- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Proprietary processing algorithms present challenges
Every mammogram is different, and every patient is her own control. Mammographers are watching for changes over time. But the digital age has brought with it some challenges. Because each digital mammography vendor uses proprietary processing algorithms, it may be hard to distinguish pathology from actual differences in image quality that can occur when images are scaled up. Everything scales differently.
Every mammogram is different, and every patient is her own control. Mammographers are watching for changes over time. But the digital age has brought with it some challenges. Because each digital mammography vendor uses proprietary processing algorithms, it may be hard to distinguish pathology from actual differences in image quality that can occur when images are scaled up. Everything scales differently.
For example, a nodule on a second-year mammogram might appear bigger than on the initial scan when it's scaled up. But each scan was taken on a different machine with different processing algorithms. Is the nodule actually bigger, or is it just scaled bigger?
I've looked at images from the same patient three years in a row, from three different units. And my question is, Does that mass or tissue look different because of processing algorithms, or has there been a real change?
Processing algorithms are the most variable aspects of digital mammography we face today. They improve image quality, no doubt, but they are vendor-specific and change every year when vendors introduce innovations.
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.
