Effect of Digital Mammography for Breast Cancer Screening: A Comparative Study of More than 8 Million Korean Women

Abstract

Background: Full field digital mammography (FFDM) has been accepted as a superior modality for breast cancer screening compared with conventional screen-film mammography (SFM), especially in woman younger than 50 years or with dense breasts. Purpose: To evaluate the accuracy of FFDM for breast cancer screening. Materials and Methods:Data from January 1, 2011 to December 31, 2013 in the database from a nationwide breast cancer screening program linked with the national cancer registry were retrospectively analyzed, The study included Korean women aged 40-79 years who had undergone screening mammography with SFM, computed radiography (CR), or FFDM, The sensitivity, specificity, positive predictive value (PPV), and absolute and relative differences among these modalities were calculated, followed by pairwise comparison tests with multiple testing corrections. The areas under the receiver operating characteristic curve (AUCs) were also estimated and compared by using the DeLong method with Bonferroni correction. Results:Among the 8482 803 women included (mean age, 55 years +/- 10), 34.4% (2920 279 of 8482 803), 51.7% (4385 807 of 8482 803), and 13.9% (1 176717 of 8482 803) underwent SFM, CR, and FFDM, respectively The sensitivity and PPV were higher for FFDM than for SFM (adjusted odds ratio, 1.77 [95% confidence interval{CI}: 1.62, 1.95] for sensitivity and 1.36 [95% CI: 1.29, 1.43]for PPV) and CR (adjusted odds ratio, 1.70 [95% CI: 1.56, 1.85] for sensitivity and 1.26 [95% CI: 1.20, 1.32] for PPV), whereas specificity was lower with FFDM. The overall AUC for FFDM was 0.80 (95% CI: 0.80, 0.81), which was higher than that for SFM (0.75 [95% CI: 0.75, 0.76]) and CR (0.76 [95% CI: 0.75, 0.76]). P < .05 was found for differences in sensitivity, PPV, and AUC among modalities overall and in most of die subgroups of age, breast density, and screening round. Conclusion: Full-field digital mammography allows better discrimination prediction of breast cancer in the general female population than screen-film mammography or computed radiography, regardless of age, breast density, screening round. (C) RSNA, 2019