Skip to main content
Log in

Evaluation of Three Pneumothorax Size Quantification Methods on Digitized Chest X-ray Films Using Medical-Grade Grayscale and Consumer-Grade Color Displays

  • Published:
Journal of Digital Imaging Aims and scope Submit manuscript

Abstract

This study focused on the effects of pneumothorax size quantification in digital radiology environments when a quantification method is selected according to the radiologist’s criteria. The objective of this study was to assess the effects of factors, including the radiologist (with different experience), displays (medical-grade and consumer-grade displays), or display calibration, on the Rhea, Collins, and Light quantification methods. This study used a factorial design with 76 cases, including 16 pneumothorax cases observed by six radiologists on three displays with and without the DICOM standard calibration. The gold standard was established by two radiologists by using computed tomography. Analysis of variance (ANOVA) was performed on the pneumothorax sizes. For the three quantifications methods, none of the evaluated factors were significant. We conclude that radiologists, displays, and calibration do not significantly affect the quantification of pneumothorax size in different digital radiology environments.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Light RW: Management of spontaneous pneumothorax. Am J Respir Crit Care Med 148:245–248, 1993

    CAS  Google Scholar 

  2. Kelly A-M, Druda D: Comparison of size classification of primary spontaneous pneumothorax by three international guidelines: a case for international consensus? Respir Med 102:1830–1832, 2008

    Article  PubMed  Google Scholar 

  3. Do S, Salvaggio K, Gupta S, Kalra M, Ali NU, Pien H: Automated quantification of pneumothorax in CT. Comput Math Methods Med(2012), 2012

  4. Collins C, Lopez A, Mathie A, Wood V, Jackson J, Roddie M: Quantification of pneumothorax size on chest radiographs using interpleural distances: regression analysis based on volume measurements from helical CT. AJS 165:1127–1130, 1995

    CAS  Google Scholar 

  5. Rhea JT, DeLuca SA, Greene RE: Determining the size of pneumothorax in the upright patient. Radiology 144:733–736, 1982

    CAS  PubMed  Google Scholar 

  6. Light RW: Pneumothorax. Williams & Wilkins, Baltimore, 1990

    Google Scholar 

  7. De Leyn P, Lismonde M, Ninane V, Noppen M, Slabbynck H, Van Meerhaeghe A, Van Schil P, Vermassen F: Guidelines Belgian Society of Pneumology. Guidelines on the management of spontaneous pneumothorax. Acta Chir Belg 105:265–267, 2005

    PubMed  Google Scholar 

  8. Noppen M, Alexander P, Driesen P, Slabbynck H, Verstraete A: Quantification of the size of primary spontaneous pneumothorax: accuracy of the Light index. Respiration 68:396–399, 2001

    Article  CAS  PubMed  Google Scholar 

  9. Kelly A-M, Weldon D, Tsang AYL, Graham CA: Comparison between two methods for estimating pneumothorax size from chest X-rays. Respir Med 100:1356–1359, 2006

    Article  PubMed  Google Scholar 

  10. Hoi K, Turchin B, Kelly AM: How accurate is the Light index for estimating pneumothorax size? Australas Radiol 51:196–198, 2007

    Article  CAS  PubMed  Google Scholar 

  11. NEMA: Digital Imaging and Communications in Medicine. National Electrical Manufacturer’s Association, Rosslyn, 2001

    Google Scholar 

  12. Fetterly K, Blume H, Flynn M, Samei E: Introduction to grayscale calibration and related aspects of medical imaging grade liquid crystal displays. J Digit Imaging 21:193–207, 2008

    Article  PubMed Central  PubMed  Google Scholar 

  13. Salazar AJ, Camacho JC, Aguirre DA: Comparison between different cost devices for digital capture of X-ray films with computed tomography (CT) correlation. Telemed J E Health 14:275–282, 2011

    Article  Google Scholar 

  14. Salazar AJ, Camacho JC, Aguirre DA: Agreement and reading-time assessment of differently priced devices for digital capture of X-ray films. J Telemed Telecare 18:82–85, 2011

    Article  PubMed  Google Scholar 

  15. Dorfman DD, Berbaum KS, Lenth RV, Chen YF, Donaghy BA: Monte Carlo validation of a multireader method for receiver operating characteristic discrete rating data: factorial experimental design. Acad Radiol 5:591–602, 1998

    Article  CAS  PubMed  Google Scholar 

  16. Hanley JA, McNeil BJ: A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 148:839–843, 1983

    CAS  PubMed  Google Scholar 

  17. Fawcett T: An introduction to ROC analysis. Pattern Recogn Lett 27:861–874, 2006

    Article  Google Scholar 

  18. Metz CE: ROC methodology in radiologic imaging. Invest Radiol 21:720–733, 1986

    Article  CAS  PubMed  Google Scholar 

  19. Metz C: ROC analysis in medical imaging: a tutorial review of the literature. Radiol Phys Technol 1:2–12, 2008

    Article  PubMed  Google Scholar 

  20. SMTP: Specifications for medical diagnostic imaging test pattern for television monitors and hard-copy recording cameras. SMPTE J 95:693–695, 1986

    Article  Google Scholar 

  21. Gray J: Use of the SMPTE test pattern in picture archiving and communication systems. J Digit Imaging 5:54–58, 1992

    Article  CAS  PubMed  Google Scholar 

  22. Gray JE, Lisk KG, Haddick DH, Harshbarger JH, Oosterhof A, Schwenker R: Test pattern for video displays and hard-copy cameras. Radiology 154:519–527, 1985

    CAS  PubMed  Google Scholar 

  23. Forsberg DA: Quality assurance in teleradiology. Telemed J 1:107–114, 1998

    Article  Google Scholar 

  24. Thompson SK, Willis CE, Krugh KT, Jeff Shepard S, McEnery KW: Implementing the DICOM grayscale standard display function for mixed hard- and soft-copy operations. J Digit Imaging 15:27–32, 2002

    Article  PubMed  Google Scholar 

  25. Hillis SL: A comparison of denominator degrees of freedom methods for multiple observer ROC analysis. Stat Med 26:596–619, 2007

    Article  PubMed Central  PubMed  Google Scholar 

  26. Dorfman DD, Berbaum KS, Metz CE: Receiver operating characteristic rating analysis. Generalization to the population of readers and patients with the jackknife method. Invest Radiol 27:723–731, 1992

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Antonio J. Salazar.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Salazar, A.J., Aguirre, D.A., Ocampo, J. et al. Evaluation of Three Pneumothorax Size Quantification Methods on Digitized Chest X-ray Films Using Medical-Grade Grayscale and Consumer-Grade Color Displays. J Digit Imaging 27, 280–286 (2014). https://doi.org/10.1007/s10278-013-9651-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10278-013-9651-2

Keywords

Navigation