A national survey of U.S. women ages 40 and older found that 95% of women in this age group do not know their breast density and nearly 90% do not know it increases the risk of developing breast cancer, according to ultrasound developer U-Systems of Sunnyvale, CA.
The study was commissioned by U-Systems and conducted by Harris Interactive, a market research and consulting firm. It included 599 adult women ages 40 and older and was conducted online from April 28 through 30, 2010.
Thirty-two percent of the women in the study said they would consider having an ultrasound exam or other additional imaging if they had increased breast density. And despite the fact that only 5% of the women knew their own breast density prior to the survey, 26% said that it is important for women older than 40 to know their breast density and 23% wanted to know their own breast density, U-Systems said.
U-Systems is sponsoring a nationwide multicenter clinical study to evaluate whether digital mammography in combination with automated breast ultrasound is more accurate than a routine screening mammogram alone in detecting breast cancer in women with dense breast tissue.
Related Reading
U-Systems adds site to clinical study, January 20, 2010
U-Systems rolls out somo.v upgrade, December 2, 2009
U-Systems signs California hospital for study, October 29, 2009
U-Systems adds to clinical study, July 13, 2009
U-Systems begins ABUS study, April 13, 2009
Copyright © 2010 AuntMinnie.com
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=100&q=70&w=100)




![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)










