Literature DB >> 12601199

Severe liver fibrosis or cirrhosis: accuracy of US for detection--analysis of 300 cases.

Agostino Colli1, Mirella Fraquelli, Marco Andreoletti, Barbara Marino, Enrico Zuccoli, Dario Conte.   

Abstract

PURPOSE: To determine the accuracy of various ultrasonographic (US) signs for assessment of the degree of liver fibrosis, with histologic results as reference standard.
MATERIALS AND METHODS: Three hundred consecutive asymptomatic patients with at least 6 months of increased levels of aspartate aminotransferase and/or alanine aminotransferase underwent liver US and biopsy. The estimated pretest probability of severe fibrosis or cirrhosis was 35%. Three US parameters were investigated: liver surface nodularity, caudate lobe hypertrophy, and pattern of hepatic venous blood flow. US results were compared with histologic results obtained after liver biopsy, which constituted the reference standard for diagnosis of severe fibrosis or cirrhosis. The degree of fibrosis was graded according to METAVIR criteria, with stages 3 and 4 considered together. Data were analyzed with kappa and chi2 statistics. Sensitivity, specificity, positive and negative likelihood ratios, and posttest probability were calculated for each US sign.
RESULTS: In 107 (36%) patients with severe fibrosis (n = 34) or cirrhosis (n = 73), liver surface nodularity had the highest diagnostic accuracy, with specificity of 95% and positive and negative likelihood ratios 11.6 and 0.51, respectively. When liver surface nodularity was considered alone, posttest probability of severe fibrosis or cirrhosis increased from 35% to 86%. When caudate lobe hypertrophy and hepatic venous blood flow were also taken into account, posttest probability increased by only 2% (ie, to 88%).
CONCLUSION: US determination of liver surface nodularity is an accurate method for identifying the subset of asymptomatic patients with severe liver fibrosis or cirrhosis, which indicates a worse prognosis.

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Year:  2003        PMID: 12601199     DOI: 10.1148/radiol.2272020193

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  83 in total

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Review 3.  Prediction of liver cirrhosis, using diagnostic imaging tools.

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Review 4.  Non-invasive diagnosis of liver fibrosis and cirrhosis.

Authors:  Yoav Lurie; Muriel Webb; Ruth Cytter-Kuint; Shimon Shteingart; Gerardo Z Lederkremer
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Review 5.  Four-dimensional flow magnetic resonance imaging in cirrhosis.

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6.  Characterization of hypoechoic focal hepatic lesions in patients with fatty liver: diagnostic performance and confidence of contrast-enhanced ultrasound.

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Review 8.  Non-invasive evaluation of hepatic fibrosis: don't count your chickens before they're hatched.

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9.  Use of administrative claims data for identifying patients with cirrhosis.

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Review 10.  Non-invasive diagnosis of advanced fibrosis and cirrhosis.

Authors:  Suraj Sharma; Korosh Khalili; Geoffrey Christopher Nguyen
Journal:  World J Gastroenterol       Date:  2014-12-07       Impact factor: 5.742

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