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. 2021 Jan 1;12(3):799–806. doi: 10.7150/jca.49441

Table 2.

Univariate and multivariate logistic regression analyses in the primary cohort

Variables Univariate analysis Multivariate analysis
OR (95% CI) P value OR (95% CI) P value
Age (years)
≤50 Referent Referent
>50 4.460 (2.154-9.236) <0.001 2.767 (1.046-7.320) 0.040
Tumor size (mm)
≤20 Referent Referent
>20 7.491 (3.847-14.587) <0.001 3.579 (1.414-9.061) 0.007
Tumor location
UOQ Referent
Othersa 1.057 (0.586-1.906) 0.853
Mass shape
Oval or round Referent Referent
Irregular 7.227 (2.991-17.462) <0.001 1.414 (0.434-4.603) 0.565
Mass margin
Circumscribed Referent Referent
Non-circumscribedb 11.326 (5.854-21.916) <0.001 3.547 (1.328-9.470) 0.012
Internal enhancement characteristics
Non-homogeneousc Referent Referent
Homogeneous 0.037 (0.018-0.079) <0.001 0.116 (0.046-0.292) <0.001
Kinetics curve
Persistent Referent Referent
Non-persistent 25.330 (11.044-58.076) <0.001 7.875 (2.547-24.344) <0.001

Note. UOQ = upper outer quadrant. aOthers: UIQ = upper inner quadrant, LIQ = lower inner quadrant, LOQ = lower outer quadrant. bNon-circumscribed: speculated, irregular. cNon-homogeneous: heterogeneous, rim.