Beyond the AJR: Impact of Routine Breast Cancer Risk Assessment on Screening Mammography Adherence Among Women in Racial and Ethnic Minority Groups

2021 ◽  
Author(s):  
Brian N. Dontchos ◽  
Gary X. Wang
Keyword(s):  
Breast Cancer ◽  
Risk Assessment ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Minority Groups ◽  
Screening Mammography ◽  
Cancer Risk Assessment ◽  
Ethnic Minority Groups ◽  
Breast Cancer Risk Assessment ◽  
Racial And Ethnic Minority

Short-term outcomes of implementation of a computer-based breast cancer risk assessment program during screening mammography.

2012 ◽  
Vol 30 (34_suppl) ◽  
pp. 298-298
Author(s):  
Debra Ray ◽  
Sherry Grumet ◽  
Portia Lagmay-Fuentes ◽  
Lolita Jacob ◽  
Annette Terzo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Assessment ◽  
High Risk ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Life Time ◽  
Screening Mammography ◽  
Cancer Risk Assessment ◽  
Breast Cancer Risk Assessment ◽  
High Risk Clinic

298 Background: Major barriers to high risk breast cancer risk assessment include inadequate documentation of family history, complexity of risk calculation and model selection, and lack of awareness. We have established a high risk breast cancer assessment program using a computer-based real time risk calculation at time of screening mammography. Objectives were to facilitate identification of high risk patients needing genetic counseling/testing and MRI breast screening. Methods: Beginning 11/23/2010, prior to screening mammogram all patients completed a self reported risk assessment using a wireless tablet. With real time risk calculation for risk of genetic mutation (Myriad and BRCAPRO models) as well as life time risk of breast cancer (Gail, Claus, Tyrer-Cuzick, and BRCAPRO models) using HughesRiskApps patients were categorized into high risk ( ≥ 10% gene mutation risk or ≥ 20% life time breast cancer risk) or average risk groups and received a risk assessment letter. The risk data was integrated into mammography information system (Penrad) simultaneously. High risk patients were contacted by a coordinator to facilitate high risk clinic evaluation. Results: As of June 30, 2012, 24,213 patients without a cancer history completed HRA; 2,196 patients (9.1%) have been identified as high risk- for genetic mutation 1,051 pts, (4.3%), life time risk 1,570 pts, (6.5%), and both risks 425 pt, (1.8%). 416 patients (18.9%) of those high risk patients have been evaluated in the high risk clinic. 231 patients have been evaluated by genetic counselor and 97 have had genetic testing and 9 with positive results (9.3%). Yearly screening breast MRI has been recommended to 254 patients. Conclusions: We have successfully implemented breast cancer risk assessment through screening mammography service. Results suggest that 9.1% of our patients can benefit from high risk clinic assessment and 4.3% should have consideration for gene mutation testing. 6.5% of our patients may benefit from screening breast MRI. We strive to improve the number of patients who proceed with high risk clinic assessment by education of our patients regarding benefits of screening and risk reducing strategies.

scholarly journals SNPs for breast cancer risk assessment

Oncotarget ◽  
2017 ◽  
Vol 8 (59) ◽  
pp. 99211-99212 ◽  
Author(s):  
Jack Cuzick ◽  
Adam Brentnall ◽  
Mitchell Dowsett
Keyword(s):  
Breast Cancer ◽  
Risk Assessment ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cancer Risk Assessment ◽  
Breast Cancer Risk Assessment

scholarly journals Bayesian joint ordinal and survival modeling for breast cancer risk assessment

2016 ◽  
Vol 35 (28) ◽  
pp. 5267-5282 ◽  
Author(s):  
C. Armero ◽  
C. Forné ◽  
M. Rué ◽  
A. Forte ◽  
H. Perpiñán ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Assessment ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cancer Risk Assessment ◽  
Breast Cancer Risk Assessment ◽  
Survival Modeling

scholarly journals Commentary ACOG Practice Bulletin July 2017: Breast Cancer Risk Assessment and Screening in Average-Risk Women

2018 ◽  
Vol 91 (1090) ◽  
pp. 20170907 ◽  
Author(s):  
Victoria Mango ◽  
Yolanda Bryce ◽  
Elizabeth Anne Morris ◽  
Elisabetta Gianotti ◽  
Katja Pinker
Keyword(s):  
Breast Cancer ◽  
Risk Assessment ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cancer Risk Assessment ◽  
Average Risk ◽  
Breast Cancer Risk Assessment
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