- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Poll of the Week: Provide Breast Density Info to Patients?
The ACR this week said "proceed with caution” when considering legislative requirements to include density information in the patient summary. What do you think?
Including breast density results in the mammography report gives the referring physician more information on the likelihood that cancer will be detected or missed given that pattern, according to the ACR. However, it’s less clear how patients understand and interpret that information, the ACR said in a position statement this week.
"While the ACR is not opposed to including breast parenchymal information in the lay summary, we urge strong consideration of the benefits, possible harms and unintended consequences of doing so,” the ACR said. The ACR recommended that "stakeholders proceed with caution” when looking at legislative requirements to include density information in the patient summary.
Three states have legislated patient notification of breast density. What do you think?
Can MRI-Based AI Enhance Risk Stratification in Prostate Cancer?
January 13th 2025Employing baseline MRI and clinical data, an emerging deep learning model was 32 percent more likely to predict the progression of low-risk prostate cancer (PCa) to clinically significant prostate cancer (csPCa), according to new research.
Shaping the Future of Radiology in 2025: Trends, Threats, and Opportunities
January 10th 2025How do we respond to challenges with staff recruitment, cybersecurity, and looming hospital takeovers in radiology? This author assesses key trends in radiology and offers key insights to stay competitive in the field.
Can MRI Have an Impact with Fertility-Sparing Treatments for Endometrial and Cervical Cancers?
January 9th 2025In a literature review that includes insights from recently issued guidelines from multiple European medical societies, researchers discuss the role of magnetic resonance imaging (MRI) in facilitating appropriate patient selection for fertility-sparing treatments to address early-stage endometrial and cervical cancer.
