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  • Poster presentation
  • Open Access

PB.25. Implementation of two new digital mammography technologies for Breast Test Wales: more or less accurate?

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Breast Cancer Research201416 (Suppl 1) :P46

  • Published:


  • Breast Cancer
  • Cancer Research
  • Retrospective Study
  • Detection Rate
  • Cancer Screening


The aim of this study is to compare the performance of Sectra and Hologic digital mammography, two different technologies introduced to Breast Test Wales in 2012 for breast cancer screening. Specifically, any variation in findings and whether different types of cancer - for example, invasive or non-invasive - are better identified by either system.


This is a retrospective study of 50,000 consecutive mammograms starting from 2012 of females aged 50 to 70 carried out in the Breast Test Wales mobile screening units. All cancers identified in the two arms of the study were detailed and compared specifically with regards to type (ductal or lobular), size, grade, invasion and node status. Performance of each mammography technology with regard to the detection rate of each cancer type was analysed for any statistically significant difference.


Of 50,000 women screened, 500 cancers were detected with no significant difference in overall invasive cancer detection, invasive ductal or invasive lobular detection found between the two screening technologies. However, Hologic (1.44 per 1,000) was found to have a significantly higher non-invasive cancer detection rate than Sectra (2.88 per 1,000), P < 0.001.


While Hologic and Sectra have been found to be comparable in terms of invasive cancer detection, this study shows a difference in the number of non-invasive cancers they detect. Further study and a decision as to whether the difference is clinically significant long term are now required.

Authors’ Affiliations

Royal Glamorgan Hospital, South Wales, UK


© Evans et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.