{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T04:14:42Z","timestamp":1772165682964,"version":"3.50.1"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2020,7,2]],"date-time":"2020-07-02T00:00:00Z","timestamp":1593648000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2020,7,2]],"date-time":"2020-07-02T00:00:00Z","timestamp":1593648000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Luzhou-Southwest Medical University Tripartite Project","award":["2015SX-0037"],"award-info":[{"award-number":["2015SX-0037"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Imaging"],"published-print":{"date-parts":[[2020,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Diffusion tensor imaging (DTI) is mainly used for detecting white matter fiber in the brain. DTI was applied to assess fiber in liver disorders in previous studies. However, the data obtained have been insufficient in determining if DTI can be used to exactly stage chronic hepatitis. This study assessed the value of DTI for staging of liver fibrosis (F), necroinflammatory activity (A) and steatosis (S) with chronic hepatitis in rats.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Seventy male Sprague-Dawley rats were divided into a control group(\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200910) and an experimental group(\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200960). The rat models of chronic hepatitis were established by abdominal subcutaneous injections of 40% CCl\n                      <jats:sub>4<\/jats:sub>\n                      . All of the rats underwent 3.0\u2009T MRI. Regions of interest (ROIs) were subjected to DTI to estimate the MR parameters (rADC value and FA value). Histopathology was used as the reference standard. Multiple linear regression was used to analyze the associations between the MR parameters and pathology. The differences in the MR parameters among the pathological stages were evaluated by MANOVA or ANOVA. The LSD test was used to test for differences between each pair of groups. ROC analysis was also performed.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The count of each pathology was as follows: F0(\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200915), F1(\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200911), F2(\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20096), F3(\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20099), F4(n\u2009=\u20096); A0(\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20098), A1(\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200916), A2(n\u2009=\u200916), A3(\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20097); S0(\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200910), S1(n\u2009=\u20097), S2(\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20093), S3(n\u2009=\u200911), S4(n\u2009=\u200916). The rADC value had a negative correlation with liver fibrosis (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u2009\u2212\u20090.392,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.008) and inflammation (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u2009\u2212\u20090.359,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.015). The FA value had a positive correlation with fibrosis (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.409,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.005). Significant differences were found in the FA values between F4 and F0\u2009~\u2009F3 (\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.03), while no significant differences among F0\u2009~\u2009F3 were found (\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&gt;\u20090.05). The AUC of the FA value differentiating F4 from F0\u2009~\u2009F3 was 0.909 (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001) with an 83.3% sensitivity and an 85.4% specificity when the FA value was at the cut-off of 588.089 (\u00d7\u200910\n                      <jats:sup>\u2212\u20096<\/jats:sup>\n                      \u2009mm\n                      <jats:sup>2<\/jats:sup>\n                      \/s).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The FA value for DTI can distinguish early cirrhosis from normal, mild and moderate liver fibrosis, but the rADC value lacked the ability to differentiate among the fibrotic grades. Both the FA and rADC values were unable to discriminate the stages of necroinflammatory activity and steatosis.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12880-020-00466-3","type":"journal-article","created":{"date-parts":[[2020,7,2]],"date-time":"2020-07-02T09:40:52Z","timestamp":1593682852000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Diffusion tensor imaging quantifying the severity of chronic hepatitis in rats"],"prefix":"10.1186","volume":"20","author":[{"given":"Mengping","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaofeng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7386-7217","authenticated-orcid":false,"given":"Jian","family":"Shu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,2]]},"reference":[{"issue":"5","key":"466_CR1","doi-asserted-by":"publisher","first-page":"580","DOI":"10.3904\/kjim.2015.30.5.580","volume":"30","author":"YW Eom","year":"2015","unstructured":"Eom YW, Shim KY, Baik SK. 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