A Kaiser score > 5 with breast MRI demonstrated a 97 percent sensitivity and 87.9 percent specificity for predicting malignancy in patients with BI-RADS 0 or 4 presentations on mammography and breast ultrasound, according to a new study.
Related to this article
Catch up on the most-well viewed radiology content in October 2026.
Catch up on the top radiology content of the past week.
Catch up on the top AI-related news and research in radiology over the past month.
Catch up on the top radiology content of the past week.
Assessing breast MRI scans, pathology and clinical data, the AI-powered TumorSight Risk software reportedly provides five- and 10-year risk for breast cancer recurrence for women with HR+, HER2-negative stage I-IIIA breast cancer.
Catch up on the most well-viewed radiology video interviews from Diagnostic Imaging in September 2026.
Use of the AI-enabled slab technology from reconstructed DBT imaging led to a 7.4-second mean reduction in reading time in a new study involving 391 cases and 15 reviewing radiologists.
Advertisement
Advertisement
Trending on Diagnostic Imaging
1
Interventional Radiology in Focus: Emerging Concepts with Ablation and Histotripsy in Interventional Oncology
2
CCTA Study: AI-Powered Plaque Analysis Reveals Coronary Plaque in 87 Percent of Retired NFL Players
3
Could a CCTA-Guided Approach Provide a Viable Alternative to Intravascular Ultrasound Guidance for PCI Procedures?
4