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Studies showing hypoperfusion due to ischemia and\/or prior myocardial infarction were excluded. Global myocardial blood flow during rest (MBF\n                      <jats:sub>rest<\/jats:sub>\n                      ), stress (MBF\n                      <jats:sub>stress<\/jats:sub>\n                      ) and recovery (MBF\n                      <jats:sub>recovery<\/jats:sub>\n                      ) and MPR indices (MPR\n                      <jats:sub>stress\/rest<\/jats:sub>\n                      and MPR\n                      <jats:sub>stress\/recovery<\/jats:sub>\n                      ) were calculated using automated pixel-wise quantitative myocardial perfusion mapping.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 30 patients (22 males, mean age of 62.7\u2009\u00b1\u20091\u00a0years) were included in the analysis. Global MBF\n                      <jats:sub>rest<\/jats:sub>\n                      and MBF\n                      <jats:sub>stress<\/jats:sub>\n                      were 0.83\u2009\u00b1\u20090.2\u00a0mL\/g\/min and 2.1\u2009\u00b1\u20090.6\u00a0mL\/g\/min, respectively. After recovery with euphylline, myocardial perfusion did not return to the resting values (MBF\n                      <jats:sub>recovery<\/jats:sub>\n                      of 0.92\u2009\u00b1\u20090.3\u00a0mL\/g\/min) and statistically differed from MBF\n                      <jats:sub>rest<\/jats:sub>\n                      (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.01), suggesting residual myocardial hyperemia. This resulted in an abnormally low MPR\n                      <jats:sub>stress\/recovery<\/jats:sub>\n                      (2.43\u2009\u00b1\u20090.7) with respect to MPR\n                      <jats:sub>stress\/rest<\/jats:sub>\n                      (2.56\u2009\u00b1\u20090.7) (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.03). A linear mixed-effects model accounting for repeated measures revealed statistically significant group differences over time in global MBF (mean difference 0.1, 95% CI 0.02\u20130.17,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.01) and global MPR (mean difference \u22120.13, 95% CI \u22120.25 to \u22120.02,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.02).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      Despite the use of euphylline to counteract the vasodilator effect, MBF does not completely revert to resting values and MBF\n                      <jats:sub>recovery<\/jats:sub>\n                      cannot be used as a substitute for MBF\n                      <jats:sub>rest<\/jats:sub>\n                      when regadenoson is used. Consequently, a rest\/stress protocol is advised for quantitative CMR perfusion to obtain accurate MBF and MPR parameters.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s11547-025-02062-3","type":"journal-article","created":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T12:03:15Z","timestamp":1755950595000},"page":"1777-1785","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Residual myocardial hyperemia in regadenoson stress\/rest quantitative perfusion cardiac magnetic resonance"],"prefix":"10.1007","volume":"130","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9493-6907","authenticated-orcid":false,"given":"Gorka","family":"Bastarrika","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ana","family":"Ezponda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Javier","family":"Mu\u00f1iz-S\u00e1enz-Diez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marta","family":"Vidorreta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amaia","family":"Ochoa Gonz\u00e1lez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juan Jos\u00e9","family":"Gavira","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nahikari","family":"Salterain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,8,23]]},"reference":[{"key":"2062_CR1","doi-asserted-by":"publisher","first-page":"2445","DOI":"10.1016\/j.jacc.2023.03.410","volume":"81","author":"DE Winchester","year":"2023","unstructured":"Winchester DE, Maron DJ, Blankstein R, Chang IC, Kirtane AJ, Kwong RY, Pellikka PA, Prutkin JM, Russell R, Sandhu AT (2023) ACC\/AHA\/ASE\/ASNC\/ASPC\/HFSA\/HRS\/SCAI\/SCCT\/SCMR\/STS 2023 multimodality appropriate use criteria for the detection and risk assessment of chronic coronary disease. 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