Agreement between radiologists’ interpretations of screening mammograms Conference Paper


Authors: Nishikawa, R. M.; Comstock, C. E.; Linver, M. N.; Newstead, G. M.; Sandhir, V.; Schmidt, R. A.
Title: Agreement between radiologists’ interpretations of screening mammograms
Conference Title: 13th International Workshop on Breast Imaging (IWDM 2016)
Abstract: We performed a preliminary investigation to determine how similar radiologists’ interpretations of screening mammograms are. Our dataset consisted of 50 cancer cases and 50 normal cases that were read by 50 radiologists. We computed sensitivity, specificity, and interpretation on a case-by-case basis to study similarity between pairs of radiologists. We failed to find any pairs of radiologists who read all the cases, only the normal cases, or only the cancer cases the same. There were very few radiologists who read both cancer cases and normal cases in a similar manner. Even radiologists who had similar sensitivities or similar specificities differed substantially on the interpretation of individual cases. Our data indicate that there may be an underlying variability between radiologists in terms of image features used to detect cancers and when a false detection is made. This underlying variability may make the development and implementation of model observers more difficult. © Springer International Publishing Switzerland 2016.
Keywords: clinical trial; mammography; medical imaging; screening; diseases; image features; model observer; radiologist performance; virtual clinical trials; x ray screens; false detections; screening mammogram
Journal Title Lecture Notes in Computer Science
Volume: 9699
Conference Dates: 2016 Jun 19-22
Conference Location: Malmö, Sweden
ISBN: 0302-9743
Publisher: Springer  
Date Published: 2016-01-01
Start Page: 3
End Page: 10
Language: English
DOI: 10.1007/978-3-319-41546-8_1
PROVIDER: scopus
DOI/URL:
Notes: Conference Paper: in "Breast Imaging: 13th International Workshop, IWDM 2016 Malmö, Sweden, June 19–22, 2016 Proceedings" (ISBN: 978-3-319-41545-1) -- Conference code: 176899 -- Export Date: 2 August 2016 -- Source: Scopus
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