Document Type
Article
Publication Date
12-1-2020
Abstract
Introduction: Digital breast tomosynthesis (DBT) may decrease recall rates (RRs) and improve positive predictive values (PPVs) and cancer detection rates (CDRs) versus full-field digital mammography (FFDM). The value of DBT has not been assessed in New Mexico's rural and minority population. Objectives of this study were to compare RRs, CDRs, and PPVs using FFDM+DBT versus FFDM in screening mammograms at the University of New Mexico between 2013 and 2016 and to qualitatively evaluate patient decision-making regarding DBT. Materials and Methods: RRs, CDRs, and PPVs with 95% confidence intervals and relative risk were calculated from 35,147 mammograms. The association between relative risk and mammography approach was tested using Pearson's chi-square test. Twenty women undergoing screening were interviewed for qualitative evaluation of decision-making. Results: From 2013 to 2016, RRs were 8.4% and 11.1% for FFDM+DBT and FFDM, respectively. The difference in RRs became more pronounced with time. No significant difference was observed in PPVs or CDRs. Qualitative interviews revealed that the majority had limited prior knowledge of DBT and relied on provider recommendations. Conclusion: In New Mexico women undergoing screening mammography, a 30% relative risk reduction in RRs was observed with FFDM+DBT. Qualitative interviews suggest that women are aware of and receptive to DBT, assuming adequate educational support. Clinical Trials.gov ID: NCT03979729.
Publisher
Mary Ann Liebert, Inc.
Publication Title
Journal of women's health (2002)
ISSN
1931-843X
Volume
29
Issue
12
First Page
1596
Last Page
1601
DOI
10.1089/jwh.2020.8402
Recommended Citation
Manda-Mapalo MT, Fine SG, Safadi S, Lee JH, Du R, Sussman AL, Mishra S, Selwyn RG, Saline JL, Hine WL, Brown-Glaberman UA. Breast Cancer Screening Among Medically Underserved Women in New Mexico: Potential for Lower Recall Rates with Digital Breast Tomosynthesis. J Womens Health (Larchmt). 2020 Dec;29(12):1596-1601. doi: 10.1089/jwh.2020.8402. Epub 2020 Sep 29. PMID: 32991242; PMCID: PMC8020518.