) The specific aims of this research are: 1) To compare mammography screening practice, clinical management, and screening outcomes for the women over age 40 in the 24 county population with special reference to differences in Black versus White, urban versus rural, <50 versus >50, and the subset of women receiving mammography funded through the BCCCP versus the general population of screened women for the years 1995-2000; and 2) To describe the distribution and mammographic characteristics of benign pathology by race, age, and other characteristics to raise hypotheses for further research. Two additional projects are proposed based on the identification of interval and screen detected cancers in this population.
The specific aims of these projects are: 1) to assess the image quality of the mammograms of interval cancers compared to screen detected cancers; and 2) to compare the histochemical characteristics of interval versus screen detected cancers. The creation of a population based mammography registry in 24 counties in eastern North Carolina. a population that has a high proportion of Black and rural women, gives us the opportunity to do breast cancer surveillance research using the data collected from 79 mammographic practices in this area. This data is linked to a population based pathology database, and the North Carolina Central Cancer Registry (NC CCR). Analyses will be conducted on the population accrued by the Carolina Mammography Registry for the time period January 1995 through December 2000. Women will be enumerated beginning with their screening mammogram, and their outcomes will be determined through two mechanisms: 1) radiologic follow up from registry linked data; and 2) follow up efforts aimed at the referring physicians. Chi square analyses will be carried out testing proportional data; t tests will be used for comparisons of means; and logistic regression analyses will be carried out when appropriate.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
1U01CA070040-01
Application #
3731867
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
1
Fiscal Year
1995
Total Cost
Indirect Cost
Name
University of North Carolina Chapel Hill
Department
Type
DUNS #
078861598
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Puvanesarajah, Samantha; Nyante, Sarah J; Kuzmiak, Cherie M et al. (2018) PAM50 and Risk of Recurrence Scores for Interval Breast Cancers. Cancer Prev Res (Phila) 11:327-336
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
Nyante, Sarah J; Lee, Sheila S; Benefield, Thad S et al. (2017) The association between mammographic calcifications and breast cancer prognostic factors in a population-based registry cohort. Cancer 123:219-227
Durham, Danielle D; Robinson, Whitney R; Lee, Sheila S et al. (2016) Insurance-Based Differences in Time to Diagnostic Follow-up after Positive Screening Mammography. Cancer Epidemiol Biomarkers Prev 25:1474-1482
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
Henderson, Louise M; Benefield, Thad; Marsh, Mary W et al. (2015) The influence of mammographic technologists on radiologists' ability to interpret screening mammograms in community practice. Acad Radiol 22:278-89
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:
Henderson, Louise M; Marsh, Mary W; Benefield, Thad et al. (2015) Characterizing the Mammography Technologist Workforce in North Carolina. J Am Coll Radiol 12:1419-26
Henderson, Louise M; Benefield, Thad; Bowling, J Michael et al. (2015) Do mammographic technologists affect radiologists' diagnostic mammography interpretative performance? AJR Am J Roentgenol 204:903-8

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