Skip to main content

Advertisement

Optimal mammography reading volumes: evidence from real life

  • 1791 Accesses

  • 1 Citations

Introduction

The aim of the study was to assess real life reader performance as a function of volume of mammograms read in a large multicentre cohort.

Methods

Thirty-seven film readers within the East Midlands Screening Programme had 3 years of consecutive screen reading results available for comparison.

Markers of screen reading performance (overall and first reader cancer detection rates, recall rates, positive predictive value of recall and missed cancers) were compared with volume of films read. Readers were categorised into four groups, according to film reading volume over the 3-year period: <15,000 (that is, on average less than the recommended 5,000/year); 15,000 to <20,000; 20,000 to <25,000; and ≥ 25,000. Statistical analysis was undertaken using SPSS for Windows version 13.

Results

The recall rate in low volume readers (<5,000/year) was 6.9% and was significantly higher than in the other groups combined (4.8%; P ≤ 0.001). These readers also had a lower positive predictive value than higher volume readers (11.7% versus 15.7%, P ≤ 0.001). The cancer detection rate at first read was significantly lower in the higher volume readers (≥25,000) in comparison to the other groups combined (6.6 per 1,000 versus 8.2 per 1000, P ≤ 0.001).

Conclusion

These data support the recommendation that readers should read a minimum of 5,000 mammograms/year. They also suggest that there is an upper limit above which reader performance deteriorates (in terms of cancer detection). With the imminent programme expansion this has implications for service quality. Consideration should be given to the introduction of an upper limit of mammographic reads.

Author information

Correspondence to E Cornford.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Cornford, E., Reed, J., Murphy, A. et al. Optimal mammography reading volumes: evidence from real life. Breast Cancer Res 11, O2 (2009). https://0-doi-org.brum.beds.ac.uk/10.1186/bcr2366

Download citation

Keywords

  • Cancer Research
  • Real Life
  • Service Quality
  • Cancer Detection
  • Screen Programme