Table 4 Multivariate logistic regression of three models for differentiation of fibrotecoma and BLM.
From: MRI-based nomogram for differentiation of ovarian fibrothecoma and broad ligament myoma
Model | Variables | Weight | OR (95% CI) | P-value |
|---|---|---|---|---|
Model 1 | Age | − 0.051 | 0.950 (0.909–0.992) | 0.021 |
r-T1 | − 7.952 | 0.004 (0.001–0.014) | < 0.001 | |
r-T2 | − 0.882 | 0.414 (0.225–0.761) | 0.005 | |
Model 2 | Enhancement | 1.901 | 6.755 (2.477–18.418) | < 0.001 |
Stone paving sign | 3.109 | 22.405 (3.359–149.46) | 0.001 | |
Ovary sign | 1.566 | 4.787 (0.937–24.445) | 0.043 | |
Ascites | − 2.394 | 0.091 (0.014–0.586) | 0.012 | |
Model 3 | r-T1 | − 6.246 | 0.002 (0.001–0.168) | 0.006 |
Enhancement | 1.561 | 4.762 (1.696–13.369) | 0.003 | |
Stone paving | 2.969 | 19.475 (2.700–140.47) | 0.003 | |
Ascites | − 2.973 | 0.051 (0.006–0.431) | 0.006 |
