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. 2023 Sep 26;154(3):503–510. doi: 10.1097/PRS.0000000000011085

Table 3.

Multiple Linear Regression Analysis, Predictors for Postoperative Lumpectomy Size

Predictors Model 1 (R2 = 0.616) Model 2 (R2 = 0.598)
β Coefficient 95% CI P β Coefficient 95% CI P
Intercept 31.868 18.034, 45.703 <0.001 32.710 20.394, 45.026 <0.001
BMI 1.133 0.819, 1.446 <0.001 1.127 0.808, 1.446 <0.001
Age 0.140 0.013, 0.268 0.031
Breast size
 B 1.560 −3.499, 6.619 0.545 1.852 −3.316, 7.020 0.482
 C 4.774 −0.278, 9.826 0.064 4.962 −0.187, 10.110 0.059
 D 9.736 4.534, 14.938 <0.001 9.733 4.418, 15.047 <0.001
 E 11.423 5.643, 17.204 <0.001 12.322 6.423, 18.221 <0.001
 F 13.007 6.031, 19.983 <0.001 12.916 5.792, 20.039 <0.001
 G 16.760 7.313, 26.206 <0.001 15.969 6.327, 25.610 0.001
 H 34.983 20.234, 49.732 <0.001 34.710 19.632, 49.788 <0.001
 I 27.611 10.118, 45.105 0.002 31.376 13.562, 49.190 <0.001
Maximum radiologic
diametera
0.540 0.446, 0.634 <0.001 0.597 0.504, 0.690 <0.001
No plastic surgeon −7.095 −10.361, −3.829 <0.001
a

Maximum diameter of total area to be excised on magnetic resonance imaging, ultrasound, or mammography, including all foci of pathologically proven invasive tumor and carcinoma in situ and nonmass enhancement.