Current breast cancer screening includes mammography and clinical examination. Findings from screening that are referred to biopsy after final mammographic workup are malignant in approximately 20-30% of the cases. The low specificity of diagnostic mammography has led to the development of alternative imaging tools for distinguishing benign from malignant lesions in the breast. Tools such as digital mammography, ultrasound, MRI, optical imaging, and PET have been suggested and preliminary data suggest promise in improving diagnostic accuracy over film screen mammography alone in all cases. There are few data on the relative diagnostic performance of these newer studies. Furthermore, little is known about the correlation between findings from the different imaging modalities or the value of combinations of diagnostic imaging modalities. Research teams at the University of Pennsylvania have been developing diagnostic imaging protocols in all of these technologies. This proposal represents a unique collaboration between the individual modality teams to study the relative performance and interaction between proposed diagnostic imaging undergo an imaging battery consisting of Digital Mammography, Ultrasound, Optical Imaging, MRI and in years 3-5 PET performed with a dedicated breast scanner. Patients will be characterized with respect to mammographic density, presenting mammographic or clinical finding, compliance with mammographic screening and other characteristics relevant to breast cancer risk and imaging performance. In addition to quantifying the relative diagnostic performance of these modalities, individual features extracted by human observers will be studied for reliability and predictive value. Interpretation models for individual imaging modalities and selected groups of imaging modalities will be developed. Strategies for multi- modality diagnostic work ups for different patient strata will be developed.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
1P01CA085424-01A2
Application #
6507744
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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