Improved detection of focal pneumonia by chest radiography with bone suppression imaging

Feng Li*, Roger Engelmann, Lorenzo Pesce, Samuel G. Armato, Heber MacMahon

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

Objective: To evaluate radiologists' ability to detect focal pneumonia by use of standard chest radiographs alone compared with standard plus bone-suppressed chest radiographs. Methods: Standard chest radiographs in 36 patients with 46 focal airspace opacities due to pneumonia (10 patients had bilateral opacities) and 20 patients without focal opacities were included in an observer study. A bone suppression image processing system was applied to the 56 radiographs to create corresponding bone suppression images. In the observer study, eight observers, including six attending radiologists and two radiology residents, indicated their confidence level regarding the presence of a focal opacity compatible with pneumonia for each lung, first by use of standard images, then with the addition of bone suppression images. Receiver operating characteristic (ROC) analysis was used to evaluate the observers' performance. Results: The mean value of the area under the ROC curve (AUC) for eight observers was significantly improved from 0.844 with use of standard images alone to 0.880 with standard plus bone suppression images (P<0.001) based on 46 positive lungs and 66 negative lungs. Conclusion: Use of bone suppression images improved radiologists' performance for detection of focal pneumonia on chest radiographs. Key Points: • Bone suppression image processing can be applied to conventional digital radiography systems. • Bone suppression imaging (BSI) produces images that appear similar to dual-energy soft tissue images. • BSI improves the conspicuity of focal lung disease by minimizing bone opacity. • BSI can improve the accuracy of radiologists in detecting focal pneumonia.

Original languageEnglish (US)
Pages (from-to)2729-2735
Number of pages7
JournalEuropean Radiology
Volume22
Issue number12
DOIs
StatePublished - Dec 2012

Keywords

  • Image processing, computer-assisted
  • Pneumonia
  • ROC curve
  • Radiography, thoracic
  • Task performance and analysis

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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