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---11i¾?mm to 2---3i¾?mm and density of 100i¾?% to 70i¾?% 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 95i¾?% 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 3i¾?% increase in overall PC, paired p-valuei¾?$$=$$i¾?0.0076.
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