{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T20:39:52Z","timestamp":1790023192810,"version":"4.0.1"},"reference-count":38,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2020,10,16]],"date-time":"2020-10-16T00:00:00Z","timestamp":1602806400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2021,3]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Myocardial perfusion is evaluated in first\u2010pass MRI using a gadolinium\u2010based contrast agent, which limits its repeatability and restricts its use in patients with abnormal kidney function. Arterial spin labeling (ASL) is a promising technique for measuring myocardial perfusion without contrast injection. The ratio of stress to rest perfusion, termed myocardial perfusion reserve (MPR), is an indicator of the severity of stenosis in patients with coronary artery disease (CAD).<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To quantify perfusion increases with pharmacological vasodilation, explore MPR differences between segments with and without perfusion defects, and examine the correlations between quantitative ASL and semiquantitative first\u2010pass measurements.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Prospective.<\/jats:p><\/jats:sec><jats:sec><jats:title>Subjects<\/jats:title><jats:p>Sixteen patients with suspected CAD: 10 classified as \u201chealthy,\u201d having normal perfusion on first\u2010pass and no enhancement on late gadolinium enhancement (LGE), and six as \u201cnonhealthy,\u201d having hypoperfused segments including ischemic and infarcted.<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>Flow\u2010sensitive alternating inversion recovery (FAIR) rest\u2013stress cardiac ASL with balanced steady\u2010state free precession (bSSFP), rest\u2013stress first\u2010pass imaging using gradient\u2010echo and LGE using a phase\u2010sensitive inversion\u2010recovery bSSFP at 1.5T.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>For healthy subjects, rest\u2013stress perfusion data were compared in global, coronary artery territory, and segment regions of interest (ROIs). A segmental MPR comparison was performed between normal segments from healthy subjects and abnormal segments from nonhealthy subjects. Correlations between ASL and first\u2010pass parameters were explored.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>Wilcoxon\u2010signed\u2010rank test, nonparametric factorial analysis of variance (ANOVA), and Pearson's\/Spearman's correlations.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Perfusion increases were significant globally (<jats:italic>P<\/jats:italic> = 0.005), per coronary artery territory (<jats:italic>P<\/jats:italic> = 0.015), and per segment (<jats:italic>P<\/jats:italic> = 0.03 for all segments in ASL and first\u2010pass, except anteroseptal in ASL <jats:italic>P<\/jats:italic> = 0.04). MPR differences between normal and abnormal segments were significant (<jats:italic>P<\/jats:italic> = 0.0028: ASL, <jats:italic>P<\/jats:italic> = 0.033: first\u2010pass). ASL and first\u2010pass measurements were correlated (MPR: <jats:italic>r =<\/jats:italic> 0.64, <jats:italic>P<\/jats:italic> = 0.008 and perfusion: <jats:italic>rho<\/jats:italic> = 0.47, <jats:italic>P<\/jats:italic> = 0.007).<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>This study demonstrates the feasibility of ASL to detect hyperemia, the potential to differentiate segments with and without perfusion defects, and significant correlations between ASL and semiquantitative first\u2010pass.<\/jats:p><\/jats:sec><jats:sec><jats:title>Level of Evidence<\/jats:title><jats:p>2<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy Stage<\/jats:title><jats:p>1<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.27396","type":"journal-article","created":{"date-parts":[[2020,10,16]],"date-time":"2020-10-16T07:44:35Z","timestamp":1602834275000},"page":"777-788","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Quantification of Myocardial Perfusion With Vasodilation Using Arterial Spin Labeling at 1.5T"],"prefix":"10.1002","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9834-2866","authenticated-orcid":false,"given":"Ver\u00f3nica","family":"Aramend\u00eda\u2010Vidaurreta","sequence":"first","affiliation":[{"name":"Department of Radiology Cl\u00ednica Universidad de Navarra  Pamplona Spain"},{"name":"IdiSNA, Instituto de Investigaci\u00f3n Sanitaria de Navarra  Pamplona Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0199-2593","authenticated-orcid":false,"given":"Rebeca","family":"Echeverr\u00eda\u2010Chasco","sequence":"additional","affiliation":[{"name":"Department of Radiology Cl\u00ednica Universidad de Navarra  Pamplona Spain"},{"name":"IdiSNA, Instituto de Investigaci\u00f3n Sanitaria de Navarra  Pamplona Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marta","family":"Vidorreta","sequence":"additional","affiliation":[{"name":"Siemens Healthineers  Madrid Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gorka","family":"Bastarrika","sequence":"additional","affiliation":[{"name":"Department of Radiology Cl\u00ednica Universidad de Navarra  Pamplona Spain"},{"name":"IdiSNA, Instituto de Investigaci\u00f3n Sanitaria de Navarra  Pamplona Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8536-6295","authenticated-orcid":false,"given":"Mar\u00eda A.","family":"Fern\u00e1ndez\u2010Seara","sequence":"additional","affiliation":[{"name":"Department of Radiology Cl\u00ednica Universidad de Navarra  Pamplona Spain"},{"name":"IdiSNA, Instituto de Investigaci\u00f3n Sanitaria de Navarra  Pamplona Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2020,10,16]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0000000000000757"},{"key":"e_1_2_7_3_1","unstructured":"AllenderS ScarboroughP PetoV.European Cardiovascular Disease Statistics. 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