Table 3.

The association between automated TDLU measures and breast cancer risk was evaluated using unconditional logistic regression models to estimate ORs and 95% CIs.

Quartile 1Quartile 2Quartile 3Quartile 4Ptrend
Median TDLU span
 Cases/Controls, n65/27172/27073/27177/271
 Model 1Ref1.07 (0.73–1.57)0.98 (0.67–1.45)0.96 (0.65–1.43)0.75
 Model 2Ref0.94 (0.64–1.39)0.92 (0.62–1.37)0.89 (0.59–1.33)0.56
TDLU counts/mm2
 Cases/Controls, n67/27173/27071/27176/271
 Model 1Ref1.10 (0.75–1.60)1.06 (0.73–1.55)1.17 (0.80–1.71)0.45
 Model 2Ref1.04 (0.71–1.53)0.96 (0.65–1.41)1.15 (0.79–1.69)0.49
Median acini counts/TDLU
 Cases/Controls, n26/12179/34889/31193/303
 Model 1Ref1.02 (0.63–1.71)1.21 (0.75–2.02)1.19 (0.73–1.99)0.40
 Model 2Ref0.94 (0.57–1.57)1.00 (0.61–1.69)1.05 (0.64–1.77)0.59
Median TDLU area
 Cases/Controls, n58/27178/27066/27185/271
 Model 1Ref1.29 (0.88–1.91)0.99 (0.66–1.49)1.19 (0.79–1.78)0.72
 Model 2Ref1.15 (0.78–1.71)0.87 (0.57–1.31)1.10 (0.73–1.66)0.90
% TDLU area (total)
 Cases/Controls, n58/27182/27063/27184/271
 Model 1Ref1.34 (0.92–1.98)0.99 (0.66–1.48)1.18 (0.79–1.78)0.82
 Model 2Ref1.15 (0.78–1.71)0.86 (0.57–1.30)1.04 (0.69–1.58)0.90
% TDLU area (nonadipose)
 Cases/Controls, n58/27187/27057/27185/271
 Model 1Ref1.42 (0.97–2.08)0.89 (0.59–1.34)1.22 (0.82–1.82)0.81
 Model 2Ref1.23 (0.84–1.82)0.80 (0.52–1.21)1.10 (0.73–1.66)0.98
Acini counts/mm2
 Cases/Controls, n64/27171/27069/27183/271
 Model 1Ref1.09 (0.74–1.61)0.99 (0.67–1.47)1.10 (0.75–1.63)0.72
 Model 2Ref0.98 (0.67–1.45)0.86 (0.58–1.29)1.03 (0.69–1.53)0.83
Median acini density
 Cases/Controls, n57/27189/27061/27180/271
 Model 1Ref1.59 (1.09–2.33)1.08 (0.72–1.62)1.33 (0.91–1.96)0.49
 Model 2Ref1.54 (1.05–2.27)1.05 (0.70–1.58)1.36 (0.92–2.01)0.41
  • Note: Each quantitative TDLU measure was categorized into quartiles as defined by the distribution among the controls. Model 1 adjusted for matching factors. Model 2 adjusted for matching factors and BBD histologic subtypes. The median value for each quartile was included as a continuous variable in the unconditional logistic regression for Model 1 and 2 to obtain the Ptrend value (Wald test).