Hepatic perfusion changes in an experimental model of acute pancreatitis: Evaluation by perfusion CT

Tutcu, Semra; Serter, Selim; Kaya, Yavuz; Kara, Eray; Neşe, Nalan; Pekindil, Gökhan; Coşkun, Teoman

doi:10.1016/j.ejrad.2009.04.072

Cited by 8 publications

(10 citation statements)

References 19 publications

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“…It has been widely used in many organs, such as the brain, breast, hepatic, pancreatic, gastric and rectal lesions (14)(15)(16)(35)(36)(37). AP could cause (38), it had been found that there were some pathological changes in splenic tissue under the microscopy in severe AP (5).…”

Section: Discussionmentioning

confidence: 99%

“…To our best knowledge, this is the first study which evaluates the splenic changes in AP by using IVIM, there is no data of those parameters. Tutcua et al (38) has found that AP causes significant perfusion changes in the hepatic tissue and a significant increase in blood volume in the lobes of liver and that the perfusion changes might depend on the local inflammation process and the effect of systemic mediators. As their study mentioned, in AP, the local inflammation might also spread to the spleen through the splenorenal ligament and finally along the splenic red pulp, the local inflammation and the effect of systemic mediators in AP might be also related to the perfusion changes in the splenic tissue.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Spleen and splenic vascular involvement in acute pancreatitis: an MRI study

Xie¹,

Zhang²,

Chen³

et al. 2018

Quant. Imaging Med. Surg.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Spleen and splenic vascular involvement in acute pancreatitis: an MRI study

Xie¹,

Zhang²,

Chen³

et al. 2018

Quant. Imaging Med. Surg.

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“…The left part of the liver, corresponding to segment 2, showed a different perfusion rate than the right part of the liver. In an experimental study on rats using perfusion CT, the relative blood flow in the left lobe was 17% higher than in the right lobe of the liver [42]. We suspect that these regional variations in the density of small blood vessels and capillaries caused the heterogeneous appearance of microperfusion throughout the liver.…”

Section: Discussionmentioning

confidence: 99%

Effects of microperfusion in hepatic diffusion weighted imaging

et al. 2011

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ObjectiveClinical hepatic diffusion weighted imaging (DWI) generally relies on mono-exponential diffusion. The aim was to demonstrate that mono-exponential diffusion in the liver is contaminated by microperfusion and that the bi-exponential model is required.MethodsNineteen fasting healthy volunteers were examined with DWI (seven b-values) using fat suppression and respiratory triggering (1.5 T). Five different regions in the liver were analysed regarding the mono-exponentially fitted apparent diffusion coefficient (ADC), and the bi-exponential model: molecular diffusion (Dslow), microperfusion (Dfast) and the respective fractions (fslow/fast). Data were compared using ANOVA and Kruskal–Wallis tests. Simulations were performed by repeating our data analyses, using just the DWI series acquired with b-values approximating those of previous studies.ResultsMedian mono-exponentially fitted ADCs varied significantly (P < 0.001) between 1.107 and 1.423 × 10−3 mm2/s for the five regions. Bi-exponential fitted Dslow varied between 0.923 and 1.062 × 10−3 mm2/s without significant differences (P = 0.140). Dfast varied significantly, between 17.8 and 46.8 × 10−3 mm2/s (P < 0.001). F-tests showed that the diffusion data fitted the bi-exponential model significantly better than the mono-exponential model (F > 21.4, P < 0.010). These results were confirmed by the simulations.ConclusionADCs of normal liver tissue are significantly dependent on the measurement location because of substantial microperfusion contamination; therefore the bi-exponential model should be used.Key PointsDiffusion weighted MR imaging helps clinicians to differentiate tumours by diffusion propertiesFast moving water molecules experience microperfusion, slow molecules diffusionHepatic diffusion should be measured by bi-exponential models to avoid microperfusion contaminationMono-exponential models are contaminated with microperfusion, resulting in apparent regional diffusion differencesBi-exponential models are necessary to measure diffusion and microperfusion in the liver

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“…It is well accepted that liver cirrhosis is associated with reduced liver perfusion, particularly with reduced portal flow [19–21]. In an experimental study on rats using perfusion computed tomography (CT), the relative blood flow in the left lobe was 17% higher than in the right lobe of the liver [22]. This is also supported by Su et al [23] in a study of hepatic perfusion by dual-source CT.…”

Section: Discussionmentioning

confidence: 83%

Intravoxel Incoherent Motion (IVIM) Diffusion-Weighted Imaging (DWI) in Patients with Liver Dysfunction of Chronic Viral Hepatitis: Segmental Heterogeneity and Relationship with Child-Turcotte-Pugh Class at 3 Tesla

Ding

Xiao²,

Lin³

et al. 2018

Gastroenterology Research and Practice

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Background Few studies focused on the region of interest- (ROI-) related heterogeneity of liver intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI). The aim of the study was to evaluate the differences of liver IVIM parameters among liver segments in cirrhotic livers (chronic viral hepatitis). Material and Methods This was a retrospective study of 82 consecutive patients with chronic liver disease who underwent MRI examination at the Jinan Infectious Diseases Hospital between January 2015 and December 2016. IVIM DWI (seven different b values) was performed on a Siemens 3.0-T MRI scanner. Pure molecular diffusion (D), pseudodiffusion (D∗), and perfusion fraction (f) in different liver segments were evaluated. Results f, D, and D∗ were different among the liver segments (all p < 0.05), indicating heterogeneity in IVIM parameters among liver segments. f was consistently higher in Child-Turcotte-Pugh (CTP) class A compared with CTP class B + C (p < 0.01). D and D∗ were higher in CTP class A compared with CTP class B + C (p < 0.05). In patients with mean f value of >0.29, the AUC was 0.88 (95% CI: 0.81-0.96), with 86.8% sensitivity and 81.8% specificity for predicting CTP class A from CTP class B + C. Conclusion Liver IVIM could be a promising method for classifying the severity of segmental liver dysfunction of chronic viral hepatitis as evaluated by the CTP class, which provides a noninvasive alternative for evaluating segmental liver dysfunction with accurate selection of ROIs. Potentially it can be used to monitor the progression of CLD and LC in the future.

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Hepatic perfusion changes in an experimental model of acute pancreatitis: Evaluation by perfusion CT

Cited by 8 publications

References 19 publications

Spleen and splenic vascular involvement in acute pancreatitis: an MRI study

Spleen and splenic vascular involvement in acute pancreatitis: an MRI study

Effects of microperfusion in hepatic diffusion weighted imaging

Intravoxel Incoherent Motion (IVIM) Diffusion-Weighted Imaging (DWI) in Patients with Liver Dysfunction of Chronic Viral Hepatitis: Segmental Heterogeneity and Relationship with Child-Turcotte-Pugh Class at 3 Tesla

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