Liver fibrosis staging with contrast-enhanced ultrasonography: prospective multicenter study compared with METAVIR scoring

被引:0
作者
F. Staub
C. Tournoux-Facon
J. Roumy
C. Chaigneau
M. Morichaut-Beauchant
P. Levillain
C. Prevost
C. Aubé
J. Lebigot
F. Oberti
J. B. Galtier
H. Laumonier
H. Trillaud
P. H. Bernard
J. F. Blanc
S. Sironneau
F. Machet
J. Drouillard
V. de Ledinghen
P. Couzigou
P. Foucher
L. Castéra
F. Tranquard
Y. Bacq
L. d’Altéroche
P. Ingrand
J. P. Tasu
机构
[1] CHU de Poitiers,Department of Radiology
[2] CHU de Poitiers,Department of Hepatology
[3] CHU de Poitiers,Department of Pathology
[4] CHU de Poitiers,Centre d’investigation clinique INSERM CIC
[5] CHU d’Angers,P U802
[6] CHU de Tours,Radiology Department
[7] CHU de Bordeaux,Radiology Department
[8] CHU d’Angers,Radiology Departement
[9] CHU de Bordeaux,Hepatology Department
[10] CHU de Tours,Hepatology Department
[11] Fabrice Staub service de Radiologie,Hepatology Department
来源
European Radiology | 2009年 / 19卷
关键词
Liver; Fibrosis; Transit time; Contrast-enhanced sonography;
D O I
暂无
中图分类号
学科分类号
摘要
We prospectively assessed contrast-enhanced sonography for evaluating the degree of liver fibrosis as diagnosed via biopsy in 99 patients. The transit time of microbubbles between the portal and hepatic veins was calculated from the difference between the arrival time of the microbubbles in each vein. Liver biopsy was obtained for each patient within 6 months of the contrast-enhanced sonography. Histological fibrosis was categorized into two classes: (1) no or moderate fibrosis (F0, F1, and F2 according to the METAVIR staging) or (2) severe fibrosis (F3 and F4). At a cutoff of 13 s for the transit time, the diagnosis of severe fibrosis was made with a specificity of 78.57%, a sensitivity of 78.95%, a positive predictive value of 78.33%, a negative predictive value of 83.33%, and a performance accuracy of 78.79%. Therefore, contrast-enhanced ultrasound can help with differentiation between moderate and severe fibrosis.
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页码:1991 / 1997
页数:6
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共 69 条
[1]  
Friedman SL(2004)Mechanisms of disease: mechanisms of hepatic fibrosis and therapeutic implications Nat Clin Pract Gastroenterol Hepatol 1 98-105
[2]  
Blanc JF(2005)Investigation of liver fibrosis in clinical practice Hepatol Res 32 1-8
[3]  
Bioulac-Sage P(2003)Liver microbubble transit time compared with histology and Child-Pugh score in diffuse liver disease: a cross sectional study Gut 52 1188-1193
[4]  
Balabaud C(2005)Hepatic vein transit times using a microbubble agent can predict disease severity non-invasively in patients with hepatitis C Gut 54 128-133
[5]  
Blomley MJ(2006)Assessment of the severity of liver disease and fibrotic change: the usefulness of hepatic CT perfusion imaging Oncol Rep 16 677-683
[6]  
Lim AK(2007)Contrast-enhanced ultrasound to evaluate the severity of chronic hepatitis C Dig Liver Dis 39 929-935
[7]  
Harvey CJ(2008)Induced hepatic fibrosis in rats: hepatic steatosis, macromolecule content, perfusion parameters, and their correlations—preliminary MR imaging in rats Radiology 247 696-705
[8]  
Lim AK(1999)Non-invasive diagnosis of hepatic cirrhosis by transit-time analysis of an ultrasound contrast agent Lancet 353 1579-1583
[9]  
Taylor-Robinson SD(2005)Hepatic transit time of ultrasound contrast in biopsy characterized liver disease Acta Radiol 46 557-560
[10]  
Patel N(2008)Non-invasive prediction of the degree of liver fibrosis in patients with hepatitis C using an ultrasound contrast agent. A pilot study J Med Imaging Radiat Oncol 52 130-133