A Practice Advisory has been issued for this document.
A correction notice has been issued for this document on the Obstetrics & Gynecology website.
Number 625 (Reaffirmed 2020)
Committee on Gynecologic Practice
This document reflects emerging clinical and scientific advances as of the date issued and is subject to change. The information should not be construed as dictating an exclusive course of treatment or procedure to be followed.
ABSTRACT: Women with dense breasts have a modestly increased risk of breast cancer and experience reduced sensitivity of mammography to detect breast cancer. However, evidence is lacking to advocate for additional testing until there are clinically validated data that indicate improved screening outcomes. Currently, screening mammography remains the most useful tool for breast cancer detection and consistently has demonstrated a reduction in breast cancer mortality. The American College of Obstetricians and Gynecologists does not recommend routine use of alternative or adjunctive tests to screening mammography in women with dense breasts who are asymptomatic and have no additional risk factors. The American College of Obstetricians and Gynecologists recommends that health care providers comply with state laws that may require disclosure to women of their breast density as recorded in a mammogram report.
Dense breast tissue is common in younger women. Dense breast tissue absorbs significantly more radiation during mammography compared with fatty breast tissue 1. This occurrence reduces the accuracy of mammography to detect breast cancer in women with dense breast tissue 2 3. Currently, screening mammography remains the most useful tool for breast cancer detection and consistently has demonstrated a reduction in breast cancer mortality. Nonetheless, mammography does not detect all breast cancer.
Women with dense breasts (Breast Imaging Reporting and Data System [BI-RADS] category 3 and 4) have a modestly increased risk of breast cancer and experience reduced sensitivity of mammography to detect breast cancer Table 1 2. Although categories have been established, the assessment of breast density is subjective and based on the opinion of the radiologist. In women with heterogeneously dense or extremely dense breasts, digital mammography has been shown to be more effective compared with film mammography for breast cancer screening 2. Numerous states have passed legislation that require health care providers to inform women of the modest increased risk of breast cancer and reduced sensitivity of mammography, and several states require practitioners to discuss supplemental tests to screening mammography for women with dense breasts. Current published evidence does not demonstrate meaningful outcome benefits (eg, reduction in breast cancer mortality) with supplemental tests (eg, ultrasonography and magnetic resonance imaging) to screening mammography or with alternative screening modalities (eg, breast tomosynthesis or thermography) in women with dense breasts who do not have additional risk factors. Evidence is lacking to advocate for additional testing until there are clinically validated data that indicate improved screening outcomes.

The American College of Obstetricians and Gynecologists (the College) does not recommend routine use of alternative or adjunctive tests to screening mammography in women with dense breasts who are asymptomatic and have no additional risk factors. The College strongly supports additional research to identify more effective screening methods that will enhance meaningful improvements in cancer outcomes for women with dense breasts and minimize false-positive screening results. The College recommends that health care providers comply with state laws that may require disclosure to women of their breast density as recorded in a mammogram report.
In “Committee Opinion No. 625: Management of Women With Dense Breasts Diagnosed by Mammography”from the American College of Obstetricians and Gynecologists (Obstet Gynecol 2015: 125;750–1), on page 1, second paragraph, “category 3 and 4” is incorrect and should be “category c and d”; on page 2, Table 1, the “BI-RADS Category” column “1, 2, 3, 4” is incorrect and should be a, b, c, d.”