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Table 2 Univariate and multivariate analysis

From: Value of digital mammography in predicting lymphovascular invasion of breast cancer

FactorsUnivariate analysisMultivariate analysis
OR (95% CI)POR (95% CI)P
Interstitial edema4.471(1.260,15.864)0.02012.610(1.061,149.922)0.045
Subcutaneous fat1.213(0.458,3.207)0.6980.081(0.012,0.645)0.017
Thicken Skin4.333(1.899,9.891)0.0009.041(2.553,32.022)0.001
ER0.475(0.216,1.044)0.0641.595(0.252,10.084)0.62
PR0.481(0.224,1.034)0.0610.508(0.085,3.035)0.458
HER-21.003(0.429,2.345)0.9941.436(0.462,4.466)0.532
Ki-67
 Moderate0.690(0.209,2.273)0.5410.382(0.094,1.551)0.178
 High2.581(0.948,7.022)0.0631.298(0.350,4.809)0.696
 P531.920(0.827,4.457)0.1292.115(0.739,6.050)0.163
Amount of fibroglandular tissue
 Heterogeneous fibroglandular tissue0.948(0.414,2.179)0.8991.439(0.491,4.215)0.507
 Extreme fibroglandular tissue1.856(0.630,5.469)0.2623.773(0.707,20.154)0.12
Size1.928(0.890,4176)0.0960.921(0.294,2.891)0.889
Nipple retraction2.267(0.914,5.621)0.0771.299(0.281,5.991)0.738
Single/multiple1.158(0.476,2.819)0.7461.183(0.336,4.165)0.793
Lesions1.057(0.500,2.233)0.8850.712(0.256,1.979)0.514
Mass shape0.472(0.163,1.365)0.1660.624(0.128,3.047)0.56
Margin0.224(0.043,1.389)0.1120.424(0.032,5.630)0.516
Boundary
 Obscure1.469(0.586,3.684)0.4131.483(0.439,5.007)0.526
 Shield1.131(0.436,2.935)0.8000.997(0.246,4.043)0.997
Axillary lymph node enlargement1.716(0.797,3.694)0.1680.909(0.295,2.805)0.868
E-cad0.250(0.043,1.452)0.122  
Location
 Outer lower0.510(0.054,4.819)0.557  
 Lower inner1.021(0.314,3.320)0.973  
 Upper inner1.361(0.434,4.267)0.597  
 Central area1.531(0.477,4.913)0.474  
Calcification1.857(0.601,5.734)0.166  
Family history1.927(0.117,31.602)0.646  
History of giving birth2.158(0.233,19.947)0.498  
History of abortion0.781(0.339,1.799)0.561  
CA15–31.925(0.261,14.179)0.52  
History of related illness0.463(0.050,4.284)0.498