{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T16:35:52Z","timestamp":1771950952435,"version":"3.50.1"},"reference-count":19,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2021,11,29]],"date-time":"2021-11-29T00:00:00Z","timestamp":1638144000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2021,11,29]],"date-time":"2021-11-29T00:00:00Z","timestamp":1638144000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Jpn J Radiol"],"published-print":{"date-parts":[[2022,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Purpose<\/jats:title>\n                <jats:p>This study aimed to evaluate whether quantification of myocardial susceptibility by cardiac magnetic resonance imaging (CMR) can be an imaging biomarker for cardiac amyloidosis (CA).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Materials and methods<\/jats:title>\n                <jats:p>Twenty-six patients with CA underwent CMR, including magnetic phase imaging with a 3.0-T magnetic resonance imaging scanner. Myocardial susceptibility was quantified as a phase shift slope value by magnetic phase analysis. Those values from patients with CA were compared with corresponding values from 18 controls and 15 healthy volunteers. A univariate logistic regression analysis was conducted to identify significant parameters related to CA.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>The phase shift slope, a quantitative parameter of myocardial susceptibility, was significantly lower in the CA group compared with the control group and compared with healthy volunteers (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.01). From a total of 17 tested variables, 6 were considered to be significant predictors of CA (<jats:italic>p<\/jats:italic>\u2009\u2264\u20090.05) during the univariate analysis. The phase shift slope yielded the best AUC of 0.89 (95% CI\u2009=\u20090.79\u20130.98) for the prediction of CA (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.01). The phase shift slope was significantly correlated with the end-diastolic thickness of the interventricular septum (<jats:italic>r<\/jats:italic>\u2009=\u2009\u2009\u2212\u20090.39, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.01) and posterior wall of the left ventricle (<jats:italic>r<\/jats:italic>\u2009=\u2009\u2009\u2212\u20090.35, <jats:italic>p<\/jats:italic>\u2009=\u20090.02).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>Myocardial susceptibility analysis by CMR helps in the diagnosis of patients with CA and can be a new quantitative imaging biomarker for CA.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s11604-021-01228-z","type":"journal-article","created":{"date-parts":[[2021,11,29]],"date-time":"2021-11-29T04:20:21Z","timestamp":1638159621000},"page":"500-507","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Can myocardial susceptibility quantification be an imaging biomarker for cardiac amyloidosis?"],"prefix":"10.1007","volume":"40","author":[{"given":"Hidetaka","family":"Hayashi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seitaro","family":"Oda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masafumi","family":"Kidoh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takeshi","family":"Nakaura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kosuke","family":"Morita","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yasunori","family":"Nagayama","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tetsuya","family":"Yoneda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seiji","family":"Takashio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yohei","family":"Misumi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mitsuharu","family":"Ueda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kenichi","family":"Tsujita","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Toshinori","family":"Hirai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,11,29]]},"reference":[{"issue":"2","key":"1228_CR1","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.jjcc.2017.10.003","volume":"71","author":"Y Izumiya","year":"2018","unstructured":"Izumiya Y, Takashio S, Oda S, et al. 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