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Digital mammo tops film for DCIS diagnosis
The largest study to date comparing film-screen and full-field digital mammography found the digital approach better for visualizing microcalcifications deemed crucial to diagnosing ductal carcinoma in situ.
The largest study to date comparing film-screen and full-field digital mammography found the digital approach better for visualizing microcalcifications deemed crucial to diagnosing ductal carcinoma in situ.
Dr. Nico Karssemeijer from Radboud University in Nijmegen, the Netherlands, and colleagues evaluated 367,600 screening exams performed over five years, 56,518 of which were digital. Breast cancer was found in 1927 women, 317 of whom underwent digital mammography enhanced with computer-aided diagnosis.
At initial screenings, digital detected cancer at a rate of 0.77% and film at a rate of 0.62%. Subsequent readings led to rates of 0.55% and 0.49%, respectively, for digital and film. Film-based screening detection of DCIS was 0.12% in initial exams and 0.08% in subsequent exams. Digital mammography DCIS detection was 0.22% in initial exams and 0.12% in subsequent exams (Radiol 2009 July 31 e-pub ahead of print).
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.
