News | Breast Density | January 08, 2016

Vermont Latest State to Introduce Breast Density Inform Bill

If signed into law, bill will become effective July 1, 2016

Vermont, breast density inform law, mammograms, dense breast tissue

January 8, 2016 — The Vermont state Senate introduced a bill this week that would mandate healthcare facilities to share breast density information with patients following a mammogram. The resolution was introduced on the Senate floor Jan. 5 by Sen. Joe Benning (R-Caledonia) and referred to the Committee on Health and Welfare.

The resolution as introduced includes two provisions related to breast density. First, healthcare facilities that perform mammograms would be required to inform all patients who receive mammograms of their breast density classifications; classification would be based on the American College of Radiology’s Breast Imaging Reporting and Data System (BI-RADS). At the same time patients, with dense fibroglandular tissue must be notified that they may benefit from additional screening, as dense tissue and cancerous tissue both appear white on a mammogram, making detection more difficult.

If passed, the law would come into effect on July 1, 2016. That would make Vermont the 25th state to enact such a regulation. Louisiana was the last state to enact a breast density inform law, which was signed by Gov. Bobby Jindal last July and became effective Jan. 1 of this year.

For more information: www.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...
 Lunit, a leading medical AI software company, will be joining the 106th Radiological Society of North America (RSNA) this year, presenting its AI solutions for chest X-ray and mammography at partner booths.
News | Artificial Intelligence | November 24, 2020
November 24, 2020 — Lunit, a leading medical AI software company, will be joining the 106th...
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 — ...