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The CMR imaging protocol included late gadolinium enhancement to rule out presence of scar tissue and perfusion imaging using a dual sequence, single bolus technique. Absolute MBF was determined for the three main vascular territories at rest and during vasodilator stress.<\/jats:p>\n<\/jats:sec><jats:sec>\n<jats:title>Results<\/jats:title>\n<jats:p>CMR measurements of regional stress MBF and MFR showed only moderate correlation to those obtained using PET (<jats:italic>r<\/jats:italic>\u2009=\u20090.39; <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001 for stress MBF and <jats:italic>r<\/jats:italic>\u2009=\u20090.36; <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001 for MFR). Bland-Altman analysis revealed a significant bias of 0.2\u2009\u00b1\u20091.0 mL\/min\/g for stress MBF and \u2212\u20090.5\u2009\u00b1\u20091.2 for MFR. CMR-derived stress MBF and MFR demonstrated area under the curves of respectively 0.72 (95% CI: 0.65 to 0.79) and 0.76 (95% CI: 0.69 to 0.83) and had optimal cutoff values of 2.35\u00a0mL\/min\/g and 2.25 for detecting abnormal myocardial perfusion, defined as [<jats:sup>15<\/jats:sup>O]H<jats:sub>2<\/jats:sub>O PET-derived stress MBF \u2264\u20092.3\u00a0mL\/min\/g and MFR \u2264\u20092.5. Using these cutoff values, CMR and PET were concordant in 137 (77%) vascular territories for stress MBF and 135 (80%) vascular territories for MFR.<\/jats:p>\n<\/jats:sec><jats:sec>\n<jats:title>Conclusion<\/jats:title>\n<jats:p>CMR measurements of stress MBF and MFR showed modest agreement to those obtained with [<jats:sup>15<\/jats:sup>O]H<jats:sub>2<\/jats:sub>O PET. Nevertheless, stress MBF and MFR were concordant between CMR and [<jats:sup>15<\/jats:sup>O]H<jats:sub>2<\/jats:sub>O PET in 77% and 80% of vascular territories, respectively.<\/jats:p>\n<\/jats:sec>","DOI":"10.1007\/s00259-019-04641-9","type":"journal-article","created":{"date-parts":[[2019,12,10]],"date-time":"2019-12-10T16:04:48Z","timestamp":1575993888000},"page":"1688-1697","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Comparison between quantitative cardiac magnetic resonance perfusion imaging and [15O]H2O positron emission tomography"],"prefix":"10.1007","volume":"47","author":[{"given":"Henk","family":"Everaars","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pepijn A.","family":"van Diemen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michiel J.","family":"Bom","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefan P.","family":"Schumacher","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruben W.","family":"de Winter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter M.","family":"van de Ven","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pieter G.","family":"Raijmakers","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adriaan A.","family":"Lammertsma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark B. 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