中文English
ISSN 1001-5256 (Print)
ISSN 2097-3497 (Online)
CN 22-1108/R
Issue 10
Oct.  2014

A comparative study of FibroScan and B ultrasound in diagnosis of liver fibrosis

DOI: 10.3969/j.issn.1001-5256.2014.10.018
Research funding:

 

  • Received Date: 2014-06-03
  • Published Date: 2014-10-20
  • Objective To compare the diagnostic performances of FibroScan ( FS) and B ultrasound for liver fibrosis and assess the relationship between the two methods. Methods The clinical data of 432 patients who were admitted to our institution between October 2012 and February 2014 were retrospectively analyzed. Of them, 305 had chronic hepatitis B virus infection, 96 had chronic hepatitis C virus infection, and 31 had primary biliary cirrhosis. FS values and parameters measured by B ultrasound including the thickness of left and right liver lobes, the diameter of the portal vein, spleen thickness, spleen length, the diameter of the splenic vein, and variables describing vascular morphology of the liver were recorded. Additionally, the incidence rates of ascites, fatty liver disease, gallbladder diseases, and liver cirrhosis were also reviewed. The correlations between FS value and the parameters were explored using the Spearman rank correlation test and multiple linear regression model. Patients were categorized based on FS values; parameters were compared between the groups by use of Kruskal-Wallis H test or Mann-Whitney U test. Results FS value was positively correlated with the thickness of left liver lobe, spleen thickness and length, the diameter of the portal vein, the diameter of the splenic vein, liver surface smoothness, parenchymal echo, vascular morphology, ascites ( presence or absence) , and liver cirrhosis ( presence or absence) ( rs= 0. 249-0. 543, P < 0. 05 for all) . Furthermore, positive correlations were also observed between these parameters and the stage of liver fibrosis as determined based on FS values ( rs= 0. 229-0. 541, P < 0. 05 for all) . Multiple linear regression analysis identified liver surface smoothness, thickness of the left liver lobe, ascites, and diameter of the portal vein as independent predictive factors for FS value ( t = 5. 123, 3. 703, 3. 113, and 2. 985, P <0. 05 for all) . FS values were 9. 573 ± 9. 490 kPa, 16. 339 ± 11. 359 kPa, and 27. 688 ± 18. 676 kPa in the three groups with liver echo enhancement, rough echo, and nodular echo, respectively; differences between the groups were significant ( χ2= 98. 469, P = 0. 000) .Conclusion There are reliable correlations between FS value and parameters measured by B ultrasound. The diagnostic performance of FibroScan for liver fibrosis is more accurate and objective than that of B ultrasound.

     

  • [1]WANG Y, GANGER DR, LEVITSKY J, et al.Assessment of chronic hepatitis and fibrosis:comparison of MR elastography and diffusion-weighted imaging[J].AJR Am J Roentgenol, 2011, 196 (3) :553-561.
    [2]ARENA U, VIZZUTTI F, ABRALDES JG, et al.Reliability of transient elastography for the diagnosis of advanced fibrosis in chronic hepatitis C[J].Gut, 2008, 57 (9) :1288-1293.
    [3]KIM SU, JANG HW, CHEONG JY, et al.The usefulness of liver stiffness measurement using FibroScan in chronic hepatitis C in South Korea:a multicenter, prospective study[J].J Gastroenterol Hepatol, 2011, 26 (1) :171-178.
    [4]MARCELLIN P, ZIOL M, BEDOSSA P, et al.Non-invasive assessment of liver fibrosis by stiffness measurement in patients with chronic hepatitis B[J].Liver Int, 2009, 29 (2) :242-247.
    [5]CHON YE, CHOI EH, SONG KJ, et al.Performance of transient elastography for the staging of liver fibrosis in patients with chronic hepatitis B:a meta-analysis[J].PLoS One, 2012, 7 (9) :e44930.
    [6]XUAN JQ, LI MX, SU S, et al.Evaluation of degree of liver fibrosis and liver functional reserve in patients with chronic hepatitis B using FibroScan score[J].J Clin Hepatol, 2012, 28 (4) :285-288. (in Chinese) 宣吉晴, 李明星, 苏松, 等.肝脏瞬时弹性值评估慢性乙型肝炎肝纤维化程度及肝脏储备功能的临床研究[J].临床肝胆病杂志, 2012, 28 (4) :285-288.
    [7]FRIEDRICH-RUST M, MLLER C, WINCKLER A, et al.Assessment of liver fibrosis and steatosis in PBC with FibroScan, MRI, MR-spectroscopy, and serum markers[J].J Clin Gastroenterol, 2010, 44 (1) :58-65.
    [8]ZIOL M, HANDRA-LUCA A, KETTANEH A, et al.Noninvasive assessment of liver fibrosis by measurement of stiffness in patients with chronic hepatitis C[J].Hepatology, 2005, 41 (1) :48-54.
    [9]WANG YJ, TANG SS.Assessment of hepatic fibrosis stage by transient elastography:an Meta-analysis[J].Chin J Med Imaging Technol, 2012, 28 (3) :529-533. (in Chinese) 王一娇, 唐少珊.瞬时弹性成像评价肝纤维化分级的Meta分析[J].中国医学影像技术, 2012, 28 (3) :529-533.
    [10]LOK AS, McMAHON BJ.Chronic hepatitis B:update 2009[J].Hepatology, 2009, 50 (3) :661-662.
    [11]GHANY MG, STRADER DB, THOMAS DL, et al.Diagnosis, management, and treatment of hepatitis C:an update[J].Hepatology, 2009, 49 (4) :1335-1374.
    [12]LINDOR KD, GERSHWIN ME, POUPON R, et al.Primary biliary cirrhosis[J].Hepatology, 2009, 50 (1) :291-308.
    [13]TAN YJ, JI D, NIU XX, et al.Frequency and determinants of liver stiffness measurement failure[J].J Med Res, 2012, 41 (11) :30-33. (in Chinese) 谭有娟, 纪冬, 牛小霞, 等.瞬时弹性成像检测肝硬度失败的因素及分析[J].医学研究杂志, 2012, 41 (11) :30-33.
    [14]TAKEMOTO R, NAKAMUTA M, AOYAGI Y, et al.Validity of FibroScan values for predicting hepatic fibrosis stage in patients with chronic HCV infection[J].J Dig Dis, 2009, 10 (2) :145-148.
    [15]HU DM, TAN L.Value of ultrasonography scores for the evaluation in hepatic fibrosis patients with chronic HBV[J].Anhui Med J, 2010, 14 (10) :1161-1162. (in Chinese) 胡冬梅, 谭林.超声评分在慢性HBV携带肝脏纤维化评估中的应用价值[J].安徽医学, 2010, 14 (10) :1161-1162.
    [16]LI F, ZHANG J, LI YG, et al.Correlation between FibroScan measurement and the clinical diagnosis in chronic liver diseases[J].Infect Dis Info, 2010, 23 (3) :136-138. (in Chinese) 李梵, 张健, 李永纲, 等.FibroScan检测与慢性肝病临床诊断的相关性研究[J].传染病信息, 2010, 23 (3) :136-138.
    [17]ZHENG RQ, LYU MD, SU ZZ, et al.Study on ultrasonographic varialbes for evaluating hepatic inflammation and fibrosis degrees[J].Chin J Ultrasound in Med, 2002, 18 (1) :20-22. (in Chinese) 郑荣琴, 吕明德, 苏中振, 等.超声评价肝脏炎症及纤维化程度的指标筛选[J].中国超声医学杂志, 2002, 18 (1) :20-22.
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