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PDFF of the liver is commonly measured using 3\u00a0T MRI systems. However, low-field systems are increasingly favored due to lower cost, improved safety profile, minimized artifacts around metallic implants, and enhanced patient comfort.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>In this pilot study, we used knowledge of standardized and widely used 3\u00a0T liver PDFF protocols, and adapted parameters to be appropriate for the 0.55\u00a0T MRI. We evaluate a liver fat quantification protocol at 0.55\u00a0T compared to a standard clinical 3\u00a0T protocol to measure liver fat in patients with MASLD.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Material and methods<\/jats:title>\n                    <jats:p>Eight adult patients (average age 53.6\u2009\u00b1\u200913.6\u00a0years, 5 females) with\u2009\u2265\u20095% PDFF on 3\u00a0T MRI underwent a 0.55\u00a0T MRI PDFF protocol within 90\u00a0days. To keep the acquisition time to be within a reasonable breath hold duration and with reasonable signal-to-noise ratio (SNR), four echoes were acquired at a lower resolution and fewer number of slices at 0.55\u00a0T compared to 3\u00a0T which uses a 6-echo multi-echo Dixon volumetric interpolated breath hold examination (VIBE) protocol. PDFF quantification accuracy of the 0.55\u00a0T approach was evaluated using a commercial PDFF phantom and in vivo.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      In the phantom, there was excellent match (\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>\n                        <jats:italic>2<\/jats:italic>\n                      <\/jats:sup>\n                      \u2009&gt;\u20090.999) between PDFF estimated by 0.55\u00a0T MRI and ground truth. Mean in vivo 3\u00a0T MRI-PDFF was 16.5%, compared to 16.3% 0.55\u00a0T MRI-PDFF (correlation coefficient\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.99). The Bland\u2013Altman analysis showed good agreement of in vivo PDFF measurements across 0.55\u00a0T and 3\u00a0T estimating a bias or mean difference of \u2212\u00a00.25% and the limits of agreements (LoA) of \u2212\u00a03.98% and 3.48%.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>Our data demonstrate that 0.55\u00a0T MRI is feasible and comparable to 3\u00a0T MRI in quantifying liver PDFF among patients with MASLD.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s10334-025-01277-9","type":"journal-article","created":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T14:48:41Z","timestamp":1752590921000},"page":"949-957","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["In-vivo liver proton density fat fraction quantification at 0.55\u00a0T: a pilot study with comparison against 3\u00a0T MRI"],"prefix":"10.1007","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3326-3360","authenticated-orcid":false,"given":"Rochelle E.","family":"Wong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bilal","family":"Tasdelen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ye","family":"Tian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Darryl","family":"Hwang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sophia X.","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liyun","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Krishna S.","family":"Nayak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,15]]},"reference":[{"key":"1277_CR1","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1002\/hep.28431","volume":"64","author":"ZM Younossi","year":"2016","unstructured":"Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M (2016) Global epidemiology of nonalcoholic fatty liver disease-meta-analytic assessment of prevalence, incidence, and outcomes. 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