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Introduction The Breast Cancer Surveillance Consortium (BCSC) Risk Calculator was developed and validated in 1.1 million women undergoing mammography across the United States, among whom 18,000 were diagnosed with invasive breast cancer. The BCSC Risk Calculator has been externally validated in the The BCSC Risk Calculator is an interactive tool designed by scientists that participate in the to estimate a woman's five-year risk of developing. In 2015, the BCSC risk calculator has been updated to include benign breast disease diagnoses and to estimate both five-year and ten-year breast cancer risk. The BCSC Risk Calculator was designed for use by health professionals. If you are not a health professional, you are encouraged to discuss the results and your personal risk of breast cancer with your health care provider. Biblioteka materialov vray cinema 4d online. The calculator is NOT applicable to women that meet any of the following criteria: • Younger than age 35 or older than age 74 • Previous diagnosis of breast cancer • Previous diagnosis of • Previous breast augmentation • Previous mastectomy More specific methods of estimating risk are appropriate for women known to have breast cancer-producing mutations in the or genes. For more information, please visit: Five- and ten-year breast cancer risk calculations are based on five factors: • • • • • • The risk calculator calculates risk only when information on all five of the above factors are put into the calculator.

Unknown values are allowed for race/ethnicity and family history. The BCSC Risk Calculator may be updated as new data or research becomes available. Current version 2.0. Reference for validation of risk model in the Mayo Mammography Health Study Reference for validation of risk model in the Metro Chicago Breast Cancer Registry.

Abstract Identifying women at high risks of carrying the breast cancer susceptibility genes is crucial for providing timely surveillance and necessary health management interventions. BRCAPRO is one of the most widely used statistical models for breast cancer risk prediction in genetic counseling. It provides carrier probabilities of BRCA1/2 mutations and calculates the risks of developing breast and ovarian cancers. This calculation requires extensive personal and family history information, which makes it difficult to use in primary care where a wider population could be reached. Thus, we developed a two-stage approach for the genetic risk prediction of BRCA1/2 mutation.

In the first stage, limited information on the counselee and her family history of cancer are used in simplified versions of BRCAPRO. If the risk at this stage is found to be high, the full BRCAPRO model utilizing the complete family history is implemented in the second stage. We aimed to balance the tradeoff between the amount of information used and the accuracy of the predictions.

We explored several first stage tools. BRCAPROLYTE uses information on the affected relatives up to the second degree only. BRCAPROLYTE-Plus additionally includes unaffected relatives by imputing their ages. BRCAPROLYTE-Simple eliminates the need to collect information on the numbers and types of unaffected relatives and imputes them and their ages instead. The study cohorts include 1,917 families mostly at high risk from the Cancer Genetics Network, 796 high-risk families from MD Anderson Cancer Center, and 1,344 population-based families from Newton-Wellesley Hospital. To evaluate the models, we used sensitivity, specificity, area under the curve, and observed versus expected number of carriers. We also considered clinical criteria of number of referrals made by each model.