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Comparison of shear wave velocity with noninvasive serum score systems in diagnosis of liver fibrosis of patients with chronic hepatitis

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Author:
No author available
Journal Title:
Chinese Journal of Clinical Infectious Diseases
Issue:
5
DOI:
10.3760/cma.j.issn.1674-2397.2013.05.003
Key Word:
肝硬化;声脉冲辐射力成像;肝脏剪切波速;天冬氨酸转氨酶-血小板比值指数;Forns;S指数;FIB-4;Liver cirrhosis;Acoustic radiation force impulse;Liver shear wave velocity;AST to platelet ratio index;Forns;S index;FIB-4

Abstract: Objective To evaluate the clinical application of liver shear wave velocity (SWV) in comparison with common serum score systems [AST to platelet ratio index (APRI),Forns,S index and FIB-4] in assessment of liver fibrosis in patients with chronic hepatitis.Methods A total of 237 chronic hepatitis patients with liver fibrosis confirmed by liver biopsy,who were admitted in Ningbo Second Hospital during October 2010 and April 2013,were enrolled in the study.Liver shear wave velocity were measured by acoustic radiation force impulse (ARFI),and the score of APRI,Forns,S index and FIB-4 were calculated based on the measurement of serum markers.Liver fibrosis stages were classified as S0-S4 according to the Scheuer scoring system,and stages ≥ S2 were identified as significant liver fibrosis.The diagnosis value of SWV,4 common score systems and their combination for significant liver fibrosis was evaluated by receiver operating characteristic curve (ROC).Results A significant linear correlation was found between SWV and the stage of fibrosis (r =0.46,P < 0.01).The areas under the ROCs of SWV and 4 common score systems (APRI,Forns,S index and FIB-4) for the diagnosis of significant liver fibrosis were 0.758 (0.696-0.821),0.727 (0.662-0.793),0.777 (0.717-0.836),0.747 (0.684-0.810) and 0.737 (0.673-0.802),respectively.The area under the ROC of the combined prediction nodel established with Logistic regression was 0.810.Conclusion Liver shear wave velocity measured by ARFI is of clinical value in noninvasive assessment of liver fibrosis,and the prediction accuracy can be improved when it is combined with other noninvasive indices.

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