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. Author manuscript; available in PMC: 2017 Feb 1.
Published in final edited form as: J Am Coll Surg. 2015 Nov 25;222(2):138–145. doi: 10.1016/j.jamcollsurg.2015.11.013

Table 4.

Multivariable Logistic Regression Models for Axillary Lymph Node Dissection According to Axillary Imaging Results

Odds Ratio 95% CI p Value
Mammography
 Age 1.02 0.99–1.04 0.18
 Imaging tumor size, cm 1.50 1.14–1.97 0.0039
 Total nodes removed at SLNB 1.33 1.20–1.48 <0.0001
 No abnormal LNs on mammogram 1.0 (ref)
 Abnormal LNs on mammogram 2.61 1.10–6.18 0.030
Ultrasound
 Age 1.02 0.99–1.04 0.20
 Imaging tumor size 1.57 1.19–2.07 0.0014
 Total nodes removed at SLNB 1.31 1.18–1.45 <0.0001
 No abnormal LNs on US 0.57 0.30–1.07 0.079*
 Abnormal LNs on US 1.55 1.27–5.88 0.25*
 Axillary US not done 1.0 (ref)
MRI
 Age 1.01 0.99–1.04 0.29
 Imaging tumor size 1.51 1.15–1.99 0.0033
 Total nodes removed at SLNB 1.32 1.19–1.46 <0.0001
 No abnormal LNs on MRI 0.80 0.40–1.59 0.52
 Abnormal LN on MRI 1.47 0.68–3.16 0.33
 MRI not done 1.0 (ref)
Combined axillary imaging
 Age 1.02 0.99–1.04 0.17
 Imaging tumor size 1.56 1.18–2.07 0.0017
 Total nodes removed at SLNB 1.30 1.17–1.44 <0.0001
 No abnormal LNs on US or MRI 1.0 (ref)
 Abnormal LNs on US or MRI 3.22 1.65–6.29 0.0006
 Imaging with mammogram only 1.55 0.76–3.16 0.23
*

p Value for overall type 3 test is 0.0030.

p Value for overall type 3 test is 0.380.

p Value for overall type 3 test is 0.0028.

LN, lymph node; ALND, axillary lymph node dissection; US, ultrasound.