News | Breast Density | January 09, 2020

Breast Density Notification Laws not Effective for all Women

The study found that DBN laws helped some women understand they had increased breast density, but not that breast density is associated with a higher risk of breast cancer or that dense breasts limit the ability of mammograms to detect cancer

The study found that DBN laws helped some women understand they had increased breast density, but not that breast density is associated with a higher risk of breast cancer or that dense breasts limit the ability of mammograms to detect cancer

January 9, 2020 — A new study suggests that state-mandated notifications on mammogram reports intended to inform women of the health risks related to breast density are not worded effectively.

The study, conducted by researchers at Yale and New York University, found that although dense breast notification (DBN) laws did help some women understand they had increased breast density, those women were not more likely to know that breast density is associated with a higher risk of breast cancer or that dense breasts limit the ability of mammograms to detect cancer. The finding was particularly pronounced for women with a high school education or less.

The study appears in the Journal of General Internal Medicine.

"We know that women with less education are less likely to receive high-quality breast cancer screening and treatment," said senior author Cary Gross, M.D., a Yale professor of medicine and member of the Yale Cancer Center. "Our study underscores one potential mechanism for this disparity. Ensuring that notifications are written in simple language may help improve understanding of breast density for all women."

Thirty-eight states have enacted DBN laws. Critics of the laws have raised concerns that they might increase women's anxiety about getting breast cancer. There have also been concerns about the readability of language used in the notifications. The U.S. Food and Drug Administration recently announced a proposal to extend DBN requirements to all mammogram facilities.

For the new study, researchers surveyed 1,928 women across the country. They found no difference in breast cancer-related anxiety between women in DBN and non-DBN states. Women in DBN states were more likely to know if they have increased breast density, but only when those women had higher than a high school level of education.

"The goal for these state laws is not being met," said NYU's Kelly Kyanko, M.D., first author of the study. "Women who lived in states with DBN laws were not more likely to understand the implications of breast density — that having dense breasts meant they were at increased risk of breast cancer or that the radiologist would have a harder time seeing a cancer on their mammogram."

For more information: www.yale.edu

Related Content

Christopher Comstock, M.D., ECOG-ACRIN Cancer Research Group study published in JAMA builds evidence for use of abbreviated MRI in women with dense breasts

Christopher Comstock, M.D., (Memorial Sloan Kettering Cancer Center) is the lead author of a paper in JAMA that reports that abbreviated breast MRI detected significantly more (almost 2 and a half times as many) breast cancers than digital breast tomosynthesis (3-D mammography) in average-risk women with dense breasts. Photo courtesy of Memorial Sloan Kettering Cancer Center

News | Breast Imaging | February 26, 2020
February 26, 2020 — According to a study
Women 75-plus May Not Benefit from Breast Cancer Screening
News | Mammography | February 25, 2020
February 25, 2020 — According to newly published research in an article titled...
An example of the MRI scans showing long-term and short-term survival indications. #MRI

An example of the MRI scans showing long-term and short-term survival indications. Image courtesy of Case Western Reserve University

News | Magnetic Resonance Imaging (MRI) | February 21, 2020
February 21, 2020 — ...
A cutting-edge magnet resonance imaging (MRI) technique to detect iron deposits in different brain regions can track declines in thinking, memory and movement in people with Parkinson's disease #Parkinsons #MRI

Summary steps of the processing pipeline for QSM reconstruction (phase pre-processing and map estimation) and whole brain/regional analysis. ANTs, advanced normalisation tools; MP-RAGE, magnetisation-prepared, 3D, rapid, gradient-echo; MSDI, multi-scale dipole inversion; QSM, quantitative susceptibility mapping; ROI, region of interest; SWI, susceptibility weighted imaging.

News | Magnetic Resonance Imaging (MRI) | February 21, 2020
February 21, 2020 — A cutting-edge...
Recognized as the “Pulitzer Prize of the business press,” the Jesse H. Neal Award finalists are selected for exhibiting journalistic enterprise, service to the industry and editorial craftsmanship
News | Radiology Business | February 19, 2020
February 19, 2020 — Connectiv, a division of The Software and Information Industry Association (SIIA), has announced
Arizona State University researchers (in collaboration with Banner MD Anderson Cancer Center) have discovered a biocompatible cost-effective hydrogel that can be used to monitor therapeutic doses of ionizing radiation by becoming more pink with increasing radiation exposure

Arizona State University researchers (in collaboration with Banner MD Anderson Cancer Center) have discovered a biocompatible cost-effective hydrogel that can be used to monitor therapeutic doses of ionizing radiation by becoming more pink with increasing radiation exposure. This picture shows a circle of hydrogel that was irradiated on the left half, which is slightly pink; whereas the right half of the gel is not irradiated and remains colorless.

News | Radiation Therapy | February 18, 2020
February 18, 2020 — More than half of all cancer patients undergo radiation therapy and the dose is critical.
Mammograms of a 49-year-old woman with invasive lobular carcinoma on the right-side breast

Mammograms of a 49-year-old woman with invasive lobular carcinoma on the right-side breast. A small mass with micro-calcifications on the right-side breast was detected correctly by AI with an abnormality score of 96%. This case was recalled by 7 out of 14 radiologists (4 breast radiologists and 3 general radiologists) initially (without AI) and all 14 radiologists recalled this case correctly with the assistance of AI.

News | Artificial Intelligence | February 11, 2020
February 11, 2020 — A new study, published in...
Accuray TomoTherapy total body irradiation
News | Radiation Therapy | February 07, 2020
February 7, 2020 — Accuray Incorporated announced that two new studies demonstrate the benefits of the ...
Sponsored Content | Videos | Artificial Intelligence | February 06, 2020
ProFound AI is an FDA-cleared artificial intelligence (AI) system for reading 3-D breast tomosynthesis images.