Breast Density Notification Laws - Rhode Island
Information about Rhode Island's breast density notification legislation.
Beginning October 2014.
Recipient: All patients receive individual breast tissue classification based on BI-RADS; patients with heterogeneously or extremely dense breasts receive below notice.
Notification text: “Your mammogram indicates that you have dense breast tissue. Dense breast tissue is relatively common and is found in about forty percent (40%) of women. The presence of dense tissue can make it more difficult to detect cancers in the breast by mammography because it can hide small abnormalities and may be associated with an increased risk. Hence, you may benefit from supplementary screening tests, which may include a breast ultrasound screening, or a breast MRI examination, or both, depending on your individual risk factors. We are providing this information to raise your awareness of this important factor and to encourage you to discuss your dense breast tissue, as well as other breast cancer risk factors, with your health care provider. Together, you can decide which screening options are right for you. A report of your results was sent to your physician. You should contact your physician if you have any questions or concerns about this report."
Legislation: The Dense Breast Notification and Education Act
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March 18th 2025While recalls initiated by one of two reviewing radiologists after screening mammography were nearly 10 percent higher than recalls initiated by an AI software, the AI-initiated recalls had an 85 percent higher positive predictive value for breast cancer, according to a new study.
ECR Mammography Study: Pre-Op CEM Detects 34 Percent More Multifocal Masses than Mammography
February 28th 2025In addition to contrast-enhanced mammography (CEM) demonstrating over a 90 percent detection rate for multifocal masses, researchers found that no significant difference between histological measurements and CEM, according to study findings presented at the European Congress of Radiology.
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February 5th 2025Use of the mammography AI software had a nearly equivalent false positive rate as unassisted radiologist interpretation and resulted in a 44 percent reduction in screen reading workload, according to findings from a randomized controlled trial involving over 105,000 women.
