While genetic testing (GT) has become more available over the past decade, it is unclear whether public awareness and use have increased proportionally. We aimed to evaluate national trends in GT awareness and usage. We performed a cross-sectional analysis of nationally representative data from the National Cancer Institute’s Health Information National Trends Survey (HINTS). We analyzed survey responses from HINTS 4 Cycle 1–4...

Purpose Understanding how stage at cancer diagnosis influences cause of death, an endpoint that is not susceptible to lead-time bias, can inform population-level outcomes of cancer screening. Methods Using data from 17 US Surveillance, Epidemiology, and End Results registries for 1,154,515 persons aged 50–84 years at cancer diagnosis in 2006–2010, we evaluated proportional causes of death by cancer type and uniformly classifie...

Purpose Accurate pectoral muscle removal is critical in mammographic breast density estimation and many other computer-aided algorithms. We propose a novel approach to remove pectoral muscles form mediolateral oblique (MLO) view mammograms and compare accuracy and computational efficiency with existing method (Libra). Methods A pectoral muscle identification pipeline was developed. The image is first binarized to enhance contr...

Purpose It may be important for women to have mammograms at different points in time to track changes in breast density, as fluctuations in breast density can affect breast cancer risk. This systematic review aimed to assess methods used to relate repeated mammographic images to breast cancer risk. Methods The databases including Medline (Ovid) 1946-, Embase.com 1947-, CINAHL Plus 1937-, Scopus 1823-, Cochrane Library (includi...

Purpose The Joanne Knight Breast Health Cohort was established to link breast cancer risk factors, mammographic breast density, benign breast biopsies and associated tissue markers, and blood markers in a diverse population of women undergoing routine mammographic screening to study risk factors and validate models for breast cancer risk prediction. Methods Women were recruited from November 2008 to April 2012 through the mamm...

The Your Disease Risk tool (yourdiseaserisk.wustl.edu) went live to the public in January 2000 and was one of the first personalized health risk assessment sites on the Internet. Its launch marked the culmination of years of work by a large, multi-disciplinary university team whose primary goal was to translate the science on cancer prevention into accurate, engaging, and useful messages for the public. Today, 20 years on, You...