Computer-aided stenosis detection at coronary CT angiography: effect on performance of readers with different experience levels

Christian Thilo, Mulugeta Gebregziabher, Felix G. Meinel, Roman Goldenberg, John W. Nance, Elisabeth M. Arnoldi, Lashonda D. Soma, Ullrich Ebersberger, Philip Blanke, Richard L. Coursey, Michael A. Rosenblum, Peter L. Zwerner, U. Joseph Schoepf

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

Objectives: To evaluate the effect of a computer-aided detection (CAD) algorithm for coronary CT angiography (cCTA) on the performance of readers with different experience levels. Methods: We studied 50 patients (18 women, 58 ± 11 years) who had undergone cCTA and quantitative coronary angiography (QCA). Eight observers with varying experience levels evaluated all studies for ≥50 % coronary artery stenosis. After 3 months, the same observers re-evaluated all studies, this time guided by a CAD system. Their performance with and without the CAD system (sensitivity, specificity, positive predictive value and negative predictive value) was assessed using the Likelihood Ratio Χ2 test both at the per-patient and per-vessel levels. Results: The sensitivity of the CAD system alone for stenosis detection was 71 % per-vessel and 100 % per-patient. There were 54 false positive (FP) findings within 199 analyzed vessels, most of them associated with non-obstructive (<50 %) lesions. With CAD, one (out of three, 33 %) inexperienced reader’s per-patient sensitivity and negative predictive value significantly improved from 79 % to 100 % (P = 0.046) and from 90 % to 100 % (P = 0.034), respectively. Other readers’ performance indices showed no statistically significant change. Conclusions: Our results suggest that CAD can improve some inexperienced readers’ sensitivity for diagnosing coronary artery stenosis at cCTA. Key Points: • Computer-assisted algorithms can aid in detecting coronary artery stenosis at CT. • The change in overall diagnostic performance is small across all experience levels. • For some inexperienced readers a significant increase in sensitivity is observed.

Original languageEnglish (US)
Pages (from-to)694-702
Number of pages9
JournalEuropean Radiology
Volume25
Issue number3
DOIs
StatePublished - Mar 2015

Keywords

  • Cardiac CT
  • Computer-aided diagnosis
  • Coronary CT angiography
  • Diagnostic performance
  • Experience

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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