{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T18:48:29Z","timestamp":1760986109706,"version":"3.40.5"},"reference-count":39,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2022,4,18]],"date-time":"2022-04-18T00:00:00Z","timestamp":1650240000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81771791","U1908211"],"award-info":[{"award-number":["81771791","U1908211"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2023,1]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Diffuse myocardial interstitial fibrosis (DMIF) is a key factor for heart failure (HF) in diabetic cardiomyopathy. MRI T1\u2010mapping technique can quantitatively evaluate DMIF.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To evaluate of early DMIF in a type 1 diabetes mellitus (T1DM) mouse model through 7.0\u2009T MRI T1 mapping.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Prospective.<\/jats:p><\/jats:sec><jats:sec><jats:title>Animal Model<\/jats:title><jats:p>A total of 50 8\u2010week\u2010old <jats:styled-content style=\"fixed-case\">C57Bl<\/jats:styled-content>\/<jats:styled-content style=\"fixed-case\">6J<\/jats:styled-content> male mice were divided into control (<jats:italic>n<\/jats:italic>\u00a0=\u00a020) and <jats:styled-content style=\"fixed-case\">T1DM<\/jats:styled-content> (<jats:italic>n<\/jats:italic>\u00a0=\u00a030) groups.<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>A 7.0\u2009T small animal <jats:styled-content style=\"fixed-case\">MRI<\/jats:styled-content>; gradient echo Look\u2013Locker inversion recovery <jats:styled-content style=\"fixed-case\">T1<\/jats:styled-content>\u2010mapping sequence; cine <jats:styled-content style=\"fixed-case\">MRI<\/jats:styled-content>. Scans were acquired in control and <jats:styled-content style=\"fixed-case\">T1DM<\/jats:styled-content> mice every 4\u2009weeks until 24\u2009weeks.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>End\u2010diastolic volume (EDV), end\u2010systolic volume (ESV), ejection fraction (EF), left ventricle (LV) mass, fractional shortening (FS), and E\/A ratio. They were evaluated through echocardiography and cine MRI. The extracellular volume fraction (ECV) was calculated. Sirius Red staining was performed and calculated collagen volume fraction (CVF).<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>Differences in ECV and CVF between two groups were analyzed using one\u2010way analysis of variance. The correlation between ECV and CVF was assessed using Pearson's correlations.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Compared with the control group, a progressive decrease in FS, EF, and E\/A ratio was observed in the T1DM group. Both ECV and CVF values gradually increased during diabetes progression. A significant increase in ECV and CVF values was observed at 12\u2009weeks (ECV: 32.5%\u2009\u00b1\u20091.6% vs. 28.1%\u2009\u00b1\u20091.8%; CVF: 6.9%\u2009\u00b1\u20091.8% vs. 3.3%\u2009\u00b1\u20091.1%). ECV showed a strong correlation with CVF (<jats:italic>r<\/jats:italic>\u00a0=\u00a00.856).<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>ECV is an accurate and feasible imaging marker that can be used to quantitatively assess DMIF changes over time in T1DM mice. ECV has potential to accurately detect DMIF in the early stage and may be a useful imaging tool to assess the need for early intervention in T1DM mice.<\/jats:p><\/jats:sec><jats:sec><jats:title>Evidence Level<\/jats:title><jats:p>1<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy<\/jats:title><jats:p>Stage 3.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.28207","type":"journal-article","created":{"date-parts":[[2022,4,18]],"date-time":"2022-04-18T12:58:38Z","timestamp":1650286718000},"page":"167-177","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Quantification of Early Diffuse Myocardial Fibrosis Through 7.0\u2009T Cardiac Magnetic Resonance <scp>T1<\/scp> Mapping in a Type 1 Diabetic Mellitus Mouse Model"],"prefix":"10.1002","volume":"57","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6191-5106","authenticated-orcid":false,"given":"Hongkai","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Radiology, Beijing Anzhen Hospital Capital Medical University, 2 Anzhen Road  Beijing China 100029"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunyan","family":"Shi","sequence":"additional","affiliation":[{"name":"Department of Radiology, Beijing Anzhen Hospital Capital Medical University, 2 Anzhen Road  Beijing China 100029"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Beijing Anzhen Hospital Capital Medical University, 2 Anzhen Road  Beijing China 100029"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Beijing Anzhen 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