Mammography screening for early detection of breast cancer is offered in most European countries, as well as in the U.S. Breast density has turned out to be one of the more significant risk factors for breast cancer. Efforts have been put into studying the possibility of adding computer assisted diagnostics (CAD) for automated breast density analysis and cancer detection, but also to the possibility of using computer assistance in breast texture analysis (i.e. other patterns than density and the associated risk of breast cancer). In order to assess whether screening works differently in women with different types of breasts in terms of density and texture, we will looked at previously collected data to compare the sensitivity and specificity for the different density and pattern measures and evaluate the positive predictive value. We will also be evaluating the relative risk of being true positive classifying the women by radiology assessed BI-RADS density, using both chi-square and logistic regression as a method of analysis. The project will also be working with at least one other European collaborator and their data.
With this background, and within the realm of more personalized screening, you as the Research Assistant will collaborate with a senior researcher in a project studying recent data from mammography programs with the aim of assessing measures of quality assurance in relation to varying density in populations at national and regional levels.