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表5 训练集单因素和多因素Logistics回归分析
Table 5 Univariate and multivariate logistic regression analysis of the training set
Univariate analysis Multivariate analysis
Variable
OR(95%CI) P OR(95%CI) P
Growth pattern 0 000 000.74(0.12-4.37) 0.739
Tumor diameter 0 000 001.01(0.96-1.06) 0.838
Echo 9 116 537.03(0-Inf) 0.991
Internal echo 0 000 000.87(0.29-2.59) 0.796
Margin 0 000 002.82(0.30-26.86) 0.366
Form 0 000 002.16(0.40-11.66) 0.372
Spiculated margins 0 000 003.26(1.13-9.43) 0.029 04.16(1.25-13.79) 0.020
Corner edge 0 000 000.81(0.23-2.76) 0.731
Hyperechoic halo 0 000 001.59(0.29-8.59) 0.590
Rear echo attenuation 0 000 002.07(0.60-7.12) 0.247
Calcification 0 000 001.98(0.70-5.56) 0.198
Tumorblood suppl 0 000 001.26(0.30-5.22) 0.753
Lymph node morphology 0 000 007.05(0.74-67.25) 0.090
Lymph node growth pattern 9 116 537.03(0-Inf) 0.991
Echoes inside lymph nodes 0 000 003.22(0.28-37.52) 0.351
Cortical thickness 0 000 007.78(1.87-32.34) 0.005 02.52(0.35-18.11) 0.359
Lymphatic hilum structure 0 000 014.39(1.64-125.98) 0.016 19.20(1.98-186.36) 0.011
Lymph node blood suppl 0 000 005.05(0.49-51.54) 0.172
A B
C D
A:Ultrasoundimage of breast tumor in a patient with axillary lymph node metastasis,showing spiculated margins.B:Ultrasound feature of axillary
lymph nodes in a patient with axillary lymph node metastasis,displayinganunclear cortical structure. C:Ultrasoundimage of breast tumor in a patient
without axillary lymph node metastasis. D:Ultrasound image of axillary lymph nodes in a patient without axillary lymph node metastasis.
图1 外侧象限乳腺癌患者腋窝淋巴结转移与未转移患者的乳腺肿瘤及腋窝淋巴结超声图像
Figure 1 Ultrasound images of breast tumors and axillary lymph nodes in patients with lateral quadrant breast cancer,
showing metastasis and non⁃metastasis in the axillary lymph nodes

