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Observation on Microvascular Change of Bile Duct Ligation-induced Liver Fibrosis by X-ray Phase-contrast Computed Tomography / 中国医学影像学杂志
Chinese Journal of Medical Imaging ; (12): 165-168,173, 2017.
Article en Zh | WPRIM | ID: wpr-614604
Biblioteca responsable: WPRO
ABSTRACT
Purpose Liver fibrosis is the common pathological process of cirrhosis developed by chronic liver disease.This study aims to explore the application of microvascular change in assessing the liver fibrosis induced by bile duct ligation based on X-ray phasecontrast computed tomography (PCCT).Materials and Methods Ten rats were equally divided into the group of bile duct ligation-induced liver fibrosis and the control group at random.Then ten excised liver tissues were imaged at beamline BL13W1 of Shanghai Synchrotron Radiation Facility in China.After the imaging studies,the liver samples were stained with Sirius red and immunostained with antibodies against cytokeratin 19 (CK19).The microvasculature in livers was reconstructed via PCCT,and the correlation analysis on microvascular density and the proportion of fibrosis area was performed.Results The microvasculature including blood vessels,dilated bile ducts and ductular proliferation were clearly revealed by PCCT technology.Moreover,the 3D microvascular density and proportion of fibrosis area in the liver fibrosis group increased significantly compared with those in the control group (P<0.01),and the correlation between them was obvious (r=0.812,P<0.01).Conclusion Microvascular 3D characteristics of liver fibrosis are well demonstrated by PCCT,and 3D microvascular density is significantly correlated with the proportion of fibrosis area.Those findings indicate that microvascular change is closely related to the degree of liver fibrosis induced by bile duct ligation,and thus it provides a novel means to assess the severity of liver fibrosis through microvascular change.
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Texto completo: 1 Base de datos: WPRIM Tipo de estudio: Prognostic_studies Idioma: Zh Revista: Chinese Journal of Medical Imaging Año: 2017 Tipo del documento: Article
Texto completo: 1 Base de datos: WPRIM Tipo de estudio: Prognostic_studies Idioma: Zh Revista: Chinese Journal of Medical Imaging Año: 2017 Tipo del documento: Article