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Grades of PF were distributed as follows: F0, 82; F1, 22; F2, 22; and F3, 18.<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>3\u2009T pancreatic MRI, encompassing MRE, T1 mapping, and IVIM\u2010DWI.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>In all patients, T1 relaxation times, pancreatic stiffness values, IVIM\u2010DWI parameters, MPD diameter, and pancreatic thickness were measured.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>Receiver operating characteristic (ROC) analysis served to assess imaging parameters useful in diagnosing PF. To identify relations between specific parameters and grades of PF, logistic regression analysis was invoked.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Both pancreatic stiffness (<jats:italic>r<\/jats:italic>\u00a0=\u00a00.754; <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001) and T1 relaxation time (<jats:italic>r<\/jats:italic>\u00a0=\u00a00.433; <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001) correlated significantly with PF (%). To determine PF grades \u2265F1, a combined model (area under the curve [AUC]\u00a0=\u00a00.906) performed significantly better than pancreatic stiffness (AUC\u00a0=\u00a00.855; <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001) or T1 relaxation time (AUC\u00a0=\u00a00.754; <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001) alone. For PF grades \u2265F2 or grade F3, both the combined model (\u2265F2: AUC\u00a0=\u00a00.910; F3: AUC\u00a0=\u00a00.939) and pancreatic stiffness (\u2265F2: AUC\u00a0=\u00a00.906; F3: AUC\u00a0=\u00a00.929) outperformed T1 relaxation time (\u2265F2: AUC\u00a0=\u00a00.768 [<jats:italic>P<\/jats:italic>\u00a0=\u00a00.005 and <jats:italic>P<\/jats:italic>\u00a0=\u00a00.004, respectively]; F3: AUC\u00a0=\u00a00.816 [both <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.005]). All IVIM\u2010DWI parameters generated AUC values &lt;0.700.<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>A combination of MRE and T1 mapping seems promising in diagnosing various grades of PF, particularly at an early stage.<\/jats:p><\/jats:sec><jats:sec><jats:title>Level of Evidence<\/jats:title><jats:p>1<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy<\/jats:title><jats:p>Stage 2<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.27626","type":"journal-article","created":{"date-parts":[[2021,4,5]],"date-time":"2021-04-05T16:09:06Z","timestamp":1617638946000},"page":"1417-1429","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Evaluation of Pancreatic Fibrosis Grading by Multiparametric Quantitative Magnetic Resonance 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