|Grant Number:||5P01CA154292-03 Interpret this number|
|Primary Investigator:||Miglioretti, Diana|
|Organization:||Group Health Cooperative|
|Project Title:||Risk-Based Breast Cancer Screening in Community Settings|
The program theme is to identify effective breast cancer screening strategies for women with diverse levels of breast cancer risk to maximize screening benefits while minimizing potential harms. Program aims follow the premise that breast cancer screening will be most effective when: guidelines are based on accurate risk estimates that are tied to the effectiveness and harms of screening tests; women and physicians are informed about screening test performance based on risk level; risk-based screening practices are equitable; and high-quality comparative effectiveness research results are disseminated into community practice. Program goals will be met through three complementary research projects and three shared resource cores. Project 1, Risk Assessment in Community Practice: Developing Better Models, will improve prediction of breast cancer and breast cancer subtypes among women of varying ages and race/ethnicity and evaluate whether predicted risk can be used to optimize screening outcomes. Project 2, Comparative Effectiveness of Imaging Strategies for Breast Cancer Screening in Community Practice, will characterize the performance of advanced imaging technologies and screening strategies according to age, race/ethnicity, breast density, and overall breast cancer risk. Project 3, Community-based Utilization of Breast Imaging Technologies, will assess risk-based screening in diverse populations and identify disparities in access and use of new technologies. The Administrative Core will support logistical requirements and facilitate communication and data sharing. The Biostatistics and Data Management Core will coordinate data collection, management, and analysis and will develop statistical methods. The Comparative Effectiveness Core will use simulation modeling to estimate long-term implications of different screening practices on population health. The program represents an integrated effort to improve screening with the overall aim of averting deaths from breast cancer while minimizing harms.
Aggregate cost of mammography screening in the United States: comparison of current practice and advocated guidelines.
Authors: O'Donoghue C, Eklund M, Ozanne EM, Esserman LJ
Source: Ann Intern Med, 2014 Feb 4;160(3), p. 145.
Addressing the challenge of assessing physician-level screening performance: mammography as an example.
Authors: Burnside ES, Lin Y, Munoz del Rio A, Pickhardt PJ, Wu Y, Strigel RM, Elezaby MA, Kerr EA, Miglioretti DL
Source: PLoS One, 2014;9(2), p. e89418.
EPub date: 2014 Feb 21.
Agreement of mammographic measures of volumetric breast density to MRI.
Authors: Wang J, Azziz A, Fan B, Malkov S, Klifa C, Newitt D, Yitta S, Hylton N, Kerlikowske K, Shepherd JA
Source: PLoS One, 2013;8(12), p. e81653.
EPub date: 2013 Dec 4.
Patterns of breast magnetic resonance imaging use in community practice.
Authors: Wernli KJ, DeMartini WB, Ichikawa L, Lehman CD, Onega T, Kerlikowske K, Henderson LM, Geller BM, Hofmann M, Yankaskas BC, Breast Cancer Surveillance Consortium
Source: JAMA Intern Med, 2014 Jan;174(1), p. 125-32.
Registry-based study of trends in breast cancer screening mammography before and after the 2009 U.S. Preventive Services Task Force recommendations.
Authors: Sprague BL, Bolton KC, Mace JL, Herschorn SD, James TA, Vacek PM, Weaver DL, Geller BM
Source: Radiology, 2014 Feb;270(2), p. 354-61.
EPub date: 2013 Oct 28.
Mammographic screening interval in relation to tumor characteristics and false-positive risk by race/ethnicity and age.
Authors: O'Meara ES, Zhu W, Hubbard RA, Braithwaite D, Kerlikowske K, Dittus KL, Geller B, Wernli KJ, Miglioretti DL
Source: Cancer, 2013 Nov 15;119(22), p. 3959-67.
EPub date: 2013 Aug 26.
Impact of mammography screening interval on breast cancer diagnosis by menopausal status and BMI.
Authors: Dittus K, Geller B, Weaver DL, Kerlikowske K, Zhu W, Hubbard R, Braithwaite D, O'Meara ES, Miglioretti DL, Breast Cancer Surveillance Consortium
Source: J Gen Intern Med, 2013 Nov;28(11), p. 1454-62.
EPub date: 2013 Jun 13.
Benign breast disease, mammographic breast density, and the risk of breast cancer.
Authors: Tice JA, O'Meara ES, Weaver DL, Vachon C, Ballard-Barbash R, Kerlikowske K
Source: J Natl Cancer Inst, 2013 Jul 17;105(14), p. 1043-9.
EPub date: 2013 Jun 6.
Influence of study features and methods on overdiagnosis estimates in breast and prostate cancer screening.
Authors: Etzioni R, Gulati R, Mallinger L, Mandelblatt J
Source: Ann Intern Med, 2013 Jun 4;158(11), p. 831-8.
To screen or not to screen older women for breast cancer: a conundrum.
Authors: Braithwaite D, Mandelblatt JS, Kerlikowske K
Source: Future Oncol, 2013 Jun;9(6), p. 763-6.
Which strategies reduce breast cancer mortality most? Collaborative modeling of optimal screening, treatment, and obesity prevention.
Authors: Mandelblatt J, van Ravesteyn N, Schechter C, Chang Y, Huang AT, Near AM, de Koning H, Jemal A
Source: Cancer, 2013 Jul 15;119(14), p. 2541-8.
EPub date: 2013 Apr 26.
Outcomes of screening mammography by frequency, breast density, and postmenopausal hormone therapy.
Authors: Kerlikowske K, Zhu W, Hubbard RA, Geller B, Dittus K, Braithwaite D, Wernli KJ, Miglioretti DL, O'Meara ES, Breast Cancer Surveillance Consortium
Source: JAMA Intern Med, 2013 May 13;173(9), p. 807-16.
Screening outcomes in older US women undergoing multiple mammograms in community practice: does interval, age, or comorbidity score affect tumor characteristics or false positive rates?
Authors: Braithwaite D, Zhu W, Hubbard RA, O'Meara ES, Miglioretti DL, Geller B, Dittus K, Moore D, Wernli KJ, Mandelblatt J, Kerlikowske K, Breast Cancer Surveillance Consortium
Source: J Natl Cancer Inst, 2013 Mar 6;105(5), p. 334-41.
EPub date: 2013 Feb 5.
Costs, evidence, and value in the Medicare program: the challenges of technology innovation in breast cancer prevention and control.
Authors: Mandelblatt JS, Tosteson AN, van Ravesteyn NT
Source: JAMA Intern Med, 2013 Feb 11;173(3), p. 227-8.
Collaborative modeling of the impact of obesity on race-specific breast cancer incidence and mortality.
Authors: Chang Y, Schechter CB, van Ravesteyn NT, Near AM, Heijnsdijk EA, Adams-Campbell L, Levy D, de Koning HJ, Mandelblatt JS
Source: Breast Cancer Res Treat, 2012 Dec;136(3), p. 823-35.
EPub date: 2012 Oct 27.