The American College of Radiology's (ACR) expert panel on breast imaging has published appropriateness criteria for breast cancer screening in the November issue of the Journal of the American College of Radiology.
The researchers, led by Martha Mainiero of Brown University, outlined the college's guidelines (JACR, November 2017, Vol. 14:11S, pp. S383-S390):
- Women at average risk for breast cancer should begin screening mammography and/or digital breast tomosynthesis (DBT) at age 40.
- Ultrasound may be a useful adjunct to mammography for women with dense breasts; women should consider the balance between increased cancer detection and risk of a false positive.
- For women at intermediate risk of breast cancer, ultrasound or MRI may be indicated as an adjunct to mammography and/or DBT, depending on risk factors.
- For women at high risk of the disease, annual screening with breast MRI is recommended in addition to mammography and/or DBT.
- For women at high risk of breast cancer due to prior chest radiation between the ages of 10 and 30, mammography is recommended starting eight years after radiation therapy but not before age 25.
- For women with a genetic disposition to breast cancer, annual screening mammography is recommended 10 years earlier than the affected relative at the time of diagnosis, but not before age 30.
Mainiero's group used 65 references published between 2005 and 2017 to establish the criteria.











![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)






