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A comparison of standard 2D mammography (right) and digital breast tomosynthesis (DBT), or 3D mammography (left). The DBT creates a data set of 1 mm slices that the radiologist can look through to see more detail in suspect areas and determine if it dense breast tissue is masking a tumor.

Standalone AI can significantly outperform radiologists' sensitivity in reading digital mammograms and has shown potential in DBT exams as well, but experts are not yet ready to hand over the reins.

osteomyelitis on MRI

Using abbreviated MRI protocols for pediatric exams offers similar quality as standard protocols but decreases the need for sedation. 

lesion on breast ultrasound

Judging the software’s utility in rural settings with less experienced readers is important for expanding access to and improving care for patients, authors of a new AJR paper noted.

lung cancer screening

Willingness to change among radiologists and staff members (rather than leadership) has the biggest impact on lung cancer screening success, public health researchers reported Monday. 

“Paid FML is increasingly being recognized as an important issue in medicine," radiologists wrote recently in AJR

business money suit investor

Another 80% of physicians believe such challenges are worse than they were in 2022, according to survey data from ASTRO. 

Innovation at work

As radiology departments across the US continue to navigate the complexities of the current imaging market, including disruptions in supply chains and increased demand for CT contrast media, one constant remains: the need for reliable, quality supply partners to help sustain patient care. 

Sponsored by Bayer

Around the web

Thanks to AI, clinicians can use mammograms to do a lot more than identify signs of breast cancer. Researchers explored data from nearly 50,000 patients, presenting their findings in Heart.