Single reading with computer-aided detection performed by selected radiologists in a breast cancer screening program

Xavier Bargalló*, Gorane Santamaría, Montse Del Amo, Pedro Arguis, José Ríos, Jaume Grau, Marta Burrel, Enrique Cores, Martín Velasco

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

15 Citations (Scopus)

Abstract

Objectives: To assess the impact of shifting from a standard double reading plus arbitration protocol to a single reading by experienced radiologists assisted by computer-aided detection (CAD) in a breast cancer screening program. Methods: This was a prospective study approved by the ethics committee. Data from 21,321 consecutive screening mammograms in incident rounds (2010-2012) were read following a single reading plus CAD protocol and compared with data from 47,462 consecutive screening mammograms in incident rounds (2004-2010) that were interpreted following a double reading plus arbitration protocol. For the single reading, radiologists were selected on the basis of the appraisement of their previous performance. Results: Period 2010-2012 vs. period 2004-2010: Cancer detection rate (CDR): 6.1‰ (95% confidence interval: 5.1-7.2) vs. 5.25‰; Recall rate (RR): 7.02% (95% confidence interval: 6.7-7.4) vs. 7.24% (selected readers before arbitration) and vs. 3.94 (all readers after arbitration); Predictive positive value of recall: 8.69% vs. 13.32%. Average size of invasive cancers: 14.6 ± 9.5 mm vs. 14.3 ± 9.5 mm. Stage: 0 (22.3/26.1%); I (59.2/50.8%); II (19.2/17.1%); III (3.1/3.3%); IV (0/1.9%). Specialized breast radiologists performed better than general radiologists. Conclusions: The cancer detection rate of the screening program improved using a single reading protocol by experienced radiologists assisted by CAD, at the cost of a moderate increase of the recall rate mainly related to the lack of arbitration.

Original languageAmerican English
Pages (from-to)2019-2023
Number of pages5
JournalEuropean Journal of Radiology
Volume83
Issue number11
DOIs
Publication statusPublished - 1 Nov 2014

Keywords

  • Breast
  • Breast neoplasms
  • Breast screening
  • Computer-assisted diagnosis
  • Mammography

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