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Carolina Mammography Registry

Bonnie Yankaskas, Associate Professor Of Radiology
Radiologyuniversity Of North Carolina Chapel Hill

Grant 5U01CA070040-14 from National Cancer Institute, IRG: ZCA1

Abstract: This proposal is in response to RFA CA-05-502 from the National cancer Institute, to support continued building and maintenance of the infrastructure that has become the Carolina Mammography Registry (CMR), as part of the Breast Cancer Surveillance Consortium (BCSC). The BCSC is a collaborative network of seven mammography registries with linkages to pathology and tumor registries. We propose to continue the work of CMR for a region of North Carolina. Prospective practice-based data will be collected directly from women and professionals in mammography facilities including demographic data, breast history data, family history, hormone use, reason for and findings on the screening mammogram, data on other imaging studies necessary to resolve the screening assessment, and recommendations for follow-up. The pathology data will be collected prospectively from several sources including directly from mammography facilities, from a rapid case reporting system and annual complete electronic download of all breast cancer records from the NC Central Cancer Registry. With the addition of informed consent, and the ability to do special surveys, CMR will be able to contribute data to enhance the ability to study screening, diagnosis, treatment and survival for breast cancer. The data in CMR represents the diversity of the population of North Carolina and the diversity of the mammography facilities. All data will be shared with the Statistical Coordinating Center of the (BCSC) for pooled analyses by the investigators of the Registries comprising BCSC and outside investigators. Efforts will be made to increase the visibility of both CMR and the BCSC in North Carolina, to enhance use of the data for research, planning and education

Keywords: breast neoplasm, breast neoplasm /cancer diagnosis, cancer registry /resource, community health service, mammography, mass screening Native American, cancer risk, cooperative study, data collection methodology /evaluation, diagnosis quality /standard, neoplasm /cancer therapy, outcomes research, public health, women`s health United States, behavioral /social science research tag, bioimaging /biomedical imaging, clinical research, female, health services research tag, human subject

Project start date: 1997-08-01

Project end date: 2010-07-31


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Carolina Mammography Registry

Bonnie Yankaskas, Associate Professor Of Radiology
University Of North Carolina Chapel Hill Office Of Sponsored Research Chapel Hill, Nc 27599

Grant 5U01CA070040-13 from National Cancer Institute, IRG: ZCA1

Abstract: This proposal is in response to RFA CA-05-502 from the National cancer Institute, to support continued building and maintenance of the infrastructure that has become the Carolina Mammography Registry (CMR), as part of the Breast Cancer Surveillance Consortium (BCSC). The BCSC is a collaborative network of seven mammography registries with linkages to pathology and tumor registries. We propose to continue the work of CMR for a region of North Carolina. Prospective practice-based data will be collected directly from women and professionals in mammography facilities including demographic data, breast history data, family history, hormone use, reason for and findings on the screening mammogram, data on other imaging studies necessary to resolve the screening assessment, and recommendations for follow-up. The pathology data will be collected prospectively from several sources including directly from mammography facilities, from a rapid case reporting system and annual complete electronic download of all breast cancer records from the NC Central Cancer Registry. With the addition of informed consent, and the ability to do special surveys, CMR will be able to contribute data to enhance the ability to study screening, diagnosis, treatment and survival for breast cancer. The data in CMR represents the diversity of the population of North Carolina and the diversity of the mammography facilities. All data will be shared with the Statistical Coordinating Center of the (BCSC) for pooled analyses by the investigators of the Registries comprising BCSC and outside investigators. Efforts will be made to increase the visibility of both CMR and the BCSC in North Carolina, to enhance use of the data for research, planning and education.

Keywords: breast neoplasm, breast neoplasm /cancer diagnosis, cancer registry /resource, community health service, mammography, mass screening, Native American, cancer risk, cooperative study, data collection methodology /evaluation, diagnosis quality /standard, neoplasm /cancer therapy, outcomes research, public health, women s health, United States, behavioral /social science research tag, bioimaging /biomedical imaging, clinical research, female, health services research tag, human subject

Project start date: 1997-08-01

Project end date: 2010-07-31

5U01CA070040-13 (2007): $450156



Grants awarded to Bonnie Yankaskas

Carolina Mammography Registry

Bonnie Yankaskas, Associate Professor Of Radiology
Radiologyuniversity Of North Carolina Chapel Hill

Grant 5U01CA070040-14 from National Cancer Institute, IRG: ZCA1

Abstract: This proposal is in response to RFA CA-05-502 from the National cancer Institute, to support continued building and maintenance of the infrastructure that has become the Carolina Mammography Registry (CMR), as part of the Breast Cancer Surveillance Consortium (BCSC). The BCSC is a collaborative network of seven mammography registries with linkages to pathology and tumor registries. We propose to continue the work of CMR for a region of North Carolina. Prospective practice-based data will be collected directly from women and professionals in mammography facilities including demographic data, breast history data, family history, hormone use, reason for and findings on the screening mammogram, data on other imaging studies necessary to resolve the screening assessment, and recommendations for follow-up. The pathology data will be collected prospectively from several sources including directly from mammography facilities, from a rapid case reporting system and annual complete electronic download of all breast cancer records from the NC Central Cancer Registry. With the addition of informed consent, and the ability to do special surveys, CMR will be able to contribute data to enhance the ability to study screening, diagnosis, treatment and survival for breast cancer. The data in CMR represents the diversity of the population of North Carolina and the diversity of the mammography facilities. All data will be shared with the Statistical Coordinating Center of the (BCSC) for pooled analyses by the investigators of the Registries comprising BCSC and outside investigators. Efforts will be made to increase the visibility of both CMR and the BCSC in North Carolina, to enhance use of the data for research, planning and education

Keywords: breast neoplasm, breast neoplasm /cancer diagnosis, cancer registry /resource, community health service, mammography, mass screening Native American, cancer risk, cooperative study, data collection methodology /evaluation, diagnosis quality /standard, neoplasm /cancer therapy, outcomes research, public health, women`s health United States, behavioral /social science research tag, bioimaging /biomedical imaging, clinical research, female, health services research tag, human subject

Project start date: 1997-08-01

Project end date: 2010-07-31


Evaluation Of False Positive Mammography In Community Practice

Bonnie Yankaskas, Associate Professor Of Radiology
Radiologyuniversity Of North Carolina Chapel Hill

Grant 5R01CA118698-03 from National Cancer Institute, IRG: HSOD

Abstract: In community practice in the U.S., data have shown that around 90% of abnormal screening mammograms do not end in a cancer diagnosis, or are false positive (FP). The long term goal of this project is to reduce FP results in screening mammography, both to reduce the burden of extra unnecessary imaging work-ups and unnecessary biopsies. Our specific aims are to 1) identify the characteristics of women, mammographic examinations, radiologists and practices that discriminate a FP from a TP mammogram; and 2) identify the descriptive characteristics of abnormalities seen on mammograms that will improve the ability to discriminate a FP from TP mammography result when added to the findings of Aim 1. This study will use the infrastructure of the Carolina Mammography Registry (CMR), a population-based registry that collects prospective data on women and mammography examinations in mammography facilities in North Carolina. Data routinely collected by CMR that can be used for this study include demographic and health history on the women and the results and recommendations from imaging studies performed in the screening work-up. Mammography data are linked to cancer outcome data from the NC Central Cancer Registry and pathology laboratories, providing outcome data form the screening work-up. An active review of the films of positive mammograms identified from CMR will be conducted by outside reviewers, to classify the findings on the mammograms in a standardized way. The routinely collected CMR data will be combined with the descriptive data from the film review to test the ability to discriminate a FP from TP result, using GEE logistic analyses. In addition, other variables that could affect the prediction of a FP or TP that will be used in analyses include mammography practice procedures; radiologist characteristics; and practice setting and type. The goal is to be improve the ability to identify false positive results, to ultimately reduce recall rates, increase positive predictive value, without a decrease in cancer detection rates. Work that has the potential to reduce the extra imaging studies and procedures that women experience in screening for breast cancer would go a long way toward making screening mammography more cost effective in terms of the monetary, physical and psychological costs to women, and the economic costs to the health care system

Keywords: community, mammography base, biopsy, breast neoplasm, cancer registry /resource, emotion, experience, health, health /scientific organization, health care, health science profession, literature survey, neoplasm /cancer, neoplasm /cancer diagnosis, pathology, radiology, stress clinical research

Project start date: 2006-08-10

Project end date: 2009-07-31


5R01CA118698-02 (2007): $199681


Related Publications

Goldman LE, Haneuse SJ, Miglioretti DL, Kerlikowske K, Buist DS, Yankaskas B, Smith-Bindman R; National Cancer Institute Sponsored Breast Cancer Surveillance Consortium.
Abstract An assessment of the quality of mammography care at facilities treating medically vulnerable populations. Med Care. 2008 Jul; 46( 7): 701-8. PMID: 18580389

Aiello Bowles EJ, Miglioretti DL, Sickles EA, Abraham L, Carney PA, Yankaskas BC, Elmore JG.
Abstract Accuracy of short-interval follow-up mammograms by patient and radiologist characteristics. AJR Am J Roentgenol. 2008 May; 190( 5): 1200-8. PMID: 18430832

Parsons AM, Ennis EK, Yankaskas BC, Parker LA Jr, Hyslop WB, Detterbeck FC.
Abstract Helical computed tomography inaccuracy in the detection of pulmonary metastases: can it be improved? Ann Thorac Surg. 2007 Dec; 84( 6): 1830-6. PMID: 18036893

Schell MJ, Yankaskas BC, Ballard-Barbash R, Qaqish BF, Barlow WE, Rosenberg RD, Smith-Bindman R.
Free Full Text Evidence-based target recall rates for screening mammography. Radiology. 2007 Jun; 243( 3): 681-9. PMID: 17517927

Kerlikowske K, Ichikawa L, Miglioretti DL, Buist DS, Vacek PM, Smith-Bindman R, Yankaskas B, Carney PA, Ballard-Barbash R; National Institutes of Health Breast Cancer Surveillance Consortium.
Free Full Text Longitudinal measurement of clinical mammographic breast density to improve estimation of breast cancer risk. J Natl Cancer Inst. 2007 Mar 7; 99( 5): 386-95. PMID: 17341730

Davis SD, Fordham LA, Brody AS, Noah TL, Retsch-Bogart GZ, Qaqish BF, Yankaskas BC, Johnson RC, Leigh MW.
Free Full Text Computed tomography reflects lower airway inflammation and tracks changes in early cystic fibrosis. Am J Respir Crit Care Med. 2007 May 1; 175( 9): 943-50. Epub 2007 Feb 15. PMID: 17303797

Geller BM, Ichikawa LE, Buist DS, Sickles EA, Carney PA, Yankaskas BC, Dignan M, Kerlikowske K, Yabroff KR, Barlow W, Rosenberg RD; Breast Cancer Surveillance Consortium.
Free Full Text Improving the concordance of mammography assessment and management recommendations. Radiology. 2006 Oct; 241( 1): 67-75. PMID: 16990672

Rosenberg RD, Yankaskas BC, Abraham LA, Sickles EA, Lehman CD, Geller BM, Carney PA, Kerlikowske K, Buist DS, Weaver DL, Barlow WE, Ballard-Barbash R.
Free Full Text Performance benchmarks for screening mammography. Radiology. 2006 Oct; 241( 1): 55-66. PMID: 16990671

Barlow WE, White E, Ballard-Barbash R, Vacek PM, Titus-Ernstoff L, Carney PA, Tice JA, Buist DS, Geller BM, Rosenberg R, Yankaskas BC, Kerlikowske K.
Free Full Text Prospective breast cancer risk prediction model for women undergoing screening mammography. J Natl Cancer Inst. 2006 Sep 6; 98( 17): 1204-14. PMID: 16954473

Yankaskas BC.
Abstract Epidemiology of breast cancer in young women. Breast Dis. 2005-2006; 23: 3-8. Review. PMID: 16823161

Alexander MC, Yankaskas BC, Biesemier KW.
Free Full Text Association of stellate mammographic pattern with survival in small invasive breast tumors. AJR Am J Roentgenol. 2006 Jul; 187( 1): 29-37. PMID: 16794151

Bulliard JL, Sasieni P, Klabunde C, De Landtsheer JP, Yankaskas BC, Fracheboud J.
Abstract Methodological issues in international comparison of interval breast cancers. Int J Cancer. 2006 Sep 1; 119( 5): 1158-63. PMID: 16570280

Krishnaraj A, Yankaskas BC, Stearns SC.
Abstract Screening mammography after breast cancer treatment: patterns in community practice. Breast Cancer Res Treat. 2006 May; 97( 1): 73-80. PMID: 16331348

Yankaskas BC, Gill KS.
Free Full Text Diagnostic mammography performance and race: outcomes in Black and White women. Cancer. 2005 Dec 15; 104( 12): 2671-81. PMID: 16288489

Sickles EA, Miglioretti DL, Ballard-Barbash R, Geller BM, Leung JW, Rosenberg RD, Smith-Bindman R, Yankaskas BC.
Free Full Text Performance benchmarks for diagnostic mammography. Radiology. 2005 Jun; 235( 3): 775-90. PMID: 15914475

Kerlikowske K, Smith-Bindman R, Abraham LA, Lehman CD, Yankaskas BC, Ballard-Barbash R, Barlow WE, Voeks JH, Geller BM, Carney PA, Sickles EA.
Free Full Text Breast cancer yield for screening mammographic examinations with recommendation for short-interval follow-up. Radiology. 2005 Mar; 234( 3): 684-92. PMID: 15734926

Yankaskas BC, Taplin SH, Ichikawa L, Geller BM, Rosenberg RD, Carney PA, Kerlikowske K, Ballard-Barbash R, Cutter GR, Barlow WE.
Free Full Text Association between mammography timing and measures of screening performance in the United States. Radiology. 2005 Feb; 234( 2): 363-73. PMID: 15670994

White E, Miglioretti DL, Yankaskas BC, Geller BM, Rosenberg RD, Kerlikowske K, Saba L, Vacek PM, Carney PA, Buist DS, Oestreicher N, Barlow W, Ballard-Barbash R, Taplin SH.
Free Full Text Biennial versus annual mammography and the risk of late-stage breast cancer. J Natl Cancer Inst. 2004 Dec 15; 96( 24): 1832-9. PMID: 15601639

Yankaskas BC, Schell MJ, Miglioretti DL.
Free Full Text Recall and detection rates in screening mammography. Cancer. 2004 Dec 1; 101( 11): 2710-1; author reply 2711-2. No abstract available. PMID: 15499596

Miglioretti DL, Rutter CM, Geller BM, Cutter G, Barlow WE, Rosenberg R, Weaver DL, Taplin SH, Ballard-Barbash R, Carney PA, Yankaskas BC, Kerlikowske K.
Free Full Text Effect of breast augmentation on the accuracy of mammography and cancer characteristics. JAMA. 2004 Jan 28; 291( 4): 442-50. PMID: 14747501