{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T19:59:39Z","timestamp":1762459179063},"reference-count":34,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"4","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["Circ: Cardiovascular Imaging"],"published-print":{"date-parts":[[2014,7]]},"abstract":"<jats:sec>\n            <jats:title>Background\u2014<\/jats:title>\n            <jats:p>Adenosine stress cardiovascular magnetic resonance perfusion imaging can be limited by motion-induced dark-rim artifacts, which may be mistaken for true perfusion abnormalities. A high-resolution variable-density spiral pulse sequence with a novel density compensation strategy has been shown to reduce dark-rim artifacts in first-pass perfusion imaging. We aimed to assess the clinical performance of adenosine stress cardiovascular magnetic resonance using this new perfusion sequence to detect obstructive coronary artery disease.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods and Results\u2014<\/jats:title>\n            <jats:p>Cardiovascular magnetic resonance perfusion imaging was performed during adenosine stress (140 \u03bcg\/kg per minute) and at rest on a Siemens 1.5-T Avanto scanner in 41 subjects with chest pain scheduled for coronary angiography. Perfusion images were acquired during injection of 0.1 mmol\/kg Gadolinium-diethylenetriaminepentacetate at 3 short-axis locations using a saturation recovery interleaved variable-density spiral pulse sequence. Significant stenosis was defined as &gt;50% by quantitative coronary angiography. Two blinded reviewers evaluated the perfusion images for the presence of adenosine-induced perfusion abnormalities and assessed image quality using a 5-point scale (1 [poor] to 5 [excellent]). The prevalence of obstructive coronary artery disease by quantitative coronary angiography was 68%. The average sensitivity, specificity, and accuracy were 89%, 85%, and 88%, respectively, with a positive predictive value and negative predictive value of 93% and 79%, respectively. The average image quality score was 4.4\u00b10.7, with only 1 study with more than mild dark-rim artifacts. There was good inter-reader reliability with a \u03ba statistic of 0.67.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions\u2014<\/jats:title>\n            <jats:p>Spiral adenosine stress cardiovascular magnetic resonance results in high diagnostic accuracy for the detection of obstructive coronary artery disease with excellent image quality and minimal dark-rim artifacts.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/circimaging.113.001584","type":"journal-article","created":{"date-parts":[[2014,4,24]],"date-time":"2014-04-24T04:25:20Z","timestamp":1398313520000},"page":"639-646","update-policy":"http:\/\/dx.doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":20,"title":["Adenosine Stress Cardiovascular Magnetic Resonance With Variable-Density Spiral Pulse Sequences Accurately Detects Coronary Artery Disease"],"prefix":"10.1161","volume":"7","author":[{"given":"Michael","family":"Salerno","sequence":"first","affiliation":[{"name":"From the Cardiovascular Division, Department of Medicine (M.S., A.T., S.K., M.R., C.M.K.) and Department of Radiology and Medical Imaging (M.S., C.H.M., C.M.K.), University of Virginia Health System, Charlottesville; and Department of Biomedical Engineering, University of Virginia, Charlottesville (M.S., Y.Y., C.H.M.)."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Angela","family":"Taylor","sequence":"additional","affiliation":[{"name":"From the Cardiovascular Division, Department of Medicine (M.S., A.T., S.K., M.R., C.M.K.) and Department of Radiology and Medical Imaging (M.S., C.H.M., C.M.K.), University of Virginia Health System, Charlottesville; and Department of Biomedical Engineering, University of Virginia, Charlottesville (M.S., Y.Y., C.H.M.)."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Yang","sequence":"additional","affiliation":[{"name":"From the Cardiovascular Division, Department of Medicine (M.S., A.T., S.K., M.R., C.M.K.) and Department of Radiology and Medical Imaging (M.S., C.H.M., C.M.K.), University of Virginia Health System, Charlottesville; and Department of Biomedical Engineering, University of Virginia, Charlottesville (M.S., Y.Y., C.H.M.)."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sujith","family":"Kuruvilla","sequence":"additional","affiliation":[{"name":"From the Cardiovascular Division, Department of Medicine (M.S., A.T., S.K., M.R., C.M.K.) and Department of Radiology and Medical Imaging (M.S., C.H.M., C.M.K.), University of Virginia Health System, Charlottesville; and Department of Biomedical Engineering, University of Virginia, Charlottesville (M.S., Y.Y., C.H.M.)."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Ragosta","sequence":"additional","affiliation":[{"name":"From the Cardiovascular Division, Department of Medicine (M.S., A.T., S.K., M.R., C.M.K.) and Department of Radiology and Medical Imaging (M.S., C.H.M., C.M.K.), University of Virginia Health System, Charlottesville; and Department of Biomedical Engineering, University of Virginia, Charlottesville (M.S., Y.Y., C.H.M.)."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Craig H.","family":"Meyer","sequence":"additional","affiliation":[{"name":"From the Cardiovascular Division, Department of Medicine (M.S., A.T., S.K., M.R., C.M.K.) and Department of Radiology and Medical Imaging (M.S., C.H.M., C.M.K.), University of Virginia Health System, Charlottesville; and Department of Biomedical Engineering, University of Virginia, Charlottesville (M.S., Y.Y., C.H.M.)."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher M.","family":"Kramer","sequence":"additional","affiliation":[{"name":"From the Cardiovascular Division, Department of Medicine (M.S., A.T., S.K., M.R., C.M.K.) and Department of Radiology and Medical Imaging (M.S., C.H.M., C.M.K.), University of Virginia Health System, Charlottesville; 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