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MRE-based liver stiffness was used as the reference to assess the diagnostic performance of the MRI-derived mapping parameters. MR-elastography-based liver stiffness thresholds for significant fibrosis (\u2265\u2009F2) were set at &gt;\u20093.66\u2009kPa for participants without hepatic steatosis (PDFF\u2009\u2264\u20095%), and &gt;\u20093.14\u2009kPa for participants with hepatic steatosis (PDFF\u2009&gt;\u20095%). The\n                      <jats:italic>t<\/jats:italic>\n                      -test, Spearman\u2019s correlation, and the ROC analysis were applied.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      One hundred twelve CLD participants were included (mean age, 48\u2009\u00b1\u200916 years\n                      <jats:italic>;<\/jats:italic>\n                      53 participants with hepatic steatosis). All assessed quantitative mapping parameters were significantly increased in participants with significant fibrosis than in those without (e.g., T1\u03c1: 110\u2009\u00b1\u200915 vs 92\u2009\u00b1\u20096\u2009ms,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001). T1\u03c1 revealed a moderate to strong correlation with MR-elastography-based stiffness, superior to T1 and ECV (entire cohort:\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.75 [T1\u03c1] vs 0.49 [native T1] vs 0.68 [ECV]; participants with hepatic steatosis:\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.67 [T1\u03c1] vs 0.32 [native T1] vs 0.62 [ECV];\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05 in each case, respectively). T1\u03c1 provided the highest diagnostic performance for diagnosing significant fibrosis (in the entire cohort: AUC 0.90 [T1\u03c1] vs 0.73,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001 [native T1], vs 0.81,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.05 [ECV]; in participants with hepatic steatosis: AUC 0.87 [T1\u03c1] vs 0.67,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.03 [native T1], vs 0.79,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.047 [ECV],\n                      <jats:italic>p<\/jats:italic>\n                      values are given vs T1\u03c1).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Hepatic T1\u03c1 might be a more accurate marker of hepatic fibrosis in CLD, including SLD, compared to hepatic native T1 and ECV mapping.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Key Points<\/jats:title>\n                    <jats:p>\n                      <jats:bold>\n                        <jats:italic>Question<\/jats:italic>\n                      <\/jats:bold>\n                      <jats:italic>Accurate non-invasive assessment of hepatic fibrosis remains challenging, particularly in the presence of steatosis, where MRI biomarkers such as native T1 and ECV fraction are limited<\/jats:italic>\n                      .\n                    <\/jats:p>\n                    <jats:p>\n                      <jats:bold>\n                        <jats:italic>Findings<\/jats:italic>\n                      <\/jats:bold>\n                      <jats:italic>T1\u03c1 mapping outperformed native T1 and ECV for identifying significant fibrosis and maintained robust accuracy in the presence of hepatic steatosis<\/jats:italic>\n                      .\n                    <\/jats:p>\n                    <jats:p>\n                      <jats:bold>\n                        <jats:italic>Clinical relevance<\/jats:italic>\n                      <\/jats:bold>\n                      <jats:italic>T1\u03c1 mapping offers a robust, non-invasive MRI biomarker for assessing hepatic fibrosis across the full spectrum of CLD, including SLD, with superior accuracy to native T1 and ECV and reduced influence from hepatic fat infiltration<\/jats:italic>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Graphical Abstract<\/jats:title>\n                  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The remaining authors declare no conflicts of interest related to this study.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"One of the authors has significant statistical expertise.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Statistics and biometry"}},{"value":"Only if the study is on human subjects: written informed consent was obtained from all subjects (patients) in this study.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"Institutional Review Board approval was obtained (no. 155\/23-EP).","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"A subset of patients (\n                      n\n                      \u2009=\u200927\/112) included in the present study was also part of a recently published cohort (\n                      \n                      ). This overlap is due to partially joint recruitment during a partially overlapping study period. However, this had no impact on the current study results, as the previous study focused on the evaluation of a newly developed Dixon-based water T1 mapping sequence for fat corrected assessment of hepatic fibrosis. The present study represents the clinical translation of earlier preclinical work in animal models of SLD (\n                      \n                      ), which investigated the diagnostic value of T1\u03c1 mapping for assessing liver fibrosis in CLD, including SLD.","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Study subjects or cohorts overlap"}},{"order":8,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}