Literature DB >> 35111599

Use of the volume-averaged Murray's deviation method for the characterization of branching geometry in liver fibrosis: a preliminary study on vascular circulation.

Wenjuan Lv1, Jianbo Jian2, Jingyi Liu1, Xinyan Zhao3,4, Xiaohong Xin1, Chunhong Hu1.   

Abstract

BACKGROUND: Vascular changes in liver fibrosis can result in increased intrahepatic vascular resistance and impaired blood circulation. This can hinder the recovery from fibrosis and may eventually lead to portal hypertension, a major cirrhosis complication. This report proposed a volume-averaged Murray's deviation method to characterize intrahepatic circulation in the liver during fibrosis and its subsequent regression via X-ray phase-contrast computed tomography (PCCT).
METHODS: Liver fibrosis was induced in 24 Sprague-Dawley rats by exposure to carbon tetrachloride (CCl4) for up to 10 weeks, after which, spontaneous regression commenced and continued until week 30. High-resolution three-dimensional (3D) imaging of the livers was performed with PCCT. The values of Murray's deviation based on the volume-averaged and the conventional diameter-based methods were compared. After that, the intrahepatic circulation at different stages of fibrosis was evaluated using the volume-averaged method. The increase in collagen during liver fibrosis was assessed by pathological analyses.
RESULTS: A comparison of the 2 methods showed that with an increase in the number of diameter measurements, the value of Murrary's deviation obtained using the diameter-based method gradually approaches those of the volume-averaged method, with minimal variations. The value of Murray's deviation increased with the development of fibrosis. After reversal, the value rapidly decreased and approached that of the normal state in both the main branches (1.05±0.17, 1.17±0.21, 1.34±0.18, and 1.17±0.19 in the normal, moderate, severe, and regressive groups, respectively; P<0.05 between the severe group and other groups) and the small branches (1.05±0.09, 1.42±0.48, 1.79±0.57, and 1.18±0.28 in the normal, moderate, severe, and regressive group, respectively; P<0.05 between adjacent groups). An analysis of Murray's deviation and the pathological results showed that the vascular circulation in this disease model was consistent with the progression and recovery from fibrosis.
CONCLUSIONS: This study showed the validity of the volume-averaged method for calculating Murray's deviation and demonstrated that it could accurately evaluate the blood circulation state of the liver during fibrosis and its subsequent regression. Thus, the volume-averaged method of calculating Murray's deviation may be an objective and valuable staging criterion to evaluate intrahepatic circulation during liver fibrosis. 2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Entities:  

Keywords:  Liver fibrosis; Murray’s deviation; X-ray phase contrast computed tomography; intrahepatic circulation; vascular volume

Year:  2022        PMID: 35111599      PMCID: PMC8739118          DOI: 10.21037/qims-21-47

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  41 in total

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Authors:  Wen-Juan Lv; Xin-Yan Zhao; Dou-Dou Hu; Xiao-Hong Xin; Li-Li Qin; Chun-Hong Hu
Journal:  Radiology       Date:  2021-04-20       Impact factor: 11.105

2.  Comparison of vessel geometry in bifurcation between normal and diseased segments: intravascular ultrasound analysis.

Authors:  Joo-Yong Hahn; Hyeon-Cheol Gwon; Sung Uk Kwon; Seung-Hyuk Choi; Jin-Ho Choi; Sang Hoon Lee; Kyung-Pyo Hong; Jeong Euy Park; Duk Kyung Kim
Journal:  Atherosclerosis       Date:  2008-02-29       Impact factor: 5.162

3.  Relating function to branching geometry: a micro-CT study of the hepatic artery, portal vein, and biliary tree.

Authors:  Timothy L Kline; Mair Zamir; Erik L Ritman
Journal:  Cells Tissues Organs       Date:  2011-04-13       Impact factor: 2.481

4.  Does the principle of minimum work apply at the carotid bifurcation: a retrospective cohort study.

Authors:  Richard J Beare; Gita Das; Mandy Ren; Winston Chong; Matthew D Sinnott; James E Hilton; Velandai Srikanth; Thanh G Phan
Journal:  BMC Med Imaging       Date:  2011-08-24       Impact factor: 1.930

5.  Morphological signs of cirrhosis regression. Experimental observations on carbon tetrachloride-induced liver cirrhosis of rats.

Authors:  Igor Di Vinicius; Ana Paula Baptista; Aryon A Júnior Barbosa; Zilton A Andrade
Journal:  Pathol Res Pract       Date:  2005       Impact factor: 3.250

6.  Abnormalities of retinal microvascular structure and risk of mortality from ischemic heart disease and stroke.

Authors:  Nicholas Witt; Tien Y Wong; Alun D Hughes; Nish Chaturvedi; Barbara E Klein; Richard Evans; Mary McNamara; Simon A McG Thom; Ronald Klein
Journal:  Hypertension       Date:  2006-04-03       Impact factor: 10.190

7.  Computer-assisted image analysis of liver collagen: relationship to Ishak scoring and hepatic venous pressure gradient.

Authors:  Vincenza Calvaruso; Andrew Kenneth Burroughs; Richard Standish; Pinelopi Manousou; Federica Grillo; Gioacchino Leandro; Sergio Maimone; Maria Pleguezuelo; Ilias Xirouchakis; Gian Piero Guerrini; David Patch; Dominic Yu; James O'Beirne; Amar Paul Dhillon
Journal:  Hepatology       Date:  2009-04       Impact factor: 17.425

Review 8.  Angiogenesis in liver disease.

Authors:  Mercedes Fernández; David Semela; Jordi Bruix; Isabelle Colle; Massimo Pinzani; Jaume Bosch
Journal:  J Hepatol       Date:  2008-12-31       Impact factor: 25.083

9.  CCL2-dependent infiltrating macrophages promote angiogenesis in progressive liver fibrosis.

Authors:  Josef Ehling; Matthias Bartneck; Xiao Wei; Felix Gremse; Viktor Fech; Diana Möckel; Christer Baeck; Kanishka Hittatiya; Dirk Eulberg; Tom Luedde; Fabian Kiessling; Christian Trautwein; Twan Lammers; Frank Tacke
Journal:  Gut       Date:  2014-02-21       Impact factor: 23.059

10.  Vascular branching geometry relating to portal hypertension: a study of liver microvasculature in cirrhotic rats by X-ray phase-contrast computed tomography.

Authors:  Mengyu Sun; Wenjuan Lv; Xinyan Zhao; Lili Qin; Yuqing Zhao; Xiaohong Xin; Jianbo Jian; Xiaodong Chen; Chunhong Hu
Journal:  Quant Imaging Med Surg       Date:  2020-01
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