{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T21:10:52Z","timestamp":1764364252530,"version":"3.37.3"},"reference-count":27,"publisher":"Wiley","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","award":["436149","RE02038","PRG6242"],"award-info":[{"award-number":["436149","RE02038","PRG6242"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Ontario Research Fund","award":["436149","RE02038","PRG6242"],"award-info":[{"award-number":["436149","RE02038","PRG6242"]}]},{"name":"Heart and Stroke Foundation of Ontario","award":["436149","RE02038","PRG6242"],"award-info":[{"award-number":["436149","RE02038","PRG6242"]}]},{"DOI":"10.13039\/100008572","name":"University of Ottawa","doi-asserted-by":"publisher","award":["436149","RE02038","PRG6242"],"award-info":[{"award-number":["436149","RE02038","PRG6242"]}],"id":[{"id":"10.13039\/100008572","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010619","name":"University of Ottawa Heart Institute Foundation","doi-asserted-by":"publisher","award":["436149","RE02038","PRG6242"],"award-info":[{"award-number":["436149","RE02038","PRG6242"]}],"id":[{"id":"10.13039\/100010619","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p><jats:italic>Purpose.<\/jats:italic> Myocardial blood flow (MBF) quantification with <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi mathvariant=\"normal\">R<\/mml:mi><mml:mi mathvariant=\"normal\">b<\/mml:mi><\/mml:mrow><mml:mprescripts\/><mml:none\/><mml:mrow><mml:mn mathvariant=\"normal\">82<\/mml:mn><\/mml:mrow><\/mml:mmultiscripts><\/mml:mrow><\/mml:math> positron emission tomography (PET) is gaining clinical adoption, but improvements in precision are desired. This study aims to identify analysis variants producing the most repeatable MBF measures.<jats:italic> Methods.<\/jats:italic> 12 volunteers underwent same-day test-retest rest and dipyridamole stress imaging with dynamic <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi mathvariant=\"normal\">R<\/mml:mi><mml:mi mathvariant=\"normal\">b<\/mml:mi><\/mml:mrow><mml:mprescripts\/><mml:none\/><mml:mrow><mml:mn mathvariant=\"normal\">82<\/mml:mn><\/mml:mrow><\/mml:mmultiscripts><\/mml:mrow><\/mml:math> PET, from which MBF was quantified using 1-tissue-compartment kinetic model variants: (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M3\"><mml:mrow><mml:mn fontstyle=\"italic\">1<\/mml:mn><\/mml:mrow><\/mml:math>) blood-pool versus uptake region sampled input function (Blood\/Uptake-ROI), (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M4\"><mml:mrow><mml:mn fontstyle=\"italic\">2<\/mml:mn><\/mml:mrow><\/mml:math>) dual spillover correction (SOC-On\/Off), (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M5\"><mml:mrow><mml:mn fontstyle=\"italic\">3<\/mml:mn><\/mml:mrow><\/mml:math>) right blood correction (RBC-On\/Off), (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M6\"><mml:mrow><mml:mn fontstyle=\"italic\">4<\/mml:mn><\/mml:mrow><\/mml:math>) arterial blood transit delay (Delay-On\/Off), and (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M7\"><mml:mrow><mml:mn fontstyle=\"italic\">5<\/mml:mn><\/mml:mrow><\/mml:math>) distribution volume (DV) constraint (Global\/Regional-DV). Repeatability of MBF, stress\/rest myocardial flow reserve (MFR), and stress\/rest MBF difference (\u0394MBF) was assessed using nonparametric reproducibility coefficients (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M8\"><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant=\"normal\">R<\/mml:mi><mml:mi mathvariant=\"normal\">P<\/mml:mi><mml:mi mathvariant=\"normal\">C<\/mml:mi><\/mml:mrow><mml:mrow><mml:mi mathvariant=\"normal\">n<\/mml:mi><mml:mi mathvariant=\"normal\">p<\/mml:mi><\/mml:mrow><\/mml:msub><\/mml:mrow><\/mml:math> = 1.45 \u00d7 interquartile range).<jats:italic> Results.<\/jats:italic> MBF using SOC-On, RVBC-Off, Blood-ROI, Global-DV, and Delay-Off was most repeatable for combined rest and stress: <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M9\"><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant=\"normal\">R<\/mml:mi><mml:mi mathvariant=\"normal\">P<\/mml:mi><mml:mi mathvariant=\"normal\">C<\/mml:mi><\/mml:mrow><mml:mrow><mml:mi mathvariant=\"normal\">n<\/mml:mi><mml:mi mathvariant=\"normal\">p<\/mml:mi><\/mml:mrow><\/mml:msub><\/mml:mrow><\/mml:math> = 0.21\u2009mL\/min\/g (15.8%). Corresponding MFR and \u0394MBF <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M10\"><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant=\"normal\">R<\/mml:mi><mml:mi mathvariant=\"normal\">P<\/mml:mi><mml:mi mathvariant=\"normal\">C<\/mml:mi><\/mml:mrow><mml:mrow><mml:mi mathvariant=\"normal\">n<\/mml:mi><mml:mi mathvariant=\"normal\">p<\/mml:mi><\/mml:mrow><\/mml:msub><\/mml:mrow><\/mml:math> were 0.42 (20.2%) and 0.24\u2009mL\/min\/g (23.5%). MBF repeatability improved with SOC-On at stress (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M11\"><mml:mi>p<\/mml:mi><mml:mo>&lt;<\/mml:mo><mml:mn fontstyle=\"italic\">0.001<\/mml:mn><\/mml:math>) and tended to improve with RBC-Off at both rest and stress (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M12\"><mml:mi>p<\/mml:mi><mml:mo>&lt;<\/mml:mo><mml:mn fontstyle=\"italic\">0.08<\/mml:mn><\/mml:math>). DV and ROI did not significantly influence repeatability. The Delay-On model was overdetermined and did not reliably converge.<jats:italic> Conclusion.<\/jats:italic> MBF and MFR test-retest repeatability were the best with dual spillover correction, left atrium blood input function, and global DV.<\/jats:p>","DOI":"10.1155\/2017\/6810626","type":"journal-article","created":{"date-parts":[[2017,2,13]],"date-time":"2017-02-13T16:01:57Z","timestamp":1487001717000},"page":"1-11","source":"Crossref","is-referenced-by-count":8,"title":["Optimally Repeatable Kinetic Model Variant for Myocardial Blood Flow Measurements with <sup>82<\/sup>Rb PET"],"prefix":"10.1155","volume":"2017","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4265-1608","authenticated-orcid":true,"given":"Adrian F.","family":"Ocneanu","sequence":"first","affiliation":[{"name":"Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada"}]},{"given":"Robert A.","family":"deKemp","sequence":"additional","affiliation":[{"name":"National Cardiac PET Centre, Division of Cardiology, Department of Medicine, University of Ottawa Heart Institute, Ottawa, ON, Canada"}]},{"given":"Jennifer M.","family":"Renaud","sequence":"additional","affiliation":[{"name":"National Cardiac PET Centre, Division of Cardiology, Department of Medicine, University of Ottawa Heart Institute, Ottawa, ON, Canada"}]},{"given":"Andy","family":"Adler","sequence":"additional","affiliation":[{"name":"Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada"}]},{"given":"Rob S. 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