Diagnostic Imaging's A Look Ahead: March 1, 2021, to March 5, 2021
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.
Could AI-Powered Abbreviated MRI Reinvent Detection for Structural Abnormalities of the Knee?
April 24th 2025Employing deep learning image reconstruction, parallel imaging and multi-slice acceleration in a sub-five-minute 3T knee MRI, researchers noted 100 percent sensitivity and 99 percent specificity for anterior cruciate ligament (ACL) tears.
What is the Best Use of AI in CT Lung Cancer Screening?
April 18th 2025In comparison to radiologist assessment, the use of AI to pre-screen patients with low-dose CT lung cancer screening provided a 12 percent reduction in mean interpretation time with a slight increase in specificity and a slight decrease in the recall rate, according to new research.
