{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T21:00:11Z","timestamp":1740171611213,"version":"3.37.3"},"reference-count":35,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2015,7,4]],"date-time":"2015-07-04T00:00:00Z","timestamp":1435968000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100003793","name":"Hj\u00e4rt-Lungfonden","doi-asserted-by":"publisher","award":["20120449"],"award-info":[{"award-number":["20120449"]}],"id":[{"id":"10.13039\/501100003793","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Clin Physio Funct Imaging"],"published-print":{"date-parts":[[2017,1]]},"abstract":"Summary<\/jats:title>Background<\/jats:title>To assess myocardial perfusion, steady\u2010state free precession cardiac magnetic resonance (SSFP<\/jats:styled-content>, CMR<\/jats:styled-content>) was compared with gradient\u2010echo\u2013echo\u2010planar imaging (GRE<\/jats:styled-content>\u2010EPI<\/jats:styled-content>) using myocardial perfusion scintigraphy (MPS<\/jats:styled-content>) as reference.<\/jats:p><\/jats:sec>Methods<\/jats:title>Cardiac magnetic resonance perfusion was recorded in 30 patients with SSFP<\/jats:styled-content> and in another 30 patients with GRE<\/jats:styled-content>\u2010EPI<\/jats:styled-content>. Timing and extent of inflow delay to the myocardium was visually assessed. Signal\u2010to\u2010noise (SNR<\/jats:styled-content>) and contrast\u2010to\u2010noise (CNR<\/jats:styled-content>) ratios were calculated. Myocardial scar was visualized with a phase\u2010sensitive inversion recovery sequence (PSIR<\/jats:styled-content>). All scar positive segments were considered pathologic. In MPS<\/jats:styled-content>, stress and rest images were used as in clinical reporting. The CMR<\/jats:styled-content> contrast wash\u2010in slope was calculated and compared with the stress score from the MPS<\/jats:styled-content> examination. CMR<\/jats:styled-content> scar, CMR<\/jats:styled-content> perfusion and MPS<\/jats:styled-content> were assessed separately by one expert for each method who was blinded to other aspects of the study.<\/jats:p><\/jats:sec>Results<\/jats:title>Visual assessment of CMR<\/jats:styled-content> had a sensitivity for the detection of an abnormal MPS<\/jats:styled-content> at 78% (SSFP<\/jats:styled-content>) versus 91% (GRE<\/jats:styled-content>\u2010EPI<\/jats:styled-content>) and a specificity of 58% (SSFP<\/jats:styled-content>) versus 84% (GRE<\/jats:styled-content>\u2010EPI<\/jats:styled-content>). Kappa statistics for SSFP<\/jats:styled-content> and MPS<\/jats:styled-content> was 0\u00b729, for GRE<\/jats:styled-content>\u2010EPI<\/jats:styled-content> and MPS<\/jats:styled-content> 0\u00b772. The ANOVA<\/jats:styled-content> of CMR<\/jats:styled-content> perfusion slopes for all segments versus MPS<\/jats:styled-content> score (four levels based on MPS<\/jats:styled-content>) had correlation r<\/jats:italic>\u00a0=\u00a00\u00b764 (SSFP<\/jats:styled-content>) and r<\/jats:italic>\u00a0=\u00a00\u00b796 (GRE<\/jats:styled-content>\u2010EPI<\/jats:styled-content>). SNR<\/jats:styled-content> was for normal segments 35\u00b763\u00a0\u00b1\u00a011\u00b780 (SSFP<\/jats:styled-content>) and 17\u00b798\u00a0\u00b1\u00a08\u00b731 (GRE<\/jats:styled-content>\u2010EPI<\/jats:styled-content>), while CNR<\/jats:styled-content> was 28\u00b779\u00a0\u00b1\u00a010\u00b743 (SSFP<\/jats:styled-content>) and 13\u00b706\u00a0\u00b1\u00a07\u00b761 (GRE<\/jats:styled-content>\u2010EPI<\/jats:styled-content>).<\/jats:p><\/jats:sec>Conclusion<\/jats:title>GRE<\/jats:styled-content>\u2010EPI<\/jats:styled-content> displayed higher agreement with the MPS<\/jats:styled-content> results than SSFP<\/jats:styled-content> despite significantly lower signal intensity, SNR<\/jats:styled-content> and CNR<\/jats:styled-content>.<\/jats:p><\/jats:sec>","DOI":"10.1111\/cpf.12267","type":"journal-article","created":{"date-parts":[[2015,7,4]],"date-time":"2015-07-04T06:29:17Z","timestamp":1435991357000},"page":"52-61","source":"Crossref","is-referenced-by-count":3,"title":["An echo\u2010planar imaging sequence is superior to a steady\u2010state free precession sequence for visual as well as quantitative assessment of cardiac magnetic resonance stress perfusion"],"prefix":"10.1111","volume":"37","author":[{"given":"Britt\u2010Marie","family":"Ahlander","sequence":"first","affiliation":[{"name":"Department of Radiology Ryhov County Hospital Jonkoping Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eva","family":"Maret","sequence":"additional","affiliation":[{"name":"Department of Radiology Ryhov County Hospital Jonkoping Sweden"},{"name":"Department of Clinical Physiology Karolinska University Hospital Stockholm Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lars","family":"Brudin","sequence":"additional","affiliation":[{"name":"Department of Clinical Physiology Kalmar County Hospital Kalmar Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sven\u2010Ake","family":"Starck","sequence":"additional","affiliation":[{"name":"Department of Natural Science and Biomedicine School of Health Sciences Jonkoping University Jonkoping Sweden"},{"name":"Department of Oncology Hospital Physics Ryhov County Hospital Jonkoping Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5716-5098","authenticated-orcid":false,"given":"Jan","family":"Engvall","sequence":"additional","affiliation":[{"name":"Department of Medical and Health Sciences Linkoping University Linkoping Sweden"},{"name":"Department of Clinical Physiology County Council of Ostergotland Linkoping Sweden"},{"name":"Center of Medical Image Science and Visualisation Linkoping University Linkoping Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2015,7,4]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.20073"},{"key":"e_1_2_7_3_1","first-page":"357","article-title":"Variability in quantitative cardiac magnetic resonance perfusion analysis","volume":"5","author":"Bratis K","year":"2013","journal-title":"J Thorac Dis"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/cpf.12125"},{"key":"e_1_2_7_5_1","first-page":"539","article-title":"Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. 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