Table 3.
Logistic analysis of continuous variables
| Univariate logistic analysis | Multiple logistic analysis | ||||||
|---|---|---|---|---|---|---|---|
| Factor | OR | 95%CI | p-value | Factor | OR | 95%CI | p-value |
| Sex (male) | 0.75 | 0.38–1.50 | 0.429 | Age (≥60) | 1.62 | 0.67–3.88 | 0.282 |
| Age (≥60) | 4.40 | 2.12–9.11 | 0.0005> | Tumor size (≥10) | 1.89 | 0.82–4.29 | 0.130 |
| Tumor size (≥10) | 3.20 | 1.57–6.54 | 0.00143 | PIC | 24.5 | 3.55–170 | 0.0012 |
| Location (trunk) | 1.87 | 0.94–3.71 | 0.0717 | ||||
| Deep | 1.25 | 0.61–1.54 | 0.549 | ||||
| DD | 1.40 | 0.99–1.97 | 0.0565 | ||||
| PIC | 50.9 | 8.70–297 | 0.0001> | ||||
| SF | 1.04 | 0.98–1.10 | 0.132 | ||||
| TAT | 0.99 | 0.95–1.03 | 0.703 | ||||
Logistic analysis was performed to detect malignancy using continuous values of DD, PIC, SF and TAT. Multivariate analysis was performed on the significant factors identified in the univariate analysis