Minority Health Archive

Consensus recommendations for advancing breast cancer: risk identification and screening in ethnically diverse younger women.

Stojadinovic, Alexander and Summers, Thomas A and Eberhardt, John and Cerussi, Albert and Grundfest, Warren and Peterson, Charles M and Brazaitis, Michael and Krupinski, Elizabeth and Freeman, Harold (2011) Consensus recommendations for advancing breast cancer: risk identification and screening in ethnically diverse younger women. Journal of Cancer, 2. pp. 210-227. ISSN 1837-9664

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A need exists for a breast cancer risk identification paradigm that utilizes relevant demographic, clinical, and other readily obtainable patient-specific data in order to provide individualized cancer risk assessment, direct screening efforts, and detect breast cancer at an early disease stage in historically underserved populations, such as younger women (under age 40) and minority populations, who represent a disproportionate number of military beneficiaries. Recognizing this unique need for military beneficiaries, a consensus panel was convened by the USA TATRC to review available evidence for individualized breast cancer risk assessment and screening in young (< 40), ethnically diverse women with an overall goal of improving care for military beneficiaries. In the process of review and discussion, it was determined to publish our findings as the panel believes that our recommendations have the potential to reduce health disparities in risk assessment, health promotion, disease prevention, and early cancer detection within and in other underserved populations outside of the military. This paper aims to provide clinicians with an overview of the clinical factors, evidence and recommendations that are being used to advance risk assessment and screening for breast cancer in the military.

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Item Type: Article
Additional Information: This article is available at the publisher’s Web site. Access to the full text is subject to the publisher’s access restrictions.
Uncontrolled Keywords: breast cancer, screening, personalized medicine, mammography, Bayesian Belief Networks, machine learning, Gail model, risk assessment
Subjects: Health > Public Health > Chronic Illness & Diseases > Cancer
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Depositing User: Users 141 not found.
Date Deposited: 18 Aug 2011 14:12
Last Modified: 18 Aug 2011 14:12
Link to this item (URI): http://health-equity.lib.umd.edu/id/eprint/3101

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