New AI tool accurately classifies breast density

A new study published in Radiology: Artificial Intelligence discusses how an AI tool can achieve the challenging task of accurately and consistently classifying breast density on routine mammograms. 

Women who have dense breasts have an increased risk of developing breast cancer and, due to masking effects, high density also makes detecting lesions more difficult for radiologists. Dense breasts are most often categorized using the American College of Radiology’s Breast Imaging-Reporting and Data System (BI-RADS), but inter- and intra-observer variability may limit the system's clinical viability. 

To address this issue, researchers in Italy developed an artificial intelligence software using deep learning techniques with convolutional neural networks that can detect the most minute patterns on mammographic images.  

“The particular value of this tool is the possibility to overcome the suboptimal reproducibility of visual human density classification that limits its practical usability,” explained study co-author Sergio Papa, MD, from the Centro Diagnostico Italiano in Milan, Italy. “To have a robust tool that proposes the density assignment in a standardized fashion may help a lot in decision-making.” 

Using 760 mammographic images, seven board-certified radiologists supervised the training of the AI software, dubbed TRACE4BDensity. By including an additional 384 images from a different center, three radiologists, whose breast density assessments were closest to the consensus of the initial readers, were able to externally validate the software. 

For discerning between low- and high-density breast tissue, the AI software achieved an accuracy of 89%. Experts also highlighted the 90% agreement between the tool and three human readers. 

“A tool such as TRACE4BDensity can help us advise women with dense breasts to have, after a negative mammogram, supplemental screening with ultrasound, MRI or contrast-enhanced mammography,” said another study co-author Francesco Sardanelli, MD, with the IRCCS Policlinico San Donato in San Donato, Italy. 

Many states in the U.S. already have laws in place that require institutions to notify women with dense breast tissue of their mammographic findings, but many other countries do not request the same actions from their providers. The researcher stated that they would like to continue to study the utility of their tool for countries where there are not currently breast density communication mandates, as they believe it could be beneficial for radiologists and patients. 

More on breast density research:

Mayo Clinic offers new guidance on supplemental screening of women with dense breasts

Many women willing to pay more for screening MRI, particularly those with dense breasts

Subjectivity remains a challenge among radiologists using BI-RADS 5 for breast density

New mammoscope tool bolsters cancer screening in women with dense breasts

Hannah murhphy headshot

In addition to her background in journalism, Hannah also has patient-facing experience in clinical settings, having spent more than 12 years working as a registered rad tech. She began covering the medical imaging industry for Innovate Healthcare in 2021.

Around the web

CCTA is being utilized more and more for the diagnosis and management of suspected coronary artery disease. An international group of specialists shared their perspective on this ongoing trend.

The new technology shows early potential to make a significant impact on imaging workflows and patient care. 

Richard Heller III, MD, RSNA board member and senior VP of policy at Radiology Partners, offers an overview of policies in Congress that are directly impacting imaging.