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European Radiology

, Volume 17, Issue 11, pp 2941–2947 | Cite as

Comparison of sensitivity and reading time for the use of computer-aided detection (CAD) of pulmonary nodules at MDCT as concurrent or second reader

  • F. BeyerEmail author
  • L. Zierott
  • E. M. Fallenberg
  • K. U. Juergens
  • J. Stoeckel
  • W. Heindel
  • D. Wormanns
Chest

Abstract

The purpose of this study was to compare sensitivity for detection of pulmonary nodules in MDCT scans and reading time of radiologists when using CAD as the second reader (SR) respectively concurrent reader (CR). Four radiologists analyzed 50 chest MDCT scans chosen from clinical routine two times and marked all detected pulmonary nodules: first with CAD as CR (display of CAD results immediately in the reading session) and later (median 14 weeks) with CAD as SR (display of CAD markers after completion of first reading without CAD). A Siemens LungCAD prototype was used. Sensitivities for detection of nodules and reading times were recorded. Sensitivity of reading with CAD as SR was significantly higher than reading without CAD (p < 0.001) and CAD as CR (p < 0.001). For nodule size of 1.75 mm or above no significant sensitivity difference between CAD as CR and reading without CAD was observed; e.g., for nodules above 4 mm sensitivity was 68% without CAD, 68% with CAD as CR (p = 0.45) and 75% with CAD as SR (p < 0.001). Reading time was significantly shorter for CR (274 s) compared to reading without CAD (294 s; p = 0.04) and SR (337 s; p < 0.001). In our study CAD could either speed up reading of chest CT cases for pulmonary nodules without relevant loss of sensitivity when used as CR, or it increased sensitivity at the cost of longer reading times when used as SR.

Keywords

Computed tomography (CT) Lung Nodule Computer Diagnostic aid 

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Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  • F. Beyer
    • 1
    Email author
  • L. Zierott
    • 1
  • E. M. Fallenberg
    • 1
    • 2
  • K. U. Juergens
    • 1
  • J. Stoeckel
    • 3
  • W. Heindel
    • 1
  • D. Wormanns
    • 1
    • 4
  1. 1.Department of Clinical RadiologyUniversity Hospital MuensterMuensterGermany
  2. 2.Department of RadiologyClemenshospital Muenster GmbHMuensterGermany
  3. 3.CAD GroupSiemens Medical Solutions USA Inc.MalvernUSA
  4. 4.Depatment of RadiologyELK Berlin Chest HospitalBerlinGermany

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