et al., Guidelines EANM\/ESC procedural guidelines for myocardial perfusion imaging in nuclear cardiology, 32 (2005) 855\u2013897.","DOI":"10.1007\/s00259-005-1779-y"},{"key":"10.1016\/j.ijcha.2019.100434_b0100","first-page":"539","volume":"18","author":"Cerqueira","year":"2002","journal-title":"Int. J. Cardiovasc. Imag."},{"key":"10.1016\/j.ijcha.2019.100434_b0105","doi-asserted-by":"crossref","first-page":"827","DOI":"10.1016\/0735-1097(90)90282-T","article-title":"Quantification of coronary artery calcium using ultrafast computed tomography","volume":"15","author":"Agatston","year":"1990","journal-title":"J. Am. Coll. Cardiol."},{"key":"10.1016\/j.ijcha.2019.100434_b0110","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1001\/jama.291.2.210","article-title":"Coronary artery calcium score combined with Framingham score for risk prediction in asymptomatic individuals","volume":"291","author":"Greenland","year":"2004","journal-title":"JAMA"},{"key":"10.1016\/j.ijcha.2019.100434_b0115","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.jacc.2009.02.069","article-title":"Long-term prognostic value of 13N-ammonia myocardial perfusion positron emission tomography added value of coronary flow reserve","volume":"54","author":"Herzog","year":"2009","journal-title":"J. Am. Coll. Cardiol."},{"key":"10.1016\/j.ijcha.2019.100434_b0120","doi-asserted-by":"crossref","first-page":"1858","DOI":"10.1161\/CIRCULATIONAHA.112.120402","article-title":"Association between coronary vascular dysfunction and cardiac mortality in patients with and without diabetes mellitus","volume":"126","author":"Murthy","year":"2012","journal-title":"Circulation"},{"key":"10.1016\/j.ijcha.2019.100434_b0125","doi-asserted-by":"crossref","first-page":"2215","DOI":"10.1161\/CIRCULATIONAHA.111.050427","article-title":"Improved cardiac risk assessment with noninvasive measures of coronary flow reserve","volume":"124","author":"Murthy","year":"2011","journal-title":"Circulation"},{"key":"10.1016\/j.ijcha.2019.100434_b0130","doi-asserted-by":"crossref","first-page":"740","DOI":"10.1016\/j.jacc.2011.01.065","article-title":"Impaired myocardial flow reserve on rubidium-82 positron emission tomography imaging predicts adverse outcomes in patients assessed for myocardial ischemia","volume":"58","author":"Ziadi","year":"2011","journal-title":"J. Am. Coll. Cardiol."},{"key":"10.1016\/j.ijcha.2019.100434_b0135","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1161\/CIRCULATIONAHA.116.023266","article-title":"Excess cardiovascular risk in women relative to men referred for coronary angiography is associated with severely impaired coronary flow reserve, not obstructive disease","volume":"135","author":"Taqueti","year":"2017","journal-title":"Circulation"},{"key":"10.1016\/j.ijcha.2019.100434_b0140","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1007\/s12350-009-9159-9","article-title":"Diagnostic and clinical benefit of combined coronary calcium and perfusion assessment in patients undergoing PET\/CT myocardial perfusion stress imaging","volume":"17","author":"Bybee","year":"2010","journal-title":"J. Nucl. Cardiol."},{"key":"10.1016\/j.ijcha.2019.100434_b0145","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1016\/j.nuclcard.2005.04.006","article-title":"Clinical utility of coronary calcium scoring after nonischemic myocardial perfusion imaging","volume":"12","author":"Thompson","year":"2005","journal-title":"J. Nucl. Cardiol."},{"key":"10.1016\/j.ijcha.2019.100434_b0150","doi-asserted-by":"crossref","first-page":"874","DOI":"10.1007\/s12350-013-9753-8","article-title":"Diagnosing coronary artery disease with hybrid PET\/CT: it takes two to tango","volume":"20","author":"Danad","year":"2013","journal-title":"J. Nucl. Cardiol."}],"container-title":["IJC Heart &amp; Vasculature"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2352906719302088?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2352906719302088?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T05:08:21Z","timestamp":1762492101000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2352906719302088"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2]]},"references-count":30,"alternative-id":["S2352906719302088"],"URL":"https:\/\/doi.org\/10.1016\/j.ijcha.2019.100434","relation":{},"ISSN":["2352-9067"],"issn-type":[{"value":"2352-9067","type":"print"}],"subject":[],"published":{"date-parts":[[2020,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Automated calcium scores collected during myocardial perfusion imaging improve identification of obstructive coronary artery disease","name":"articletitle","label":"Article Title"},{"value":"IJC Heart & Vasculature","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ijcha.2019.100434","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2019 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"100434"}}