@inproceedings{b37d82d2f8a14474a34da5aa97bd7275,
title = "The classification of normal screening mammograms",
abstract = "Rationale and objectives: To understand how breast screen readers classify the difficulty of normal screening mammograms using common lexicon describing normal appearances. Cases were also assessed on their suitability for a single reader strategy. Materials and Methods: 15 breast readers were asked to interpret a test set of 29 normal screening mammogram cases and classify them by rating the difficulty of the case on a five-point Likert scale, identifying the salient features and assessing their suitability for single reading. Using the False Positive Fractions from a previous study, the 29 cases were classified into 10 {"}low{"}, 10 {"}medium{"} and nine {"}high{"} difficulties. Data was analyzed with descriptive statistics. Spearman's correlation was used to test the strength of association between the difficulty of the cases and the readers' recommendation for single reading strategy. Results: The ratings from readers in this study corresponded to the known difficulty level of cases for the 'low' and 'high' difficulty cases. Uniform ductal pattern and density, symmetrical mammographic features and the absence of micro-calcifications were the main reasons associated with 'low' difficulty cases. The 'high' difficulty cases were described as having `dense breasts'. There was a statistically significant negative correlation between the difficulty of the cases and readers' recommendation for single reading (r = -0.475, P = 0.009). Conclusion: The findings demonstrated potential relationships between certain mammographic features and the difficulty for readers to classify mammograms as 'normal'. The standard Australian practice of double reading was deemed more suitable for most cases. There was an inverse moderate association between the difficulty of the cases and the recommendations for single reading.",
author = "Ang, {Zoey Z. Y.} and Rawashdeh, {Mohammad A.} and Robert Heard and Brennan, {Patrick C.} and Warwick Lee and Lewis, {Sarah J.}",
year = "2016",
doi = "10.1117/12.2216626",
language = "English",
isbn = "9781510600225",
publisher = "SPIE",
booktitle = "Proceedings of SPIE: Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, 2-3 March 2016, San Diego, California, United States",
note = "Medical Imaging (Conference : SPIE) ; Conference date: 15-02-2021",
}