Improved detection of pulmonary nodules on energy-subtracted chest radiographs with a commercial computer-aided diagnosis software: comparison with human observers.

Objective: To retrospectively analyze the performance of a commercial computer-aided diagnosis (CAD) software in the detection of pulmonary nodules in original and energy-subtracted (ES) chest radiographs.Methods: Original and ES chest radiographs of 58 patients with 105 pulmonary nodules measuring...

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Published in:European Radiology Vol. 20; no. 6; pp. 1289 - 1297
Main Authors: Szucs-Farkas Z, Patak MA, Yuksel-Hatz S, Ruder T, Vock P, Szucs-Farkas, Zsolt, Patak, Michael A, Yuksel-Hatz, Seyran, Ruder, Thomas, Vock, Peter
Format: research Journal Article
Published: Springer Nature Jun2010
Online Access:View this record in EBSCOhost
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      pub: Springer Nature
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        atl: Improved detection of pulmonary nodules on energy-subtracted chest radiographs with a commercial computer-aided diagnosis software: comparison with human observers.
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          Szucs-Farkas Z
          Patak MA
          Yuksel-Hatz S
          Ruder T
          Vock P
          Szucs-Farkas, Zsolt
          Patak, Michael A
          Yuksel-Hatz, Seyran
          Ruder, Thomas
          Vock, Peter
        affil: Department of Diagnostic, Interventional and Pediatric Radiology, University Hospital of Berne, Freiburgstrasse 4, Berne 3010, Switzerland
      sug:
        subj:
          Lung Neoplasms Radiography
          Radiographic Image Interpretation, Computer-Assisted Methods
          Radiographic Image Enhancement Methods
          Radiography, Thoracic Methods
          Software
          Subtraction Technique
          Adult
          Aged
          Aged, 80 and Over
          Algorithms
          Female
          Human
          Male
          Middle Age
          Observer Bias
          Information Science Methods
          Reproducibility of Results
          Sensitivity and Specificity
          Young Adult
          Adult: 19-44 years
          Aged: 65+ years
          Aged, 80 & over
          Middle Aged: 45-64 years
          Female
          Male
      ab: Objective: To retrospectively analyze the performance of a commercial computer-aided diagnosis (CAD) software in the detection of pulmonary nodules in original and energy-subtracted (ES) chest radiographs.Methods: Original and ES chest radiographs of 58 patients with 105 pulmonary nodules measuring 5-30 mm and images of 25 control subjects with no nodules were randomized. Five blinded readers evaluated firstly the original postero-anterior images alone and then together with the subtracted radiographs. In a second phase, original and ES images were analyzed by a commercial CAD program. CT was used as reference standard. CAD results were compared to the readers' findings. True-positive (TP) and false-positive (FP) findings with CAD on subtracted and non-subtracted images were compared.Results: Depending on the reader's experience, CAD detected between 11 and 21 nodules missed by readers. Human observers found three to 16 lesions missed by the CAD software. CAD used with ES images produced significantly fewer FPs than with non-subtracted images: 1.75 and 2.14 FPs per image, respectively (p = 0.029). The difference for the TP nodules was not significant (40 nodules on ES images and 34 lesions in non-subtracted radiographs, p = 0.142).Conclusion: CAD can improve lesion detection both on energy subtracted and non-subtracted chest images, especially for less experienced readers. The CAD program marked less FPs on energy-subtracted images than on original chest radiographs.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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