Skip to main content

Table 4 Diagnostic performance of various indexes, including clinical parameters, conventional image features and textural IBMs

From: Improving the diagnosis of common parotid tumors via the combination of CT image biomarkers and clinical parameters

Index

AUC

P Value

95% CI

Cutoff value

Sensitivity

Specificity

Gender

0.171

<0.01

0.084–0.258

1.500

0.048

0.294

Age

0.784

<0.01

0.686–0.881

47.500

0.976

0.608

Disease duration

0.347

0.011

0.235–0.458

3.500

0.476

0.255

Smoking status

0.177

<0.01

0.088–0.267

1.500

0.119

0.235

Site (in the tail)

0.205

<0.01

0.109–0.301

1.500

0.214

0.196

Maximum diameter

0.652

0.012

0.541–0.762

1.83

0.881

0.412

TDC (washout type)

0.079

<0.01

0.014–0.145

1.500

0.119

0.039

Peripheral vessels sign

0.210

<0.01

0.111–0.309

1.500

0.381

0.039

Mean

0.902

<0.01

0.840–0.964

67.364

0.905

0.765

Energy

0.910

<0.01

0.851–0.970

42,558,500

0.738

0.961

Entropy

0.805

<0.01

0.717–0.893

1.767

0.738

0.725

Uniformity

0.235

<0.01

0.138–0.331

0.211

1

0.020

  1. Abbreviations: IBMs Image biomarkers, TDC Time-density curve, AUC Area under ROC curve