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. 2025 Jul 28;30:680. doi: 10.1186/s40001-025-02950-4

Table 3.

Univariate logistic regression analysis for predicting non-ALNM

Characteristic OR 95% CI P
Education
 Primary school and below
 Middle school 0.52 0.25, 1.06 0.073
 College degree and above 0.97 0.45, 2.07 0.933
Menopausal status
 Yes
 No 1.56 0.90, 2.71 0.115
Reproductive history
 Yes
 No 3.53 0.86, 14.50 0.08
CA125(U/mL) 1.01 1.00, 1.02 0.242
ER status
 Positive
 Negative 2.01 1.15, 3.53 0.015*
ER-positive percentage 0.99 0.99, 1.00 0.139
PR-positive percentage 1 0.99, 1.01 0.454
BI-RADS(US)
 5
 4c 2.23 1.13, 4.41 0.021*
 4b 2.44 1.11, 5.39 0.027*
 4a 8.24 3.21, 21.16  < 0.001***
ALN cortical-medullary boundary
 Unclear
 Clear 14.31 6.93, 29.56  < 0.001***
ALN cortical thickness
 Thickening
 Normal 339.44 76.39, 1,508.30  < 0.001***
ALN short-axis diameter (mm) 0.72 0.63, 0.81  < 0.001***
ALN TIC type
 III
 II 0.7 0.19, 2.61 0.592
 I 1.24 0.29, 5.40 0.773
0 6 1.48, 24.30 0.012*
BI-RADS(MRI)
 V
 III/IV 14.88 5.26, 42.14  < 0.001***
ALN maximum inflow slope of TIC 0.98 0.83, 1.16 0.847

OR odds ratio; CI: confidence interval; ER: estrogen receptor; PR: progesterone receptor; ALN: axillary lymph node; TIC: tumor time-intensity curve

*P < 0.05

**P < 0.01

***P < 0.001