posted on 2023-08-09, 14:00authored bySarah J. Nyante, Linn Abraham, Erin J. Aiello Bowles, Christoph I. Lee, Karla Kerlikowske, Diana L. Miglioretti, Brian L. Sprague, Louise M. Henderson
Ultrasound/MRI use by age and racial/ethnic group
History
ARTICLE ABSTRACT
We evaluated diagnostic mammography among women with a breast lump to determine whether performance varied across racial and ethnic groups.
This study included 51,014 diagnostic mammograms performed between 2005 and 2018 in the Breast Cancer Surveillance Consortium among Asian/Pacific Islander (12%), Black (7%), Hispanic/Latina (6%), and White (75%) women reporting a lump. Breast cancers occurring within 1 year were ascertained from cancer registry linkages. Multivariable regression was used to adjust performance statistic comparisons for breast cancer risk factors, mammogram modality, demographics, additional imaging, and imaging facility.
Cancer detection rates were highest among Asian/Pacific Islander [per 1,000 exams, 84.2 (95% confidence interval (CI): 72.0–98.2)] and Black women [81.4 (95% CI: 69.4–95.2)] and lowest among Hispanic/Latina women [42.9 (95% CI: 34.2–53.6)]. Positive predictive values (PPV) were higher among Black [37.0% (95% CI: 31.2–43.3)] and White [37.0% (95% CI: 30.0–44.6)] women and lowest among Hispanic/Latina women [22.0% (95% CI: 17.2–27.7)]. False-positive results were most common among Asian/Pacific Islander women [per 1,000 exams, 183.9 (95% CI: 126.7–259.2)] and lowest among White women [112.4 (95% CI: 86.1–145.5)]. After adjustment, false-positive and cancer detection rates remained higher for Asian/Pacific Islander and Black women (vs. Hispanic/Latina and White). Adjusted PPV was highest among Asian/Pacific Islander women.
Among women with a lump, Asian/Pacific Islander and Black women were more likely to have cancer detected and more likely to receive a false-positive result compared with White and Hispanic/Latina women.
Strategies for optimizing diagnostic mammography among women with a lump may vary by racial/ethnic group, but additional factors that influence performance differences need to be identified.