News | Breast Density | February 08, 2019

New Mexico Enacts Breast Density Inform Law

Becomes 36th state to require some level of patient notification

breast density cancer awareness

Governor Michelle Lujan Grisham has signed breast density inform bill, HB66 into law, making New Mexico the 36th state to require communication about breast density to women after their mammogram.  The law goes into effect July 1, 2019. State bills have also been introduced in Georgia and South Dakota this session.

New Mexico Representative Elizabeth “Liz” Thomson, a breast cancer survivor, was instrumental in introducing and advocating passage of this bill. Governor Grisham’s signature on the bill means that nearly 89% of American women now live in states that require women be provided some level of notification about breast density.

Approximately 40% of women aged 40 and over have dense breast tissue that may hide cancers on mammography.  Women with dense breasts may benefit from supplemental screening tests, in addition to mammography, to detect cancers. Women with extremely dense breasts are 4-6 times more likely to develop breast cancer than women with the least dense breasts. Providing women with their breast density classification would enable them to initiate discussions with their physicians about whether  supplemental screening might be beneficial.

While the New Mexico law mandates that women be notified of their individual breast density classification, state laws vary in depth and breadth of notification. Not all “inform” laws actually provide women with information about their own breast density; some only provide general information about breast density. There is a growing call for a single national reporting standard to address this disparity. On the federal regulatory level, the Food and Drug Administration anticipates publishing proposed amendments to the Mammography Quality Standards Act (MQSA) regulations for notice or comment.  On the federal legislative front, the Breast Density and Mammography Reporting Act of 2017 was introduced in both the Senate (S 2006) and House (HR 4122).

For further explanation about federal efforts and for state-by-state legislative analysis, visit the “Legislative Information” tab at educational website DenseBreast-info.org.

Related Content

Researchers developed a deep learning model that identifies imaging biomarkers to predict a patient’s risk for developing breast cancer

A deep learning model was developed that combined imaging and traditional risk factors.

News | Mammography | November 30, 2020
November 30, 2020 — Researchers at Massachusetts General Hospi...
ProFound AI for DBT offers superior clinical performance when compared to other commercially available breast AI systems
News | Breast Imaging | November 24, 2020
November 24, 2020 — iCAD reported that over 1,000 licenses have been sold as part of...
Densitas Inc., a global provider of A.I. technologies for digital mammography and breast screening, announced its partnership with Mammography Educators to offer the first artificial intelligence powered telehealth technologist training platform to support business continuity in mammography facilities.
News | Mammography | November 20, 2020
November 20, 2020 — Densitas Inc., a global provider of A.I.
Radiologists around the world will have access to a first-of-its-kind online breast density training tool designed to improve radiologists' ability to correctly identify women's breast density categories to comply with the Breast Imaging-Reporting and Data System (BI-RADS), thanks to a collaboration between DetectED-X and Volpara Health. 
News | Breast Density | November 19, 2020
November 19, 2020 — Radiologists around the world will have access to a first-of-its-kind online...
Reduces the complexity of reporting for screening and diagnostic MRI eams to deliver time-saving and patient safety benefits
News | MRI Breast | November 18, 2020
November 18, 2020 — ...
An interview with Professor Christiane Kuhl, M.D., director of radiology, University Hospital Aachen, Germany, on the effects on breast imaging in the COVID-19 era

Getty Images

Feature | Breast Imaging | November 12, 2020 | By Dave Fornell
The pandemic forced many elective procedures, including most areas of...
Images in a 55-year-old woman with a spiculated mass localized in the upper central quadrant (arrow in A, B, D, and E) of right breast detected with digital breast tomosynthesis (DBT) plus synthetic mammography (SM). Breast density was classified as category C with the Breast Imaging Reporting and Data System. Mass was invasive ductal carcinoma, stage I, and was estrogen and progesterone receptor positive and human epidermal growth factor receptor 2 negative. A, Image from SM in craniocaudal view. B, Single

Images in a 55-year-old woman with a spiculated mass localized in the upper central quadrant (arrow in A, B, D, and E) of right breast detected with digital breast tomosynthesis (DBT) plus synthetic mammography (SM). Breast density was classified as category C with the Breast Imaging Reporting and Data System. Mass was invasive ductal carcinoma, stage I, and was estrogen and progesterone receptor positive and human epidermal growth factor receptor 2 negative. A, Image from SM in craniocaudal view. B, Single-slice DBT image in craniocaudal view. C, Magnification of the lesion depicted in B. D, Image from SM in mediolateral oblique view. E, Single-slice DBT image in mediolateral oblique view. F, Magnification of the lesion depicted in E. Images courtesy of Radiological Society of North America

News | Breast Imaging | November 11, 2020
November 11, 2020 — ...
Hologic, Inc. announced innovative updates to its Unifi Analytics platform, a breakthrough business intelligence tool that provides mammography centers insights into technologist performance, proactive device maintenance, and business considerations.
News | Mammography | November 10, 2020
November 10, 2020 — Hologic, Inc.