Table 3 Sensitivity, specificity, AUC and 95% CI of the single characteristic features.

From: Fisher discriminant model based on LASSO logistic regression for computed tomography imaging diagnosis of pelvic rhabdomyosarcoma in children

 

Se (95% CI)

Sp (95% CI)

AUC (95% CI)

Heterogeneous progressive centripetal enhancement

0.861 (0.697–0.948)

0.882 (0.790–0.939)

0.872 (0.795–0.948

Enhancement at surrounding blood vessels

0.806 (0.634–0.912)

0.812 (0.709–0.885)

0.809 (0.720–0.898)

Multinodular fusion

0.639 (0.462–0.787)

0.882 (0.790–0.939)

0.761 (0.658–0.864)

Lower than normal muscle density

0.972 (0.838–0.999)

0.400 (0.297–0.512)

0.686 (0.592–0.780)

Hemorrhage

0.861 (0.697–0.948)

0.329 (0.234–0.441)

0.595 (0.489–0.701)

Ring enhancement

0.139 (0.052–0.303)

0.929 (0.847–0.971)

0.534 (0.419–0.649)

  1. Se sensitivity, Sp specificity, CI confidence interval, AUC area under the curve.
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