More than 175,000 American women are diagnosed with breast cancer each year and approximately 50,000 of these women will die of their disease. The best chance for a cure of this disease is early detection of breast cancer tumors. X-ray mammography has so far been shown to be an important component of any breast cancer screening program., play a critical role in the detection, diagnosis and local staging of breast cancer tumors. X-ray mammography has so far been shown to be an important component of any breast cancer screening program., playing a critical role in the detection, diagnosis and local staging of breast cancer. Over the past 15 years there has been an explosion of medical imaging technology, resulting in a variety of possible imaging resources for research and clinical uses. In the last several years, there have been intense efforts to apply various imaging modalities to improve the detection, diagnosis and local staging of breast cancer. The major goal of this project is to develop an understanding of the relative performance of the of the new generation of breast imaging modalities. The results obtained from this program will be used to guide appropriate clinical implementation of advanced breast imaging technology and will provide the critical data necessary to plan proper phase 3 trials to establish clear clinical roles of this technology. In order to accomplish this goal, 3 interrelated clinical trials will be performed, each targeted at a particular clinical implementation of breast imaging: lesion characterization, local cancer staging, and screening. Each of these trials will employ state-of-the-art technology in FFDM, MRI, PET, ultrasound, and optical imaging. They will each employ a clinically- relevant patient population. In addition to these 3 clinical projects evaluating the performance of the different modalities to perform the different clinical implementations, a fourth project will model the cost and outcome of these models. These will then be utilized to develop cost-effective strategies for clinical applications of multi-modality breast imaging.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
1P01CA085424-01A2
Application #
6422733
Study Section
Subcommittee G - Education (NCI)
Program Officer
Menkens, Anne E
Project Start
2001-09-17
Project End
2006-08-31
Budget Start
2001-09-17
Budget End
2002-08-31
Support Year
1
Fiscal Year
2001
Total Cost
$2,335,270
Indirect Cost
Name
University of Pennsylvania
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
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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