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. 2019 Mar 11;20(4):671–682. doi: 10.3348/kjr.2018.0400

Table 4. Results of Multivariate Logistic Regression Analysis including Either (a) Presence of Protrusion or (b) Protrusion Ratio.

CT Findings Odds Ratio 95% CI P
(a)*
 Long-axis diameter (cm) 2.573 0.991–6.682 0.052
 Presence of protrusion 9.855 1.749–55.535 0.009
 Lobulated contour 5.598 0.761–41.194 0.091
 Pre-contrast attenuation ≥ 35 HU 4.808 0.654–35.337 0.123
 Post-contrast attenuation ≥ 60 HU 12.734 2.506–64.705 0.002
(b)*
 Long-axis diameter (cm) 2.574 0.983–6.743 0.054
 Protrusion ratio ≥ 13% 9.346 1.638–53.318 0.012
 Lobulated contour 6.449 0.927–44.858 0.060
 Pre-contrast attenuation ≥ 35 HU 5.329 0.731–38.837 0.099
 Post-contrast attenuation ≥ 60 HU 13.145 2.602–66.417 0.002

*Other variables were removed from analysis using backward enter model, in which variables that show low significance level with p value larger than 0.1 are removed from regression model. CI = confidence interval