{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T18:10:03Z","timestamp":1750788603003,"version":"3.41.0"},"reference-count":36,"publisher":"Public Library of Science (PLoS)","issue":"6","license":[{"start":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T00:00:00Z","timestamp":1750723200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Institute of Health","award":["R03CA223052"],"award-info":[{"award-number":["R03CA223052"]}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"\nPurpose<\/jats:title>\nBreast density (BD) is a significant risk factor for breast cancer, yet current assessment methods lack automation, quantification, and cross-platform consistency. This study aims to evaluate the reliability and cross-platform consistency of MagDensity, a novel magnetic resonance imaging (MRI)-based quantitative BD measure, across different imaging platforms.<\/jats:p>\n<\/jats:sec>\n\nMethods<\/jats:title>\nTen healthy volunteers participated in this prospective study, undergoing fat-water MRI scans on three scanners: 3T Siemens Prisma, 3T Siemens Biograph mMR, and 1.5T GE Signa. Great effort was made to schedule all scans within a narrow three-hour window on the same day to minimize any potential intra- or inter-day variations, requiring substantial logistical coordination. BD was assessed using the MagDensity technique, which included combining magnitude and phase images, applying a fat-water separation technique, employing an automated whole-breast segmentation algorithm, and quantifying the volumetric water fraction. Agreement between measures across scanners was analyzed using mean differences, two-tailed t-tests, Pearson\u2019s correlation, and Bland-Altman analysis.<\/jats:p>\n<\/jats:sec>\n\nResults<\/jats:title>\nMagDensity measures obtained from the two 3T Siemens scanners demonstrated no statistically significant differences, with high correlation (Pearson\u2019s r\u2009>\u20090.99) and negligible mean differences (< 0.2%). Cross-platform comparison between the 3T Siemens and the 1.5T GE scanners showed larger mean differences (< 4.2%). However, after applying linear calibration, these variations were reduced to within \u00b10.2%, with strong inter-scanner correlation maintained (Pearson\u2019s r\u2009>\u20090.97).<\/jats:p>\n<\/jats:sec>\n\nConclusion<\/jats:title>\nMagDensity showed strong intra-vendor consistency and promising cross-platform reliability after leave-one-out calibration. While full standardization remains a long-term goal, these findings provide clear evidence that scanner-related variability can be effectively mitigated through calibration. This technique offers a step further toward more consistent MRI-based BD quantification and may help enable broader clinical implementation.<\/jats:p>\n<\/jats:sec>","DOI":"10.1371\/journal.pone.0316076","type":"journal-article","created":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T17:29:44Z","timestamp":1750786184000},"page":"e0316076","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Cross-field strength and multi-vendor reliability of MagDensity for MRI-based quantitative breast density 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