Literature DB >> 23930869

Ultrasound based evaluation of hepatic steatosis and fibrosis in hepatitis C non-responders.

Saba Sohail1, Sina' Aziz, Talat Mirza.   

Abstract

OBJECTIVE: To determine the accuracy of ultrasound in the diagnosis and grading of steatosis and fibrosis in Hepatitis C (HCV) patients not responding to ribavarin-interferon therapy. STUDY
DESIGN: A cross-sectional, analytical study. PLACE AND DURATION OF STUDY: Radiology Department, Civil Hospital, Karachi, from March 2008 to August 2010.
METHODOLOGY: Patients with positive HCV RNA despite 24 weeks ribavarin-interferon therapy (non-responders) were subjected to ultrasound and biopsy prior to institution of pegylated interferon therapy for detection and grading of steatosis and fibrosis. Using histopathology as the gold standard, sensitivity, specificity, negative and positive predictive values for ultrasound were determined.
RESULTS: The sensitivity of ultrasound for hepatic steatosis was 90.9% for no steatosis (NS), 100% for moderate and gross steatosis and 84.4% for mild steatosis with 100% specificity. The sensitivity for fibrosis was 25% for no fibrosis, 100% for mild fibrosis, 89.74% for moderate fibrosis and 100% for gross fibrosis. The overall accuracy for detection of steatosis was 95.39% and that for fibrosis was 98.02%. Hepatic vein showed increased dampening of flow with advancing grades of steatosis and fibrosis.
CONCLUSION: Ultrasound has a high accuracy in the diagnosis and grading of steatosis and fibrosis in HCV nonresponders. Mild fibrosis may confound the diagnosis of mild steatosis.

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Year:  2013        PMID: 23930869     DOI: 08.2013/JCPSP.548552

Source DB:  PubMed          Journal:  J Coll Physicians Surg Pak        ISSN: 1022-386X            Impact factor:   0.711


  1 in total

1.  Changes in tumor necrosis factor-α, heat shock protein 70, malondialdehyde, and superoxide dismutase in patients with different severities of alcoholic fatty liver disease: a prospective observational study.

Authors:  Bao-Ge Qu; Hui Wang; Yi-Guo Jia; Ji-Liang Su; Zhong-Dong Wang; Ya-Fei Wang; Xing-Hai Han; Yuan-Xun Liu; Jin-Dun Pan; Guang-Ying Ren
Journal:  Medicine (Baltimore)       Date:  2015-03       Impact factor: 1.889

  1 in total

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