scholarly journals Racial/ethnic differences in supplemental imaging for breast cancer screening in women with dense breasts

2020 ◽  
Vol 182 (1) ◽  
pp. 181-185 ◽  
Author(s):  
Charlotte Ezratty ◽  
Suzanne Vang ◽  
Jordonna Brown ◽  
Laurie R. Margolies ◽  
Lina Jandorf ◽  
...  
Cancer ◽  
1992 ◽  
Vol 69 (1) ◽  
pp. 165-174 ◽  
Author(s):  
Sally W. Vernon ◽  
Victor G. Vogel ◽  
Susan Halabi ◽  
Gilchrist L. Jackson ◽  
Ray O. Lundy ◽  
...  

Radiology ◽  
2011 ◽  
Vol 258 (1) ◽  
pp. 106-118 ◽  
Author(s):  
Deborah J. Rhodes ◽  
Carrie B. Hruska ◽  
Stephen W. Phillips ◽  
Dana H. Whaley ◽  
Michael K. O’Connor

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e13586-e13586
Author(s):  
Richa Bansal ◽  
Bharat Aggarwal ◽  
Lakshmi Krishnan

e13586 Background: Screening mammography is often found to have low sensitivity in women with high density breast tissues. Alternate modalities of breast USG and MRI require high-quality expensive equipment making the regular screening with these modalities less affordable and accessible, particularly in resource-constrained settings This study evaluates the clinical performance of an AI-based test (Thermalytix) that uses machine learning on breast thermal images which could potentially be a low-cost solution for breast screening in low- and middle-income countries (LMICs). Methods: The prospective comparative study conducted from December 2018 to January 2020 evaluated the performance of Thermalytix in women with dense and non-dense breast tissue who presented for a health check-up at a hospital. All women underwent Thermalytix and mammography. Further investigations were recommended for participants who were reported as positive on either test. Sensitivity and specificity of Thermalytix were evaluated across age-groups, menopausal status, and breast densities. Results: Among the 687 women recruited for the study, 459 women who satisfied the inclusion criteria were included in the analysis. 168 women had ACR categories ‘c’ or ‘d’ dense breasts, of which 37 women had an inconclusive mammography report (BI-RADS 0). Overall, 21 women were detected with breast cancer in the study. Thermalytix demonstrated an overall sensitivity of 95.2% (95% CI, 76.1-99·9) and a specificity of 88.6% (95% CI, 85.2-91.4). Among women with dense breast tissue (n=168), Thermalytix showed a sensitivity of 100% (95% CI, 69.2-100) and a specificity of 81.7% (95% CI, 74.7-87.4). In women with ACR categories ‘c’ and ‘d’ dense breasts, mammography reported 22% of them as inconclusive (BI-RAD 0), while in the same sub-set of the population Thermalytix demonstrated a sensitivity of 100%. Conclusions: The AI-based Thermalytix demonstrated high sensitivity and specificity in the study cohort. It also fared well in women younger than 50 years and pre-menopausal women where routine mammography screening yields low sensitivity. Overall, this study introduces Thermalytix, a promising radiation-free, automated, and privacy-aware test that can supplement mammography for routine screening of women, especially in women with dense breast tissue, and has the potential to influence the clinical practice in LMICs by making breast cancer screening portable and affordable. Performance of Thermalytix and mammography in women with high breast densities (ACR categories ‘c’ and ‘d’ breasts). Clinical trial information: NCT04688086. [Table: see text]


2016 ◽  
Vol 8 (2) ◽  
pp. 55-62 ◽  
Author(s):  
Stephanie Lynn Chau ◽  
Amy Alabaster ◽  
Karin Luikart ◽  
Leslie Manace Brenman ◽  
Laurel A. Habel

Purpose: Half of US states mandate women be notified if they have dense breasts on their mammogram, yet guidelines and data on supplemental screening modalities are limited. Breast density (BD) refers to the extent that breast tissue appears radiographically dense on mammograms. High BD reduces the sensitivity of screening mammography and increases breast cancer risk. The aim of this study was to determine the potential impact of California’s 2013 BD notification legislation on breast cancer screening patterns. Methods: We conducted a cohort study of women aged 40 to 74 years who were members of a large Northern California integrated health plan (approximately 3.9 million members) in 2011-2015. We calculated pre- and post-legislation rates of screening mammography and magnetic resonance imaging (MRI). We also examined whether women with dense breasts (defined as BI-RADS density c or d) had higher MRI rates than women with nondense breasts (defined as BI-RADS density a or b). Results: After adjustment for race/ethnicity, age, body mass index, medical facility, neighborhood median income, and cancer history, there was a relative 6.6% decrease (relative risk [RR] 0.934, confidence interval [CI] 0.92-0.95) in the rate of screening mammography, largely driven by a decrease among women <50 years. While infrequent, there was a relative 16% increase (RR 1.16, CI 1.07-1.25) in the rate of screening MRI, with the greatest increase among the youngest women. In the postlegislation period, women with extremely dense breasts (BI-RADS d) had 2.77 times (CI 1.93-3.95) the odds of a MRI within 9 months of a screening mammogram compared with women with nondense breasts (BI-RADS b). Conclusions: In this setting, MRI rates increased in the postlegislation period. In addition, women with higher BD were more likely to have supplementary MRI. The decrease in mammography rates seen primarily among younger women may have been due to changes in national screening guidelines.


2020 ◽  
Vol 38 (29_suppl) ◽  
pp. 101-101
Author(s):  
Sarah D Tait ◽  
Yi Ren ◽  
Cushanta C. Horton ◽  
Sachiko M. Oshima ◽  
Samantha M. Thomas ◽  
...  

101 Background: Overall breast cancer mortality in the US has declined since 1990, but racial/ethnic disparities have worsened. Since 1992, NC BCCCP has provided free/low-cost breast cancer screening to underserved women as part of a national effort by the Centers for Disease Control and Prevention (CDC) to mitigate these disparities. We sought to characterize and evaluate benchmarks for this previously unstudied, state-level cohort. Methods: We identified women ≥18y who underwent their first breast cancer screening via NC BCCCP from 2009-2018. Univariate analysis was used to compare differences in timeline of care and rates of breast pathology (i.e., cancer or atypia) by race/ethnicity and age. Logistic and negative binomial regression were used to identify factors associated with cancer diagnosis and time from enrollment to diagnosis (TTD) and treatment (TTT), respectively. Results: 88,893 women with complete records were identified (median age 50y, IQR 44-56): 45.5% were Non-Hispanic (NH) white, 30.9% NH black, 19.5% Hispanic, 1.7% American Indian (AI), and 1.1% Asian. Overall participation peaked in 2012 but steadily increased among Hispanic women over time (p < 0.001). Breast pathology was diagnosed in 2,016 (2.3%) women, with rates ranging from 1% in Hispanic women to 2.7% in NH whites. After adjustment, Hispanic women were least likely (vs NH white women: OR 0.40; 95% CI 0.34-0.47) to be diagnosed with breast cancer. Median TTD was 19d and TTT was 33d, both within the CDC’s 60d standard. In univariate analyses, women < 50 had shorter TTD (median 18d vs 21d) and TTT (median 30d vs 35d) vs women ≥50 (both p < 0.01), and there were no significant differences by race/ethnicity or between women with atypia vs cancer. In multivariate models, however, older age and NH black race were associated with longer TTD and TTT. Conclusions: NC BCCCP meets national quality benchmarks for TTD and TTT. These data also highlight broader opportunities to achieve racial/ethnic parity and improve equity for breast cancer prevention. [Table: see text]


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