The models do not require manual measurements from a sonographer to estimate GA. Instead, they are able to make use of ultrasound images and videos.

Gwendolyn Bryant-Smith, MD, division chief of breast imaging and associate director for diversity, equity and inclusion at the Winthrop P. Rockefeller Cancer Institute, University of Arkansas, discussed how her center addressed health inequities in mammography.

Optoacoustic ultrasound can noninvasively provide valuable information on tumor behavior and better inform providers of whether a mass is benign or malignant. 

“This can have a major impact on the younger population, especially for women at high risk of developing breast cancer, like those with genetic mutations, where there is a necessity to start screenings at an early age,” experts explained in Academic Radiology.

The FDA has cleared software that automatically assesses density of breast tissue on mammography.

Prior to 2018, it was recommended that women at higher-than-average risk undergo supplemental breast MRI screening only if they had a personal history of breast cancer in addition to carrying a hereditary breast cancer gene mutation.

Noteworthy market developments listed in the order announcements were posted.    

The Dallas-based company says its product incorporates bias-busting algorithms that overcome the lack of diverse populations available for model training.