The Statistical Coordinating Center's (SCC) primary functions are to support the collection and analysis of data for the Breast Cancer Surveillance Consortium, develop and implement new statistical methodology that will characterize the process of mammography, and provide scientific guidance in the development of publications. The major goals of the Consortium are to provide population-based information on the performance of breast cancer screening in the community, improve the process of tumor detection, examine the role of practice patterns and biological factors on outcomes, and evaluate the efficacy of mammography in reducing breast cancer morbidity and mortality. In the last four years the SCC has established a standardized data collection system, constructed standardized questions, analyzed 1.5 million mammograms for inclusion in three papers underway, and assessed reader variability in interpretation of mammograms. In the next five years, the SCC will do the following: (1) Implement methods that continue to improve comparability of data across sites by improving quality control and maintaining standardized data collection instruments; (2) Maintain a data management system that facilitates pooled analyses and rapid development of new projects; (3) Conduct analyses of the outcomes of screening and symptomatic mammography to identify predictors and sources of variation across sites; (4) Develop statistical methods that allow for modeling of hierarchical, longitudinal data with covariates at the site, radiologist, or woman level; (5) Develop methods to evaluate the efficacy of the BIRADS 0 (incomplete) on outcomes; (6) Evaluate accuracy in a population undergoing repeat mammography; and (7) Provide scientific leadership and dissemination by maintaining a Consortium Web page, conducting annual meetings of the Data Managers and Statisticians, conducting site visits, and participating in the scientific leadership by developing proposals, conducting analyses, and publishing the results.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01CA086076-03
Application #
6514500
Study Section
Special Emphasis Panel (ZCA1-SRRB-5 (J1))
Program Officer
Ballard-Barbash, Rachel
Project Start
2000-05-10
Project End
2005-03-31
Budget Start
2002-04-01
Budget End
2003-03-31
Support Year
3
Fiscal Year
2002
Total Cost
$710,370
Indirect Cost
Name
Center for Health Studies
Department
Type
DUNS #
078198520
City
Seattle
State
WA
Country
United States
Zip Code
98101
Miglioretti, Diana L; Ichikawa, Laura; Smith, Robert A et al. (2017) Correlation Between Screening Mammography Interpretive Performance on a Test Set and Performance in Clinical Practice. Acad Radiol 24:1256-1264
Fenton, Joshua J; Onega, Tracy; Zhu, Weiwei et al. (2016) Validation of a Medicare Claims-based Algorithm for Identifying Breast Cancers Detected at Screening Mammography. Med Care 54:e15-22
Wolf, Max; Krause, Jens; Carney, Patricia A et al. (2015) Collective intelligence meets medical decision-making: the collective outperforms the best radiologist. PLoS One 10:e0134269
van Ravesteyn, Nicolien T; Stout, Natasha K; Schechter, Clyde B et al. (2015) Benefits and harms of mammography screening after age 74 years: model estimates of overdiagnosis. J Natl Cancer Inst 107:
Gard, Charlotte C; Aiello Bowles, Erin J; Miglioretti, Diana L et al. (2015) Misclassification of Breast Imaging Reporting and Data System (BI-RADS) Mammographic Density and Implications for Breast Density Reporting Legislation. Breast J 21:481-9
Lynge, Elsebeth; Ponti, Antonio; James, Ted et al. (2014) Variation in detection of ductal carcinoma in situ during screening mammography: a survey within the International Cancer Screening Network. Eur J Cancer 50:185-92
Menes, Tehillah S; Rosenberg, Robert; Balch, Steven et al. (2014) Upgrade of high-risk breast lesions detected on mammography in the Breast Cancer Surveillance Consortium. Am J Surg 207:24-31
Geller, Berta M; Bogart, Andy; Carney, Patricia A et al. (2014) Educational interventions to improve screening mammography interpretation: a randomized controlled trial. AJR Am J Roentgenol 202:W586-96
Wernli, Karen J; O'Meara, Ellen S; Kerlikowske, Karla et al. (2014) Investigation of mammographic breast density as a risk factor for ovarian cancer. J Natl Cancer Inst 106:djt341
Trentham-Dietz, Amy; Sprague, Brian L; Hampton, John M et al. (2014) Modification of breast cancer risk according to age and menopausal status: a combined analysis of five population-based case-control studies. Breast Cancer Res Treat 145:165-75

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