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Career caseload predicts interobserver agreement on the final classification of a mammogram

  • Mostafa A. Abdelrahman
  • , Mohammad A. Rawashdeh
  • , Mark McEntee
  • , Laila Abu Tahoun
  • , Patrick Brennan
  • Jordan University of Science and Technology
  • University of Sydney
  • King Hussein Cancer Center

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction: Differences in radiologists’ experience can potentially introduce interobserver variability in reading mammograms. This work investigated the effect of radiologists’ experience on agreement on mammographic final classification. Methods: This was a cross-sectional study. Seventeen radiologists were asked to provide their final impression on 60 mammogram cases. Experience parameters included breast subspecialty, years reading mammograms, cases read per year and career caseload. Career caseload was calculated by multiplying years reading mammograms by the average number of cases read per year. The interobserver agreement was calculated using Cohen kappa (κ). The difference in κ between radiologists’ groups was compared using the independent-sample t-test and analysis of variance. Results: The average interobserver agreement was 0.25 (fair). A small difference was found in favour of breast radiologists against general radiologists (κ = 0.21 and 0.29, respectively, P = 0.019). Years reading mammograms and cases read per year did not seem to significantly affect the interobserver agreement (P = 0.056 and 0.273 respectively). Radiologist who had career caseload of at least 2500 cases showed significantly higher consistency than those who read less. κ for radiologists who had career caseload of 2500–4000 cases and >4000 cases was 0.33 and 0.28, respectively, whereas for <2500 κ was 0.17 (P = 0.001). Conclusion: A fair level of interobserver agreement on the final classification of a mammogram was demonstrated. Career caseload was the most important experience parameter to associate with the interobserver agreement. Training strategies aiming to increase radiologists’ career caseload may be beneficial.

Original languageEnglish
Pages (from-to)197-202
Number of pages6
JournalJournal of Medical Imaging and Radiation Oncology
Volume63
Issue number2
DOIs
Publication statusPublished - Apr 2019
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • breast cancer
  • career caseload
  • interobserver agreement
  • mammogram
  • radiologists

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