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SenoScan clears FDA
Customers shopping for full-field digital mammography systems have another product to consider. The FDA has cleared Fischer Imaging’s SenoScan for sale in the U.S. In making the announcement Sept. 25, Fischer executives predicted that a large
Customers shopping for full-field digital mammography systems have another product to consider. The FDA has cleared Fischer Imaging’s SenoScan for sale in the U.S. In making the announcement Sept. 25, Fischer executives predicted that a large portion of the currently installed 30,000 screen-film mammography systems would eventually be replaced by digital systems, with the conversion rate reaching as high as 1500 systems per year by 2007. So far, only Fischer and GE Medical Systems have been cleared to sell such products. Prior to the FDA decision, Fischer announced the sale of five SenoScans to research institutions participating in a $26 million study sponsored by the National Cancer Institute to determine the accuracy of digital mammography. SenoScan, which is built around a slot scanning digital detector, can support computer-aided detection software, tomosynthesis involving 3-D imaging, and contrast subtraction mammography.
European Society of Breast Imaging Issues Updated Breast Cancer Screening Recommendations
April 24th 2024One of the recommendations from the European Society of Breast Imaging (EUSOBI) is annual breast MRI exams starting at 25 years of age for women deemed to be at high risk for breast cancer.
New Research Examines Socioeconomic Factors with Mammography No-Shows
April 10th 2024Patients with Medicaid or means-tested insurance were over 27 percent more likely to miss mammography appointments, and only 65 percent of women with three of more adverse social determinants of health had a mammography exam in a two-year period covering 2020 and 2021, according to new research and a report from the CDC.
Mammography Study: AI Improves Breast Cancer Detection and Reduces Reading Time with DBT
April 3rd 2024An emerging artificial intelligence (AI) model demonstrated more than 12 percent higher specificity and reduced image reading time by nearly six seconds in comparison to unassisted radiologist interpretation of digital breast tomosynthesis (DBT) images.
