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Interobserver variability in the interpretation of chest roentgenograms of patients with possible pneumonia

M Young1, T J Marrie

  • 1Department of Medicine, Dalhousie University, Halifax, Nova Scotia.

Abstract

Insights

Interobserver variability in diagnosing pneumonia from chest X-rays is significant and does not improve with experience. Dense opacities are consistently identified, but patchy opacities lead to varied interpretations.

Area of Science:

  • Radiology
  • Medical Diagnostics
  • Pulmonary Medicine

Background:

  • Interobserver variability in pneumonia diagnosis via chest roentgenography is a known issue.
  • This study investigates how medical experience impacts this variability.
  • It also defines roentgenographic features of pneumonia consistently identified by observers.

Purpose of the Study:

  • To assess the effect of clinical experience on interobserver variability in interpreting chest roentgenograms for pneumonia.
  • To identify specific roentgenographic characteristics of pneumonia that are consistently interpreted across different experience levels.

Main Methods:

  • Chest roentgenograms from 15 pneumonia patients were reviewed by medical students, residents, and staff physicians.
  • A panel of three radiologists served as the gold standard for diagnosis.
  • Agreement was analyzed using majority rule and logistic regression.

Main Results:

  • Observer agreement with the gold standard varied by experience level: original radiologist (87%), attending staff (72%), residents (66%), fourth-year students (54%), and first-year students (59%).
  • Dense lobar or segmental opacities were consistently interpreted as pneumonia.
  • Patchy opacities led to significant disagreement, often misinterpreted as not pneumonia.

Conclusions:

  • Considerable interobserver variability exists in the roentgenographic diagnosis of pneumonia.
  • Increasing clinical experience does not reduce this diagnostic variability.
  • While dense opacities are uniformly recognized, patchy opacities present diagnostic challenges.

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