Academic Radiology
Volume 17, Issue 2 , Pages 157-162, February 2010

Effect of Improving the Quality of Radiographic Interpretation on the Ability to Predict Pulmonary Tuberculosis Relapse

  • Jason E. Stout, MD, MHS

      Affiliations

    • Division of Infectious Diseases & International Health, Department of Medicine, 3306-Duke University Medical Center, Durham, NC 27710
    • Corresponding Author InformationAddress correspondence to: J.E.S.
  • ,
  • Andrzej S. Kosinski, PhD

      Affiliations

    • Department of Biostatistics and Bioinformatics, 3306-Duke University Medical Center, Durham, NC 27710
  • ,
  • Carol Dukes Hamilton, MD, MHS

      Affiliations

    • Division of Infectious Diseases & International Health, Department of Medicine, 3306-Duke University Medical Center, Durham, NC 27710
  • ,
  • Philip C. Goodman, MD

      Affiliations

    • Division of Thoracic Imaging, Department of Radiology, 3306-Duke University Medical Center, Durham, NC 27710
  • ,
  • Ann Mosher, MPH, FNP

      Affiliations

    • Division of Infectious Diseases & International Health, Department of Medicine, 3306-Duke University Medical Center, Durham, NC 27710
  • ,
  • Dick Menzies, MD

      Affiliations

    • Montreal Chest Institute, McGill University, Montreal, Quebec, Canada
  • ,
  • Neil Schluger, MD

      Affiliations

    • Division of Pulmonary Allergy & Critical Care Medicine, Columbia University College of Physicians & Surgeons, New York, NY
  • ,
  • Awal Khan, PhD

      Affiliations

    • Centers for Disease Control and Prevention, Atlanta, GA
  • ,
  • John L. Johnson, MD

      Affiliations

    • Division of Infectious Diseases, Case Western Reserve University, Cleveland, OH
  • ,
  • Tuberculosis Trials Consortium

Received 31 July 2009; accepted 10 August 2009. published online 12 November 2009.

Rationale and Objectives

Chest radiographic findings are important for diagnosis and management of tuberculosis. The reliability of these findings is therefore of interest. We sought to describe interobserver reliability of chest radiographic findings in pulmonary tuberculosis, and to understand how the reliability of these findings might affect the utility of radiographic findings in predicting tuberculosis relapse.

Materials and Methods

Three blinded readers independently reviewed chest radiographs from a randomly selected group of 10% of HIV-seronegative subjects participating in a tuberculosis treatment trial. The three readers then arrived at a fourth, consensus radiographic interpretation.

Results

A total of 241 films obtained from 99 patients were reviewed. Agreement among the independent readers was very good for the findings of bilateral disease (κ = 0.71–0.86 among readers) and cavitation (κ = 0.66–0.73). The original interpretation was reasonably sensitive and specific (compared to the consensus interpretation) for bilateral disease, but the sensitivity for cavity decreased from 81% for the 2-month film to 47% at end of treatment (P = 0.013). Substituting the consensus interpretation for the original interpretation increased the odds ratio for the association between cavitation on early chest radiograph and subsequent tuberculosis relapse from 4.97 to 8.97.

Conclusion

Radiographic findings were reasonably reliable between independent reviewers and the original interpretations. The original investigators, who knew the patient's clinical course, were less likely to identify cavitation on the end of treatment chest radiograph. Improving the reliability of these findings could improve the utility of chest radiographs for predicting tuberculosis relapse.

Key Words: Tuberculosis, radiography, thoracic, reliability and validity

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 USPHS/TB Trials Consortium Study 22 was sponsored by the United States Centers for Disease Control and Prevention and was funded in part through a Memorandum of Understanding between the CDC and the Washington, D.C. Veterans Affairs Medical Center. Hoechst Marion Roussel, the manufacturer of rifapentine, provided rifapentine and contributed to the cost of 3 investigator meetings, but did not participate in original or secondary analysis study design, data collection, data analysis, data interpretation, or writing of the report. Dr. Stout received salary support from the National Institutes of Health (K23AI051409). Dr. Hamilton also received salary support from the National Institutes of Health (K24AI001833).

PII: S1076-6332(09)00503-0

doi:10.1016/j.acra.2009.08.013

Academic Radiology
Volume 17, Issue 2 , Pages 157-162, February 2010