Abstract
This work investigates the impact of advanced clinical displays on cancer detection in 2D digital mammograms using four-alternative-forced-choice (4AFC) and a dataset of images with inserted simulated lesions. Images were displayed on a standard monitor (Barco Coronis 5MP mammo) and an advanced monitor (Barco Coronis Uniti 12MP MDMC-12132). Ill-defined margin and spiculated mass models were inserted into mammographic regions of interest using a validated physics-based insertion framework. Experiments were conducted for mass size of 8–11 mm to 2–3 mm and density of 100 % to 70 % of glandular tissue with 142 trials per condition. Five medical physicists read the dataset on both monitors. Percentage correct (PC) of detected masses for average observer and 95 % confidence intervals were determined. Paired t-test and ANOVA analysis were performed. The observers had significantly better detection rates when the dataset was read on the advanced monitor compared to the standard monitor (3 % increase in overall PC, paired p-value \(=\) 0.0076).
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Rashidnasab, A., Bemelmans, F., Marshall, N.W., Kimpe, T., Bosmans, H. (2016). Impact of Clinical Display Device on Detectability of Breast Masses in 2D Digital Mammography: A Virtual Clinical Study. In: Tingberg, A., Lång, K., Timberg, P. (eds) Breast Imaging. IWDM 2016. Lecture Notes in Computer Science(), vol 9699. Springer, Cham. https://doi.org/10.1007/978-3-319-41546-8_84
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DOI: https://doi.org/10.1007/978-3-319-41546-8_84
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