The ultimate value of diagnostic technology is its capacity to improve patient outcomes by leading to improved management decisions and care. Thus, assessment of diagnostic tests requires evaluation not only of diagnostic performance, but also determination of the incremental diagnostic information provided and the impact of this information on resulting interventions and relevant patient outcomes. The primary objective of this project is to estimate the lifetime incremental clinical and cost-effectiveness (assessed using discounted direct medical expenditures) and cost-utility (incremental cost per additional quality- adjusted life years [QALYs]) associated with the selected use of new breast imaging modalities in screening women at high breast cancer risk (strong family history, BRCA1/2 mutation, contralateral breast cancer), with evaluation of suspicious but non-diagnostic findings on standard screening mammogram and classification/staging of newly diagnosed breast cancer. Two separate but closely linked sets of analyses will be conducted: (1) a set of clinical decision analyses will guide individual patient-level decision making; and (2) a set of cost-effectiveness analyses will guide policy decision making. Model results also will guide the selection of test interpretation operating points for the new modalities evaluated in Projects 1-3. As more expensive new technologies that may improve diagnosis, management and health outcomes of women with breast cancer, breast imaging modalities are ideal candidates for such analysis. The clinical and cost-effectiveness analyses will provide timely assessment of the incremental clinical value and cost-effectiveness of new breast imaging modalities in improving health outcomes, survival and quality adjusted survival, using the estimates of diagnostic performance assessed in Projects 1-3. The results of the proposed clinical and cost-effectiveness analyses will help inform clinicians, patients, insurers and policy makers. Model results will provide the information necessary to help guide use of these and other new breast imaging modalities to maximize the health of individuals and populations, given budget constraints and demands for and opportunities of competing health care interventions.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
1P01CA085424-01A2
Application #
6507770
Study Section
Subcommittee E - Prevention &Control (NCI)
Project Start
2001-09-17
Project End
2006-08-31
Budget Start
Budget End
Support Year
1
Fiscal Year
2001
Total Cost
Indirect Cost
Name
University of Pennsylvania
Department
Type
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Wu, Shandong; Weinstein, Susan; Kontos, Despina (2012) Atlas-based probabilistic fibroglandular tissue segmentation in breast MRI. Med Image Comput Comput Assist Interv 15:437-45
Kontos, Despina; Ikejimba, Lynda C; Bakic, Predrag R et al. (2011) Analysis of parenchymal texture with digital breast tomosynthesis: comparison with digital mammography and implications for cancer risk assessment. Radiology 261:80-91
Mavi, Ayse; Cermik, Tevfik F; Urhan, Muammer et al. (2010) The effect of age, menopausal state, and breast density on (18)F-FDG uptake in normal glandular breast tissue. J Nucl Med 51:347-52
Tchou, Julia; Sonnad, Seema S; Bergey, Meredith R et al. (2010) Degree of tumor FDG uptake correlates with proliferation index in triple negative breast cancer. Mol Imaging Biol 12:657-62
Megalooikonomou, Vasileios; Barnathan, Michael; Kontos, Despina et al. (2009) A representation and classification scheme for tree-like structures in medical images: analyzing the branching pattern of ductal trees in X-ray galactograms. IEEE Trans Med Imaging 28:487-93
Bakic, Predrag R; Carton, Ann-Katherine; Kontos, Despina et al. (2009) Breast percent density: estimation on digital mammograms and central tomosynthesis projections. Radiology 252:40-9
Weinstein, Susan P; Localio, A Russell; Conant, Emily F et al. (2009) Multimodality screening of high-risk women: a prospective cohort study. J Clin Oncol 27:6124-8
Kontos, Despina; Bakic, Predrag R; Carton, Ann-Katherine et al. (2009) Parenchymal texture analysis in digital breast tomosynthesis for breast cancer risk estimation: a preliminary study. Acad Radiol 16:283-98
Konecky, Soren D; Choe, Regine; Corlu, Alper et al. (2008) Comparison of diffuse optical tomography of human breast with whole-body and breast-only positron emission tomography. Med Phys 35:446-55
Chen, Sara C; Carton, Ann-Katherine; Albert, Michael et al. (2007) Initial clinical experience with contrast-enhanced digital breast tomosynthesis. Acad Radiol 14:229-38

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