{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T15:22:55Z","timestamp":1747149775173,"version":"3.40.5"},"reference-count":40,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2020,4,4]],"date-time":"2020-04-04T00:00:00Z","timestamp":1585958400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61671228","61728107","61971214","81601564","81871349"],"award-info":[{"award-number":["61671228","61728107","61971214","81601564","81871349"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2020,10]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Non\u2010Gaussian diffusion models and T<jats:sub>1<\/jats:sub>rho quantification may reflect the changes in tissue heterogeneity in hepatic sinusoidal obstruction syndrome (SOS).<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To investigate the feasibility of diffusion kurtosis imaging (DKI), stretched exponential model (SEM), and T<jats:sub>1<\/jats:sub>rho quantification in detecting and staging SOS in a monocrotaline (MCT)\u2010induced rat model.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Animal study.<\/jats:p><\/jats:sec><jats:sec><jats:title>Population<\/jats:title><jats:p>Thirty male Sprague\u2013Dawley rats gavaged with MCT to induce hepatic SOS and six male rats without any intervention.<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>3.0T, DWI with five <jats:italic>b<\/jats:italic>\u2010values (0\u20132000\u2009s\/mm<jats:sup>2<\/jats:sup>) and T<jats:sub>1<\/jats:sub>rho with five spin lock times (1\u201360 msec).<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>MRI was performed 1\u2009day before and 1, 3, 5, 7, and 10\u2009days after MCT administration. The corrected apparent diffusion coefficient (D<jats:sub>app<\/jats:sub>), kurtosis coefficient (K<jats:sub>app<\/jats:sub>), distributed diffusion coefficient (DDC), and intravoxel water molecular diffusion heterogeneity (\u03b1) were calculated from the corresponding non\u2010Gaussian diffusion model. The T<jats:sub>1<\/jats:sub>rho value was calculated using a monoexponential model. Specimens obtained from the six timepoints were categorized into normal liver (<jats:italic>n =<\/jats:italic> 6), early\u2010stage (<jats:italic>n =<\/jats:italic> 16), and late\u2010stage (<jats:italic>n =<\/jats:italic> 14) SOS in accordance with the pathological score.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>Parametric statistical methods and receiver operating characteristic (ROC) curves were employed to determine diagnostic accuracy.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The D<jats:sub>app<\/jats:sub>, K<jats:sub>app<\/jats:sub>, DDC, \u03b1, and T<jats:sub>1<\/jats:sub>rho values were correlated with pathological score with <jats:italic>r<\/jats:italic> values of \u22120.821, 0.726, \u22120.828, \u22120.739, and 0.714 (all <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001), respectively. DKI (combined D<jats:sub>app<\/jats:sub> and K<jats:sub>app<\/jats:sub>) and SEM (combined DDC and \u03b1) were better than T<jats:sub>1<\/jats:sub>rho for staging SOS. The areas under the ROC curve of DKI, SEM, and T<jats:sub>1<\/jats:sub>rho for differentiating normal liver and early\u2010stage SOS were 0.97, 1.00, and 0.79, whereas those of DKI, SEM, and T<jats:sub>1<\/jats:sub>rho for differentiating early\u2010stage and late\u2010stage SOS were 1.00, 0.97, and 0.92, respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>DKI, SEM, and T<jats:sub>1<\/jats:sub>rho may be helpful in staging SOS.<\/jats:p><\/jats:sec><jats:sec><jats:title>Level of Evidence<\/jats:title><jats:p>2<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy Stage<\/jats:title><jats:p>2 J. Magn. Reson. Imaging 2020;52:1110\u20131121.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.27156","type":"journal-article","created":{"date-parts":[[2020,4,4]],"date-time":"2020-04-04T13:57:19Z","timestamp":1586008639000},"page":"1110-1121","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["<scp>Non\u2010Gaussian<\/scp> Diffusion Models and T<sub>1<\/sub>rho Quantification in the Assessment of Hepatic Sinusoidal Obstruction Syndrome in Rats"],"prefix":"10.1002","volume":"52","author":[{"given":"Jian","family":"Lyu","sequence":"first","affiliation":[{"name":"School of Biomedical Engineering Southern Medical University  Guangzhou Guangdong China"},{"name":"Guangdong Provincial Key Laboratory of Medical Image Processing Southern Medical University  Guangzhou Guangdong China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guixiang","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Medical 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