Breast density analysis IDs women needing more screening

By Eric Barnes, AuntMinnie.com staff writer

November 11, 2015 --

Friday, December 4 | 11:30 a.m.-11:40 a.m. | SST01-07 | Room E450B
In this Friday session, Dutch investigators will present an automated way to identify women who most need supplemental breast cancer screening, based on breast density.

The sensitivity of mammograms is low for women with dense breasts, since cancers may be masked by dense tissue, reported the study team from Radboud University in Nijmegen.

The study examined methods for identifying women with density patterns associated with a high risk of masked breast cancers. The group used three methods based on quantitative volumetric breast density analysis, and compared each one to an area-based density measurement.

"We use large screening databases including over 200,000 exams to investigate methods to identify women with breast density patterns that are likely to mask cancers in mammograms when they develop," explained lead author Katharina Holland in an email to AuntMinnie.com.

These are the women who would benefit most from supplemental screening with ultrasound or MRI, she said.

"We found that existing breast density measurements are able to differentiate between mammograms taken prior to interval cancers and mammograms of normal controls," Holland said. "However, some novel masking measures had a significantly higher performance in identifying women at risk for a masked cancer."

The idea is to implement supplemental screening as an adjunct to mammography with the goal of reducing the number of interval cancers, she added.

"The aim should be to stratify women with a measure that optimally predicts masking potential, while the number of women offered additional imaging remains low," she said. "Our masking measures are a promising step in this direction."