Characterization of the imaging settings in screening mammography using a tracking and reporting system: A multi-center and multi-vendor analysis |
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| Affiliation: | 1. University of Pennsylvania, Department of Radiology, 3620 Hamilton Walk, Philadelphia, PA 19104, USA;2. Federal University of Sao Paulo, Escola Paulista de Medicina, 740 Rua Botucatu, Sao Paulo, SP 04023-062, Brazil;3. University of Sao Paulo, Department of Electrical Engineering, 400 Trabalhador Sao-Carlense, Sao Carlos, SP 13566-590, Brazil;1. Center for Devices and Radiological Health, FDA, Silver Spring, Maryland;2. ACR, Reston, Virginia;3. Doshi Diagnostic Imaging, New York, New York;1. Department of Radiology, UNC School of Medicine, Chapel Hill, North Carolina;2. Department of Pathology and Laboratory Medicine, UNC School of Medicine, Chapel Hill, North Carolina;3. Department of Physician Assistant Studies, Elon University, Elon, North Carolina;4. Sanford School of Public Policy, Duke University, Durham, North Carolina;5. Department of Health Policy and Management, UNC Gillings School of Global Public Health, Chapel Hill, North Carolina |
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| Abstract: | A tracking and reporting system was developed to monitor radiation dose in X-ray breast imaging. We used our tracking system to characterize and compare the mammographic practices of five breast imaging centers located in the United States and Brazil. Clinical data were acquired using eight mammography systems comprising three modalities: computed radiography (CR), full-field digital mammography (FFDM), and digital breast tomosynthesis (DBT). Our database consists of metadata extracted from 334,234 images. We analyzed distributions and correlations of compressed breast thickness (CBT), compression force, target-filter combinations, X-ray tube voltage, and average glandular dose (AGD). AGD reference curves were calculated based on AGD distributions as a function of CBT. These curves represent an AGD reference for a particular population and system. Differences in AGD and imaging settings were attributed to a combination of factors, such as improvements in technology, imaging protocol, and patient demographics. The tracking system allows the comparison of various imaging settings used in screening mammography, as well as the tracking of patient- and population-specific breast data collected from different populations. |
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| Keywords: | DICOM Computed radiography Digital mammography Digital breast tomosynthesis Quality assurance |
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