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. 2024 Mar 21;13:210. [Version 1] doi: 10.12688/f1000research.145872.1

Table 4. Logistic regression analysis for predicting non-benign phyllodes tumor.

Variable Univariate Multivariate
OR (95% CI) P value OR (95% CI) P value
Menstrual status
Pre-menopause (R) 1 1
Menopause 6.61 (1.64,26.64) 0.008 * 13.79 2.31,82.24) 0.004 *
Location
Other location (R) 1 -
Entire breast 5.14 (1.37,19.33) 0.015 *
Ultrasonographic features
Size 0.037 *
< 5 cm (R) 1 -
5-10 cm 0.56 (0.06,5.24) 0.608
>10 cm 15 (1.32,169.87) 0.029 *
Echogenicity
Hypoechogenicity (R) 1 -
Heterogeneous echo 5.67 (1.53,20.98) 0.009 *
Vascularity 0.077 0.016 *
Internal vascularity (R) 1 1
Absent 1.47(0.65,18.63) 0.147 8.45 (1.03,69.15) 0.047 *
Vessels in rim 6.94 (0.99,48.55) 0.051 16.51(1.59,171.96) 0.019 *
*

Statistically significant at p value 0.05.

(R) = Reference.