Service and clinical impacts of reader bias in breast cancer screening: a retrospective study

Clarisse F de Vries* (Corresponding Author), Roger T Staff, Jaroslaw A Dymiter, Moragh Boyle, Lesley A Anderson, Gerald Lip, iCAIRD Radiology Collaboration

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

OBJECTIVES: To determine factors influencing reader agreement in breast screening and investigate the relationship between agreement level and patient outcomes.

METHODS: Reader pair agreement for 83 265 sets of mammograms from the Scottish Breast Screening service (2015-2020) was evaluated using Cohen's kappa statistic. Each mammography examination was read by two readers, per routine screening practice, with the second initially blinded but able to choose to view the first reader's opinion. If the two readers disagreed, a third reader arbitrated. Variation in reader agreement was examined by: whether the reader acted as the first or second reader, reader experience, and recall, cancer detection and arbitration recall rate.

RESULTS: Readers' opinions varied by whether they acted as the first or second reader. Furthermore, reader 2 was more likely to agree with reader 1 if reader 1 was more experienced than they were, and less likely to agree if they themselves were more experienced than reader 1 (P < .001). Agreement was not significantly associated with cancer detection rate, overall recall rate or arbitration recall rates (P > .05). Lower agreement between readers led to a higher arbiter workload (P < .001).

CONCLUSIONS: In mammography screening, the second reader's opinion is influenced by the first reader's opinion, with the degree of influence dependent on the readers' relative experience levels.

ADVANCES IN KNOWLEDGE: While less-experienced readers relied on their more experienced reading partner, no adverse impact on service outcomes was observed. Allowing access to the first reader's opinion may benefit newly qualified readers, but reduces independent evaluation, which may lower cancer detection rates.

Original languageEnglish
Pages (from-to)120-125
Number of pages6
JournalBritish Journal of Radiology
Volume97
Issue number1153
Early online date12 Dec 2023
DOIs
Publication statusPublished - 23 Jan 2024

Bibliographical note

Acknowledgements
iCAIRD Radiology Collaboration: Corri Black, Alison D. Murray and Katie Wilde, University of Aberdeen. James D. Blackwood, NHS Greater Glasgow and Clyde. Claire Butterly and John Zurowski, University of Glasgow. Jon Eilbeck and Colin McSkimming, NHS Grampian. Canon Medical Research Europe Ltd. – SHAIP platform.
We would like to acknowledge the support of the Grampian Data Safe Haven (DaSH) facility within the Aberdeen Centre for Health Data Science and the associated financial support of the University of Aberdeen, and NHS Research Scotland (through NHS Grampian investment in DaSH).
Funding
This work is supported by the Industrial Centre for Artificial Intelligence Research in Digital Diagnostics (iCAIRD). iCAIRD was funded by Innovate UK on behalf of UK Research and Innovation (UKRI) [project number: 104690]. The funders were not involved in the study’s design; the collection, analysis or interpretation of the data; or the decision to submit the manuscript for publication.

Keywords

  • Humans
  • Female
  • Early Detection of Cancer
  • Breast Neoplasms
  • Retrospective Studies
  • Mammography
  • Breast

Fingerprint

Dive into the research topics of 'Service and clinical impacts of reader bias in breast cancer screening: a retrospective study'. Together they form a unique fingerprint.

Cite this