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. Author manuscript; available in PMC: 2013 Sep 13.
Published in final edited form as: Ann Intern Med. 2013 Apr 16;158(8):580–587. doi: 10.7326/0003-4819-158-8-201304160-00002

Appendix Table 3.

CAD Use and Breast Cancer Diagnostic Testing Among Women Without Breast Cancer, Stratified by Mammography Use in the Previous 24 Months and Whether Previous Mammography Was CAD or Non-CAD*

Diagnostic Test, by Previous Mammography Stratum Non-CAD, n
(unadjusted %)
CAD, n
(unadjusted %)
Adjusted OR
(95% CI)
P Value
Non-CAD mammography in previous 9–24 mo (n = 222 861)

  Diagnostic mammography 10 122 (5.39) 2720 (7.19) 1.32 (1.31–1.34) <0.001

  Breast ultrasonography 6476 (3.45) 1446 (3.82) 1.14 (1.12–1.16) <0.001

  Either diagnostic mammography or breast ultrasonography 12 906 (6.88) 3202 (8.47) 1.25 (1.24–1.27) <0.001

  Breast biopsy 2259 (1.20) 533 (1.41) 1.22 (1.18–1.25) <0.001
CAD mammography in previous 9–24 mo (n = 56 700)

  Diagnostic mammography 197 (5.89) 3412 (6.32) 1.13 (1.08–1.18) <0.001

  Breast ultrasonography 124 (3.71) 1711 (3.17) 0.85 (0.81–0.90) <0.001

  Either diagnostic mammography or breast ultrasonography 250 (7.47) 3899 (7.22) 1.01 (0.97–1.04) 0.80

  Breast biopsy 45 (1.34) 601 (1.11) 0.82 (0.76–0.90) <0.001
No previous mammography in the past 24 mo or previous
mammography >24 mo (n = 89 795)

  Diagnostic mammography 4834 (7.06) 1889 (8.44) 1.20 (1.18–1.22) <0.001

  Breast ultrasonography 3290 (4.81) 1124 (5.02) 1.02 (1.00–1.04) 0.093

  Either diagnostic mammography or breast ultrasonography 6202 (9.06) 2240 (10.01) 1.12 (1.10–1.13) <0.001

  Breast biopsy 4834 (7.06) 1889 (8.44) 1.07 (1.03–1.11) <0.001

CAD = computer-aided detection; OR = odds ratio.

*

Based on 369 356 mammograms from 116 738 women.

Adjusted for age, race or ethnicity, rural vs. urban residence, median income of elderly residents within the same ZIP code, presence of stable and unstable comorbid conditions, digital vs. film mammography, year of examination, SEER (Surveillance, Epidemiology and End Results) region, and a radiologist-level random effect. Owing to missing covariate data, adjusted analyses include 337 753 mammograms from 99 540 women.