{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T05:13:05Z","timestamp":1790140385943,"version":"4.0.1"},"reference-count":40,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T00:00:00Z","timestamp":1751414400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2025,11]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Hypertrophic cardiomyopathy (HCM) is a genetic disorder associated with left ventricular hypertrophy and elevated cardiovascular risk. Emerging evidence suggests glycemic disturbances may exacerbate myocardial injury.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To evaluate the effects of prediabetes and diabetes on myocardium in patients with HCM using cardiac MRI feature tracking (FT).<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Retrospective.<\/jats:p><\/jats:sec><jats:sec><jats:title>Population<\/jats:title><jats:p>One hundred thirty five participants (age: 58\u2009\u00b1\u200910\u2009years; 60% male), divided into four subgroups according to the left ventricular maximal wall thickness (LVMWT) and hemoglobin A1c (HbA1c) level: 36 patients with HCM, 39 patients with prediabetes\u2010HCM, 30 patients with diabetes\u2010HCM, and 30 controls.<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>3.0\u2009T\/balanced steady\u2010state free precession cine and phase\u2010sensitive inversion\u2010prepared late gadolinium enhancement (LGE) sequences.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>The left ventricular global longitudinal strain (GLS), global circumferential strain (GCS), global radial strain (GRS), and their corresponding strain rates (GLSr, GCSr, GRSr), endocardial right ventricular GLS, as well as the presence and extent of replacement myocardial fibrosis, were assessed using Medis software and correlated with glycemic status (HbA1c and LVMWT).<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>Descriptive statistics, analysis of variance, Pearson\/Spearman correlation coefficients (<jats:italic>r<\/jats:italic>), and stepwise regression. <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.05 indicated statistical significance.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>LV\u2010GRS was significantly lower in prediabetes and diabetes\u2010HCM than HCM alone (62.7%\u2009\u00b1\u20097.7% vs. 50.1%\u2009\u00b1\u20095.6% vs. 43.4%\u2009\u00b1\u20096.2%). LV\u2010GLS and endocardial right ventricular GLS were also significantly reduced (LV\u2010GLS: \u221223.2%\u2009\u00b1\u20092.7% vs. \u221220.5%\u2009\u00b1\u20093.6% vs. \u221218.1\u2009\u00b1\u20093.6; endo RV\u2010GLS: \u221236.0%\u2009\u00b1\u20096.7% vs. \u221230.9%\u2009\u00b1\u20097.1% vs. \u221226.6\u2009\u00b1\u20097.0). After adjusting for age, sex, hypertension, and LV mass, LV\u2010GRS remained significantly different across groups. Additionally, a significant negative correlation was observed between LV\u2010GRS and HbA1c (<jats:italic>r<\/jats:italic>\u2009=\u2009\u22120.631), whereas a significant positive correlation was found between LV\u2010GLS and LVMWT (<jats:italic>r<\/jats:italic>\u2009=\u20090.220).<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusions<\/jats:title><jats:p>Strain parameters derived from cardiac MRI FT may detect early myocardial damage in patients with HCM with prediabetes or diabetes, emphasizing the importance of early glycemic control.<\/jats:p><\/jats:sec><jats:sec><jats:title>Evidence Level<\/jats:title><jats:p>3.<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy<\/jats:title><jats:p>Stage 2.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.70031","type":"journal-article","created":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T09:55:40Z","timestamp":1751450140000},"page":"1383-1394","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Glycemic Influences on Hypertrophic Cardiomyopathy Myocardium: Insights From Cardiac <scp>MRI<\/scp> Feature Tracking"],"prefix":"10.1002","volume":"62","author":[{"given":"Xin","family":"Peng","sequence":"first","affiliation":[{"name":"Department of Radiology The Third People's Hospital of Chengdu  Chengdu China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huaibi","family":"Huo","sequence":"additional","affiliation":[{"name":"Department of Radiology The First Hospital of China Medical University  Shenyang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin","family":"Gao","sequence":"additional","affiliation":[{"name":"Department 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