Literature DB >> 27062490

Impact of Breast Reader Assessment Strategy on mammographic radiologists' test reading performance.

Wasfi I Suleiman1, Mohammad A Rawashdeh1,2, Sarah J Lewis1, Mark F McEntee1, Warwick Lee1, Kriscia Tapia1, Patrick C Brennan1.   

Abstract

INTRODUCTION: The detection of breast cancer is somewhat limited by human factors, and thus there is a need to improve reader performance. This study assesses whether radiologists who regularly undertake the education in the form of the Breast Reader Assessment Strategy (BREAST) demonstrate any changes in mammography interpretation performance over time.
METHODS: In 2011, 2012 and 2013, 14 radiologists independently assessed a year-specific BREAST mammographic test-set. Radiologists read a different single test-set once each year, with each comprising 60 digital mammogram cases. Radiologists marked the location of suspected lesions without computer-aided diagnosis (CAD) and assigned a confidence rating of 2 for benign and 3-5 for malignant lesions. The mean sensitivity, specificity, location sensitivity, JAFROC FOM and ROC AUC were calculated. A Kruskal-Wallis test was used to compare the readings for the 14 radiologists across the 3 years. Wilcoxon signed rank test was used to assess comparison between pairs of years. Relationships between changes in performance and radiologist characteristics were examined using a Spearman's test.
RESULTS: Significant increases were noted in mean sensitivity (P = 0.01), specificity (P = 0.01), location sensitivity (P = 0.001) and JAFROC FOM (P = 0.001) between 2011 and 2012. Between 2012 and 2013, significant improvements were noted in mean sensitivity (P = 0.003), specificity (P = 0.002), location sensitivity (P = 0.02), JAFROC FOM (P = 0.005) and ROC AUC (P = 0.008). No statistically significant correlations were shown between the levels of improvement and radiologists' characteristics.
CONCLUSION: Radiologists' who undertake the BREAST programme demonstrate significant improvements in test-set performance during a 3-year period, highlighting the value of ongoing education through the use of test-set.
© 2016 The Royal Australian and New Zealand College of Radiologists.

Entities:  

Keywords:  Breast Reader Assessment Strategy; mammography interpretation; performance change over time; radiologists' performance; training intervention

Mesh:

Year:  2016        PMID: 27062490     DOI: 10.1111/1754-9485.12461

Source DB:  PubMed          Journal:  J Med Imaging Radiat Oncol        ISSN: 1754-9477            Impact factor:   1.735


  4 in total

1.  Mammography self-evaluation online test for screening readers: an Italian Society of Medical Radiology (SIRM) initiative.

Authors:  Beniamino Brancato; Francesca Peruzzi; Calogero Saieva; Simone Schiaffino; Sandra Catarzi; Gabriella Gemma Risso; Andrea Cozzi; Serena Carriero; Massimo Calabrese; Stefania Montemezzi; Chiara Zuiani; Francesco Sardanelli
Journal:  Eur Radiol       Date:  2021-09-04       Impact factor: 5.315

2.  Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds.

Authors:  Tuong L Nguyen; Ye K Aung; Shuai Li; Nhut Ho Trinh; Christopher F Evans; Laura Baglietto; Kavitha Krishnan; Gillian S Dite; Jennifer Stone; Dallas R English; Yun-Mi Song; Joohon Sung; Mark A Jenkins; Melissa C Southey; Graham G Giles; John L Hopper
Journal:  Breast Cancer Res       Date:  2018-12-13       Impact factor: 6.466

Review 3.  Errors in Mammography Cannot be Solved Through Technology Alone

Authors:  Ernest Usang Ekpo; Maram Alakhras; Patrick Brennan
Journal:  Asian Pac J Cancer Prev       Date:  2018-02-26

4.  Reading High Breast Density Mammograms: Differences in Diagnostic Performance between Radiologists from Hong Kong SAR/Guangdong Province in China and Australia.

Authors:  Tong Li; Seyedamir Tavakoli Taba; Pek-Lan Khong; Tom X-L Tan; Phuong Dung Yun Trieu; Edward Chan; Moayyad E Suleiman; Ying Li; Patrick Brennan; Sarah Lewis
Journal:  Asian Pac J Cancer Prev       Date:  2020-09-01
  4 in total

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