Radiology in public focus
Press releases were sent to the medical news media for the following articles appearing in recent issues of RSNA Journals.
Expanding RSNA’s Reach
RSNA-related research continued to draw national and international media attention in April, with 2,275 RSNA-related tracked stories that generated over 3.3 billion audience impressions.
April coverage included Forbes, USA Today, U.S. News & World Report, CNN, NBC News, ABC News Radio, Yahoo! News, WNYW-TV (New York), WABC-AM (New York), KFI-AM (Los Angeles), KTLA-TV (Los Angeles), WGN-AM (Chicago), WBBM-TV (Chicago), Daily Mirror and HealthDay.
Changes in AI Mammogram Risk Scores Over Time Help Predict Future Breast Cancer
In a multisite retrospective study led by Constance D. Lehman, MD, PhD, of Harvard Medical School in Boston and Clairity, Inc., AI-generated breast cancer risk scores from screening mammograms changed over time and differed between women who developed breast cancer and those who remained cancer-free.
Using an image-only deep learning model to analyze 158,807 screening mammograms from 54,014 women, researchers found that median risk scores increased from 2.1 at six years before diagnosis to 6.6 at the index exam among women who developed cancer. Scores remained stable among cancer-free controls.
Read the related RSNA News story.
New Framework Launches to Improve Pulmonary Embolism Patient Care
In a recent paper, Lynne M. Koweek, MD, of Duke University School of Medicine in Durham, NC, and representatives from six other medical groups describe the new Pulmonary Embolism Reporting and Data Systems (PE-RADS).
The standardized lexicon and structured supporting system for acute pulmonary embolism imaging uses a 0–4 grading scale and hierarchical framework to classify clot location and right heart imaging features on CT and MR angiography. The system is designed to reduce reporting variability, improve communication across multidisciplinary care teams and support risk stratification and patient management.
Read the related RSNA News story.
AI Could Provide 'Early Alert' for Breast Cancer Six Years in Advance
In a Swedish retrospective study led by Sarah Hickman, MBBS, PhD, and senior coauthor Fredrik Strand, MD, PhD, of Karolinska University Hospital in Stockholm, three commercially available AI-based computer-assisted detection systems showed potential to flag mammographic signs of breast cancer up to six years before diagnosis.
Using 88,963 mammograms from 31,394 patients in the Validation of Artificial Intelligence for Breast Imaging database, researchers found that AI scores were elevated in patients who later developed breast cancer and remained low in cancer-free individuals.
Read the related RSNA News story.
Help Your Patients Prepare for Imaging Exams
Patients often have questions before and after imaging exams. The public information website RadiologyInfo.org, sponsored by RSNA, the American College of Radiology and the American Society of Radiologic Technologists, offers clear, patient-friendly information about common imaging procedures, radiation safety, diseases and conditions, and how to read radiology reports.
Direct your patients to RadiologyInfo.org for trusted information that can help them feel more informed and confident throughout their imaging experience.