{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T20:54:14Z","timestamp":1773521654227,"version":"3.50.1"},"reference-count":30,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2021,3,21]],"date-time":"2021-03-21T00:00:00Z","timestamp":1616284800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2021,9]]},"abstract":"Background<\/jats:title>Intravoxel incoherent motion (IVIM) can provide quantitative information about water diffusion and perfusion that can be used to evaluate hepatic injury, but it has not been studied in hepatic injury induced by intestinal ischemia\u2013reperfusion (IIR). Dynamic contrast\u2010enhanced (DCE) magnetic resonance imaging (MRI) can provide perfusion data, but it is unclear whether it can provide useful information for assessing hepatic injury induced by IIR.<\/jats:p><\/jats:sec>Purpose<\/jats:title>To examine whether IVIM and DCE\u2010MRI can detect early IIR\u2010induced hepatic changes, and to evaluate the relationship between IVIM and DCE\u2010derived parameters and biochemical indicators and histological scores.<\/jats:p><\/jats:sec>Study Type<\/jats:title>Prospective pre\u2010clinical study.<\/jats:p><\/jats:sec>Population<\/jats:title>Forty\u2010two male Sprague\u2013Dawley rats.<\/jats:p><\/jats:sec>Field Strength\/Sequence<\/jats:title>IVIM\u2010diffusion\u2010weighted imaging (DWI) using diffusion\u2010weighted echo\u2010planar imaging sequence and DCE\u2010MRI using fast spoiled gradient recalled\u2010based sequence at 3.0\u2009T.<\/jats:p><\/jats:sec>Assessment<\/jats:title>All rats were randomly divided into the control group (Sham), the simple ischemia group, the ischemia\u2013reperfusion (IR) group (IR1h, IR2h, IR3h, and IR4h) in a model of secondary hepatic injury caused by IIR, and IIR was induced by clamping the superior mesenteric artery for 60\u2009minutes and then removing the vascular clamp. Advanced Workstation (AW) 4.6 was used to calculate the imaging parameters (apparent diffusion coefficient [ADC], true diffusion coefficient [D<\/jats:italic>], perfusion\u2010related diffusion [D<\/jats:italic>*<\/jats:sup>] and volume fraction [f<\/jats:italic>]) of IVIM. OmniKinetics (OK) software was used to calculate the DCE imaging parameters (K<\/jats:italic>trans<\/jats:sup>, K<\/jats:italic>ep<\/jats:sub>, and V<\/jats:italic>e<\/jats:sub>). Alanine aminotransferase (ALT) and aspartate aminotransferase (AST) were analyzed with an automatic biochemical analyzer. Superoxide dismutase (SOD) activity was assessed using the nitro\u2010blue tetrazolium method. Malondialdehyde (MDA) was determined by thiobarbituric acid colorimetry. Histopathology was performed with hematoxylin and eosin staining.<\/jats:p><\/jats:sec>Statistical Tests<\/jats:title>One\u2010way analysis of variance (ANOVA) and Bonferroni post\u2010hoc tests were used to analyze the imaging parameters and biochemical indicators among the different groups. Pearson correlation analysis was applied to determine the correlation between imaging parameters and biochemical indicators or histological score.<\/jats:p><\/jats:sec>Results<\/jats:title>ALT and MDA reached peak levels at IR4h, while SOD reached the minimum level at IR4h (all P<\/jats:italic>\u2009<\u20090.05). ADC, D<\/jats:italic>, D<\/jats:italic>*<\/jats:sup>, and f<\/jats:italic> gradually decreased as reperfusion continued, and K<\/jats:italic>trans<\/jats:sup> and V<\/jats:italic>e<\/jats:sub> gradually increased (all P<\/jats:italic>\u2009<\u20090.05). The degrees of change for f<\/jats:italic> and V<\/jats:italic>e<\/jats:sub> were greater than those of other imaging parameters at IR1h (all P<\/jats:italic>\u2009<\u20090.05). All groups showed good correlation between imaging parameters and SOD and MDA (r<\/jats:italic>[ADC]\u00a0=\u00a00.615, \u22120.666, r<\/jats:italic>[D<\/jats:italic>]\u00a0=\u00a00.493, \u22120.612, r<\/jats:italic>[D<\/jats:italic>*<\/jats:sup>]\u00a0=\u00a00.607, \u22120.647, r<\/jats:italic>[f<\/jats:italic>]\u00a0=\u00a00.637, \u22120.682, r<\/jats:italic>[K<\/jats:italic>trans<\/jats:sup>]\u00a0=\u00a0\u22120.522, 0.500, r<\/jats:italic>[V<\/jats:italic>e<\/jats:sub>]\u00a0=\u00a0\u22120.590, 0.665, respectively; all P<\/jats:italic>\u2009<\u20090.05). However, the IR groups showed poor or no correlation between the imaging parameters and SOD and MDA (P<\/jats:italic> [K<\/jats:italic>trans<\/jats:sup> and MDA]\u00a0=\u00a00.050, P<\/jats:italic> [D<\/jats:italic> and SOD]\u00a0=\u00a00.125, P<\/jats:italic> [the remaining imaging parameters]\u2009<\u20090.05). All groups showed a positive correlation between histological score and K<\/jats:italic>trans<\/jats:sup> and V<\/jats:italic>e<\/jats:sub> (r<\/jats:italic>\u00a0=\u20090.775, 0.874, all P<\/jats:italic>\u00a0<\u20090.05), and a negative correlation between histological score and ADC, D<\/jats:italic>, f<\/jats:italic>, and D<\/jats:italic>*<\/jats:sup> (r<\/jats:italic>\u00a0=\u2009\u22120.739, \u22120.821, \u22120.868, \u22120.841, respectively; all P<\/jats:italic>\u00a0<\u20090.05). For the IR groups, there was a positive correlation between histological score and K<\/jats:italic>trans<\/jats:sup> and V<\/jats:italic>e<\/jats:sub> (r<\/jats:italic>\u00a0=\u20090.747, 0.802, all P<\/jats:italic>\u00a0<\u20090.05), and a negative correlation between histological score and ADC, D<\/jats:italic>, f<\/jats:italic>, and D<\/jats:italic>*<\/jats:sup> (r<\/jats:italic>\u00a0=\u2009\u22120.567, \u22120.712, \u22120.715, \u22120.779, respectively; all P<\/jats:italic>\u00a0<\u20090.05).<\/jats:p><\/jats:sec>Data Conclusion<\/jats:title>The combined application of IVIM and DCE\u2010MRI has the potential to be used as an imaging tool for monitoring IIR\u2010induced hepatic histopathology.<\/jats:p><\/jats:sec>Level of Evidence<\/jats:title>1<\/jats:p><\/jats:sec>Technical Efficacy Stage<\/jats:title>2<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.27604","type":"journal-article","created":{"date-parts":[[2021,3,22]],"date-time":"2021-03-22T04:29:35Z","timestamp":1616387375000},"page":"751-760","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Intravoxel Incoherent Motion and Dynamic Contrast\u2010Enhanced Magnetic Resonance Imaging to Early Detect Tissue Injury and Microcirculation Alteration in Hepatic Injury Induced by Intestinal Ischemia\u2013Reperfusion in a Rat Model"],"prefix":"10.1002","volume":"54","author":[{"given":"Jiaxing","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Radiology Changzhou Second People's Hospital Changzhou China"},{"name":"Graduate College Dalian Medical University Dalian China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingzhu","family":"Meng","sequence":"additional","affiliation":[{"name":"Department of Radiology 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