Dear AuntMinnieEurope Member,
Sweden has a rich heritage when it comes to breast cancer screening. The country was one of the early pioneers in the 1970s and 1980s, and radiologists like Dr. László Tabár played a central role in the implementation of mammography.
Given this background, it's highly significant when one of Sweden's leading breast research groups unveils important findings on the optimum use of AI in screening. Find out more in the Women's Imaging Community.
In other news, a radiation protection survey of 48 hospitals and clinics in France has highlighted shortcomings, particularly in cervical and lumbar spine CT exams. One major cause is the failure to specify the medical indications in the dose archiving and communication system. Another factor is that national recommendations have not been updated to reflect technological improvements. Go to the CT Community for the full story.
New information about the clinical potential of photon-counting CT continues to emerge. A study from Zurich has caught our attention this week, not least because it contains some positive findings about contrast use.
AI is becoming of great value in lung-nodule and pulmonary embolism detection on CT, a Dutch survey has shown. Neuro CT analysis is another key area for AI, particularly detection of large vessel occlusion and intracranial hemorrhage.
Meanwhile, researchers from Basel, Switzerland, have developed a deep-learning model that helps radiologists to predict pediatric myelin maturation age on brain MRI scans. The model can also reduce the time needed to complete this task.
