The company said that six posters and two oral presentations involved the use of its Volpara automated breast density and quantitative breast imaging software tools.
In one oral presentation, researchers from Institut Gustave Roussy in Paris used VolparaDensity and visual assessment by radiologists to track changes in breast density in 50 women who were positive for the BRCA gene and were scheduled for oophorectomy surgery to reduce their cancer risk. The study found a significant decline in volumetric density after the surgery, with a larger degree of change in younger patients.
In a poster presentation, U.S. researchers evaluated whether the cutoffs used by VolparaDensity to assign automated BI-RADS density categories needed to be updated to reflect changes made to the fifth edition of the BI-RADS lexicon. Readers found an agreement of 75% between grades made by the fourth edition of the Volpara software and assessments by radiologists using updated definitions.
In another study, Dutch researchers used VolparaAnalytics to examine whether different breast compression protocols affected applied force, pressure, and breast contact area. The findings showed that a protocol guided by pressure using a compression paddle with a real-time pressure indicator resulted in less force and pressure, as well as more consistency between patients.
Other Volpara studies at ECR 2016 covered a new algorithm for automatically assessing four breast positioning metrics from digital mammograms, the potential to use big-data analytics to reduce radiation dose with Volpara's quantitative tools, and the impact of mammography quality control on breast density.