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Bonnie C. Yankaskas
Researcher at University of North Carolina at Chapel Hill
Publications - 79
Citations - 7533
Bonnie C. Yankaskas is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Mammography & Breast cancer. The author has an hindex of 38, co-authored 79 publications receiving 6992 citations. Previous affiliations of Bonnie C. Yankaskas include University of Washington.
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Journal ArticleDOI
Individual and combined effects of age, breast density, and hormone replacement therapy use on the accuracy of screening mammography.
Patricia A. Carney,Diana L. Miglioretti,Bonnie C. Yankaskas,Karla Kerlikowske,Robert D. Rosenberg,Carolyn M. Rutter,Berta M. Geller,Linn Abraham,Steven H. Taplin,Mark Dignan,Gary Cutter,Rachel Ballard-Barbash +11 more
TL;DR: The accuracy of screening mammography is best in older women and in women with fatty breasts, and the individual and combined effects of age, breast density, and HRT use on mammographic accuracy are examined.
Journal ArticleDOI
Detection of Ductal Carcinoma In Situ in Women Undergoing Screening Mammography
Virginia L. Ernster,Rachel Ballard-Barbash,William E. Barlow,William E. Barlow,Yingye Zheng,Donald L. Weaver,Gary Cutter,Bonnie C. Yankaskas,Robert D. Rosenberg,Patricia A. Carney,Karla Kerlikowske,Stephen H. Taplin,Nicole Urban,Berta M. Geller +13 more
TL;DR: Overall, approximately 1 in every 1300 screening mammography examinations leads to a diagnosis of DCIS, and the clinical significance of screen-detected DCIS needs further investigation.
Proceedings ArticleDOI
Contrast-limited adaptive histogram equalization: speed and effectiveness
TL;DR: It is shown that CLAHE can be computed in 4 s after 5-s loading time using the specially designed parallel engine made from a few thousand dollars worth of off-the-shelf components.
Journal ArticleDOI
Prospective Breast Cancer Risk Prediction Model for Women Undergoing Screening Mammography
William E. Barlow,Emily White,Rachel Ballard-Barbash,Pamela M. Vacek,Linda Titus-Ernstoff,Patricia A. Carney,Jeffrey A. Tice,Diana S. M. Buist,Diana S. M. Buist,Berta M. Geller,Robert D. Rosenberg,Bonnie C. Yankaskas,Karla Kerlikowske +12 more
TL;DR: The model may identify high-risk women better than the Gail model, although predictive accuracy was only moderate and may be able to identify women at high risk for breast cancer for preventive interventions or more intensive surveillance.
Journal ArticleDOI
Breast Cancer Surveillance Consortium: a national mammography screening and outcomes database.
Rachel Ballard-Barbash,Stephen H. Taplin,Bonnie C. Yankaskas,Virginia L. Ernster,Robert D. Rosenberg,Patricia A. Carney,William E. Barlow,Berta M. Geller,Karla Kerlikowske,Brenda K. Edwards,Charles F. Lynch,Nicole Urban,Carole A. Chrvala,Carole A. Chrvala,Charles R. Key,Steven P. Poplack,John K. Worden,Larry G. Kessler,Larry G. Kessler +18 more
TL;DR: Screening effectiveness in community practice today could exceed that estimated in trials because the technical and interpretative quality of mammography has improved since the trials were performed and the level of efficacy in trials may not pertain to community practice.