Academic Radiology
Volume 19, Issue 2 , Pages 131-140 , February 2012

Comparison of Digital with Film Radiographs for the Classification of Pneumoconiotic Pleural Abnormalities

  • Theodore C. Larson, MS

      Affiliations

    • Division of Health Studies, Agency for Toxic Substances and Disease Registry, 4770 Buford Highway NE, MS F57, Atlanta, GA 30341
    • Corresponding Author InformationAddress correspondence to: T.C.L.
    • ,
  • David B. Holiday, PhD

      Affiliations

    • RTI International, Atlanta, Georgia
    • ,
  • Vinicius C. Antao, MD, MSc, PhD

      Affiliations

    • Division of Health Studies, Agency for Toxic Substances and Disease Registry, 4770 Buford Highway NE, MS F57, Atlanta, GA 30341
    • ,
  • Jerry Thomas, MS

      Affiliations

    • Via Christi Health and University of Kansas School of Medicine, Wichita, Kansas
    • ,
  • Germania Pinheiro, MD, MSc, PhD

      Affiliations

    • National Center for HIV/AIDS, Viral Hepatitis, STD and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia
    • ,
  • Vikas Kapil, DO, MPH

      Affiliations

    • Office of Noncommunicable Diseases, Injury and Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
    • ,
  • Alfred Franzblau, MD

      Affiliations

    • Department of Environmental Health Sciences, University of Michigan, Ann Arbor, Michigan

Received 29 August 2011 ,Accepted 3 October 2011.

References 

  1. Cohen R, Balzer K. Industrial toxicity. In:  Plog BA,  Niland J,  Quinlan P editor. Fundamentals of industrial hygiene. Chicago: National Safety Council; 1996;p. 123–151
  2. Cowie R, Murray J, Becklake MR. Pneumoconioses. In:  Mason RJ,  Murray J,  Broaddus VC,  Nadel J editor. Textbook of respiratory medicine. Philadelphia: Elsevier Saunders; 2005;p. 554–564
  3. International Labour Organization. Guidelines for the use of the ILO international classification of radiographs of pneumoconioses. 2000 ed. Geneva, Switzerland: International Labour Organization; 2002;
  4. Zahringer M, Piekarski C, Saupe M, et al. Comparison of digital selenium radiography with an analog screen-film system in the diagnostic process of pneumoconiosis according to ILO classification. Rofo. 2001;173:942–948
  5. Takashima Y, Suganuma N, Sakurazawa H, et al. A flat-panel detector digital radiography and a storage phosphor computed radiography: screening for pneumoconioses. J Occup Health. 2007;49:39–45
  6. Franzblau A, Kazerooni EA, Sen A, et al. Comparison of digital radiographs with film radiographs for the classification of pneumoconiosis. Acad Radiol. 2009;16:669–677
  7. Laney AS, Petsonk EL, Wolfe AL, et al. Comparison of storage phosphor computed radiography with conventional film-screen radiography in the recognition of pneumoconiosis. Eur Respir J. 2010;36:122–127
  8. Sen A, Lee SY, Gillespie BW, et al. Comparing film and digital radiographs for reliability of pneumoconiosis classifications: a modeling approach. Acad Radiol. 2010;17:511–519
  9. Peipins LA, Lewin M, Campolucci S, et al. Radiographic abnormalities and exposure to asbestos-contaminated vermiculite in the community of Libby, Montana, USA. Environ Health Perspect. 2003;111:1753–1759
  10. Larson TC, Meyer CA, Kapil V, et al. Workers with Libby amphibole exposure: retrospective identification and progression of radiographic changes. Radiology. 2010;255:924–933
  11. Kusaka Y, Hering KG, Parker JE. HRCT for occupational and environmental respiratory diseases. Tokyo, Japan: Springer; 2005;
  12. Fleiss J, Levin B, Paik M. Statistical methods for rates and proportions. New York: Wiley-Interscience; 2003;
  13. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159–174
  14. Obuchowski NA. Receiver operating characteristic curves and their use in radiology. Radiology. 2003;229:3–8
  15. Fleiss J. Design and analysis of clinical experiments. New York: Wiley; 1986;
  16. Feinstein AR, Cicchetti DV. High agreement but low kappa: I. The problems of two paradoxes. J Clin Epidemiol. 1990;43:543–549
  17. Hoenig JM, Heisey DM. The abuse of power: the pervasive fallacy of power calculations for data analysis. Am Stat. 2001;55:19–24
  18. Mannino DM, Kennedy RD, Hodous TK. Pneumoconiosis: comparison of digitized and conventional radiographs. Radiology. 1993;187:791–796
  19. Cicchetti DV, Feinstein AR. High agreement but low kappa: II. Resolving the paradoxes. J Clin Epidemiol. 1990;43:551–558
  20. Lee YC, Runnion CK, Pang SC, et al. Increased body mass index is related to apparent circumscribed pleural thickening on plain chest radiographs. Am J Ind Med. 2001;39:112–116
  21. Ramazzini C. Asbestos is still with us: repeat call for a universal ban. Arch Environ Occup Health. 2010;65:121–126
  22. Liu H, Tang Z, Yang Y, et al. Identification and classification of high risk groups for coal workers’ pneumoconiosis using an artificial neural network based on occupational histories: a retrospective cohort study. BMC Public Health. 2009;9:366

PII: S1076-6332(11)00458-2

doi: 10.1016/j.acra.2011.10.002

Academic Radiology
Volume 19, Issue 2 , Pages 131-140 , February 2012

Article Tools

* Image Usage & Resolution