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

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

Research output: Contribution to journalArticle

13 Scopus citations

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 κ 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 κ 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, κ = 0.75), global or segmental volume loss (AUC = 0.95 and 0.87 for readers 1 and 2, respectively, κ = 0.70), and superior diaphragmatic adenopathy (AUC = 0.85 for both readers, κ = 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.

Original languageEnglish (US)
Pages (from-to)198-203
Number of pages6
JournalJournal of Computer Assisted Tomography
Volume32
Issue number2
DOIs
StatePublished - Mar 1 2008

Keywords

  • Cirrhosis
  • Computed tomography

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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