Here's what to expect this week on Diagnostic Imaging.
In this week’s preview, here are some highlights of what you can expect to see coming soon:
It is no secret that screening mammography has a beneficial impact on reducing deaths related to breast cancer. But, what does that effect really look like – how significant can it be? This week, look for coverage of how participating in routine screening mammography actually impacts mortality rates.
For more screening mammography coverage, click here.
For more coverage based on industry expert insights and research, subscribe to the Diagnostic Imaging e-Newsletter here.
Later this week, the European Congress of Radiology (ECR) will host its 2021 virtual annual meeting. Diagnostic Imaging will bring you the latest news across all the modalities, as well as the details you need for greater workflow productivity and improved facility management. Watch for coverage to begin mid-week.
To review last year’s coverage, click here.
Recent research revealed that transgender patients have had mixed results – at best – with their radiology encounters. Nearly 75 percent of these patients have reported at least one negative experience with an imaging provider. This week, Diagnostic Imaging will publish coverage of a study published in the Journal of the American College of Radiology about best practices for radiologists to provide the highest level of care possible for transgender patients.
For additional coverage on imaging transgender patients, click here.
Leading Breast Radiologists Discuss the USPSTF Breast Cancer Screening Recommendations
May 17th 2024In recognition of National Women’s Health Month, Dana Bonaminio, MD, Amy Patel, MD, and Stacy Smith-Foley, MD, shared their thoughts and perspectives on the recently updated breast cancer screening recommendations from the United States Preventive Services Task Force (USPSTF).
Multicenter CT Study Shows Benefits of Emerging Diagnostic Model for Clear Cell Renal Cell Carcinoma
May 15th 2024Combining clinical and CT features, adjunctive use of a classification and regression tree (CART) diagnostic model demonstrated AUCs for detecting clear cell renal cell carcinoma (ccRCC) that were 15 to 22 percent higher than unassisted radiologist assessments.
CT Study: AI Algorithm Comparable to Radiologists in Differentiating Small Renal Masses
May 14th 2024An emerging deep learning algorithm had a lower AUC and sensitivity than urological radiologists for differentiating between small renal masses on computed tomography (CT) scans but had a 21 percent higher sensitivity rate than non-urological radiologists, according to new research.