{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T05:03:04Z","timestamp":1789534984054,"version":"build-2803163510"},"reference-count":39,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T00:00:00Z","timestamp":1785283200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T00:00:00Z","timestamp":1785283200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["NSFC82430061"],"award-info":[{"award-number":["NSFC82430061"]}],"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":[[2026,10]]},"abstract":"ABSTRACT<\/jats:title>\n \n Background<\/jats:title>\n MR elastography (MRE) has applications in breast cancer, but its optimal frequency and value in discriminating molecular subtypes remain unclear.<\/jats:p>\n <\/jats:sec>\n \n Purpose<\/jats:title>\n To identify the preferable breast MRE frequency and evaluate MRE parameters in the precision diagnosis of breast cancer.<\/jats:p>\n <\/jats:sec>\n \n Study Type<\/jats:title>\n Prospective.<\/jats:p>\n <\/jats:sec>\n \n Population<\/jats:title>\n One hundred fifty\u2010four female patients (mean age 50\u2009\u00b1\u200910.67\u2009years) were enrolled, including five with bilateral cancer, yielding 159 lesions.<\/jats:p>\n <\/jats:sec>\n \n Field Strength\/Sequence<\/jats:title>\n \n 3.0 T, fast gradient\u2010echo for\n DCE<\/jats:styled-content>\n \u2010\n MRI<\/jats:styled-content>\n , single\u2010shot\n EPI<\/jats:styled-content>\n for\n DWI<\/jats:styled-content>\n \/\n ADC<\/jats:styled-content>\n ,\n SE<\/jats:styled-content>\n \u2010\n EPI<\/jats:styled-content>\n for multifrequency\n MRE<\/jats:styled-content>\n .\n <\/jats:p>\n <\/jats:sec>\n \n Assessment<\/jats:title>\n \n The image quality of 10 frequency MRE sets was assessed (including overall image quality, diagnostic confidence, artifact impact, and signal\u2010to\u2010noise ratio). Stiffness (\n c<\/jats:italic>\n ) and viscosity (\n \u03c6<\/jats:italic>\n ) were measured at the optimal frequency and compared across clinicopathological subgroups.\n <\/jats:p>\n <\/jats:sec>\n \n Statistical Tests<\/jats:title>\n \n Independent\u2010sample\n t<\/jats:italic>\n \u2010tests or one\u2010way analysis of variance, Mann\u2013Whitney U or Kruskal\u2013Wallis H tests, Friedman test, \u03c7\n 2<\/jats:sup>\n tests. Spearman's rank correlation. Univariate and multivariate analyses. Receiver operating characteristic (ROC) curves, the area under the curve (AUC).\n p<\/jats:italic>\n \u2009<\u20090.05 was considered statistically significant.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n The 40\u201370\u2009Hz multifrequency band demonstrated significantly superior image quality compared with all other bands. Subgroup analyses showed that\n c<\/jats:italic>\n and\n \u03c6<\/jats:italic>\n differed significantly between ER\u2010positive and ER\u2010negative groups (\n c<\/jats:italic>\n values: 2.54 (2.17\u20132.86) vs. 2.80 (2.37\u20133.30) m\/s;\n \u03c6<\/jats:italic>\n values: 1.17\u2009\u00b1\u20090.21 vs. 1.24\u2009\u00b1\u20090.22\u2009radians) and across groups with different Ki\u201067 expression levels (\n c<\/jats:italic>\n values: 2.54\u2009\u00b1\u20090.54 vs. 2.77\u2009\u00b1\u20090.57\u2009m\/s), T stage, molecular subtypes (\n c<\/jats:italic>\n values: 2.55 (2.20\u20132.82) vs. 2.69 (2.20\u20132.96) vs. 2.94 (2.52\u20133.33) m\/s), and enhancement patterns (\n c<\/jats:italic>\n values: 2.34\u2009\u00b1\u20090.41 vs. 2.73\u2009\u00b1\u20090.58\u2009m\/s). Multivariable analysis identified\n c<\/jats:italic>\n [OR: 5.37 (2.13\u201315.54)] and age group [OR: 0.27 (0.09\u20130.82)] as significant independent predictors of triple\u2010negative breast cancer, and a predictive model incorporating these variables demonstrated an AUC of 0.739 in the training set and 0.700 in the validation set.\n <\/jats:p>\n <\/jats:sec>\n \n Data Conclusion<\/jats:title>\n The 40\u201370\u2009Hz multifrequency protocol may offer favorable image quality for breast MRE. MRE parameters, particularly stiffness, show potential for characterizing tissue biomechanical properties and could assist in distinguishing molecular subtypes.<\/jats:p>\n <\/jats:sec>\n \n Evidence Level<\/jats:title>\n 1.<\/jats:p>\n <\/jats:sec>\n \n Stage of Technical Efficacy<\/jats:title>\n Stage 2.<\/jats:p>\n <\/jats:sec>","DOI":"10.1002\/jmri.70469","type":"journal-article","created":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T16:20:46Z","timestamp":1785342046000},"page":"1089-1101","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Magnetic Resonance Elastography in Breast Cancer: A Prospective Study on Optimal Imaging Frequency Selection and Differentiation of Molecular Subtypes"],"prefix":"10.1002","volume":"64","author":[{"given":"Xiaowen","family":"Ma","sequence":"first","affiliation":[{"name":"Department of Radiology Fudan University Shanghai Cancer Center Shanghai China"},{"name":"Department 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