The traditional methods for breast cancer screening (physical examination and film screen mammography) suffer from poor specificity and difficulty in detection lesions in the radiographically dense breast. There has been intense interest in the development of better techniques to detect breast cancer which have led to the development of high resolution breast ultrasound, breast MRI and full field digital mammography. In addition, there has been great progress in understanding factors related to breast cancer risk and identifying individuals at high risk for breast cancer. This has led to efforts to test newer breast imaging techniques for detecting screening this population. This makes it difficult to even plan a large screening trial to show the effect of intensive high risk screening of cancer outcome. The hospital of the University of Pennsylvania is unique in that it has ongoing research efforts in nearly every breast imaging technology. In addition, there is a strong risk assessment group couple to a network of 40 hospitals from which patients may be recruited. This project is intended to study the use of multi-modality screening of high risk women in an effort to understand the relative merits of the different breast imaging technologies. It is expected that these efforts will be used to develop a phase 3 study of high risk breast cancer screening.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
1P01CA085424-01A2
Application #
6507735
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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