Literature DB >> 18379301

Diagnosis of cirrhosis by spiral computed tomography: a case-control study with feature analysis and assessment of interobserver agreement.

Alexander Keedy1, Antonio C Westphalen, Aliya Qayyum, Rizwan Aslam, Alexander V Rybkin, Mei-Hsiu Chen, Fergus V Coakley.   

Abstract

PURPOSE: To determine the accuracy and interobserver agreement of spiral computed tomography (CT) in the diagnosis of cirrhosis.
MATERIALS AND METHODS: We retrospectively identified 126 patients who underwent spiral CT at our institution and who had a contemporaneous histopathologic confirmation of cirrhosis (n = 67) or clinical and biochemical evidence of a normal liver (n = 59). Two experienced readers independently recorded the overall likelihood of cirrhosis and the presence or absence of hepatic and extrahepatic findings of cirrhosis and portal hypertension on a 5-point scale from 1 (definitely absent) to 5 (definitely present/severe).
RESULTS: Receiver operating characteristic curve and kappa statistic analyses showed that the overall likelihood of cirrhosis was the most accurate and objective observation, with an area under the curve (AUC) of 0.97 for reader 1 and 0.90 for reader 2 and a kappa value of 0.70. Individual findings that were accurate and objective were diaphragmatic surface nodularity (AUC = 0.95 and 0.88 for readers 1 and 2, respectively, kappa = 0.75), global or segmental volume loss (AUC = 0.95 and 0.87 for readers 1 and 2, respectively, kappa = 0.70), and superior diaphragmatic adenopathy (AUC = 0.85 for both readers, kappa = 0.78). Of note, portal vein diameter was not significantly different between normal and cirrhotic patients as measured by either reader (P = 0.54 and 0.65).
CONCLUSION: Spiral CT demonstrates high accuracy and interobserver agreement in the diagnosis of cirrhosis, suggesting CT may be a supplementary diagnostic test in patients who have contraindications to biopsy or have equivocal biopsy findings.

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Year:  2008        PMID: 18379301      PMCID: PMC2744373          DOI: 10.1097/RCT.0b013e31815ea857

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  17 in total

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4.  Computed tomography of hepatic morphologic changes in cirrhosis of the liver.

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  5 in total

1.  Quantitative detection of cirrhosis: towards the development of computer-assisted detection method.

Authors:  Hannu T Huhdanpaa; Peng Zhang; Venkataramu N Krishnamurthy; Chris Douville; Binu Enchakolody; Chris Chou; Sampathkumar Ethiraj; Stewart Wang; Grace L Su
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2.  Clinically severe portal hypertension: role of multi-detector row CT features in diagnosis.

Authors:  Ji Young Lee; Tae Yeob Kim; Woo Kyoung Jeong; Yongsoo Kim; Jinoo Kim; Kyoung Won Kim; Young Hwan Kim; Joo Hyun Sohn
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Review 3.  Imaging appearance in acute liver failure: correlation with clinical and pathology findings.

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Journal:  Dig Dis Sci       Date:  2014-04-02       Impact factor: 3.199

4.  Quantitative liver surface nodularity score based on imaging for assessment of early cirrhosis in patients with chronic liver disease: A protocol for systematic review and meta-analysis.

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Journal:  Medicine (Baltimore)       Date:  2021-01-29       Impact factor: 1.817

5.  Feasibility and reproducibility of liver surface nodularity quantification for the assessment of liver cirrhosis using CT and MRI.

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  5 in total

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