Dear Advanced Visualization Insider,
False-positive mammogram results are common, unfortunately, with a majority of women having at least one false-positive result in their lifetime. But a team from the University of Pennsylvania is hoping to do something about the problem.
In a presentation at the recent SPIE Medical Imaging 2014 meeting in San Diego, researchers from the university's Computational Breast Imaging Group shared their results from a novel mammographic texture analysis algorithm. The algorithm, which quantifies the spatial distribution of parenchymal characteristics and localized parenchymal texture patterns, can provide objective and reproducible thresholds for predicting the risk of false-positive biopsies, according to the group.
How well does it perform? Learn more about the research in this edition's Insider Exclusive, which you can access before our other members.
In other news in the Advanced Visualization Digital Community, we're taking a look at how radiology residents use their Apple iPads. Researchers from Beth Israel Deaconess Medical Center found that 86% of their residents were using iPads daily or weekly for their education and clinical work. International Editor Eric Barnes has our coverage of the study, which you can read by clicking here.
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