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Table 4 ROC curve analysis of three single functional models in discrimination between OC invasion and OC non-invasion

From: The utility of texture analysis based on quantitative synthetic magnetic resonance imaging in nasopharyngeal carcinoma: a preliminary study

Models

OC invasion

OC non-invasion

P

Model fit

AUC (95% CI)

Sensitivity%

Specificity%

Accuracy%

T1 map derived model

   

1.000

0.997 (0.990, 1.000)

96.9

97.9

97.5

T1_Mean

1570.61 (1348.53, 1892.24)

651.15 (588.75, 756.02)

0.000

     

T1_Total Energy (× 106)

3621.43 (1488.39, 7822.86)

1398.09 (1048.77, 2008.46)

0.000

     

T2 map derived model

   

0.885

0.913 (0.851, 0.975)

93.8

72.9

80.0

T2_10th percentile

72.85 (61.46, 80.28)

83.06 (75.80, 89.22)

0.000

     

T2_Energy (× 106)

12.14 (7.51, 32.71)

33.98 (18.90, 54.38)

0.000

     

T2_MAD

15.96 (11.83, 20.44)

12.79 (10.95, 14.03)

0.002

     

PD map derived model

   

0.209

0.975 (0.945, 1.000)

93.7

95.8

93.8

PD_Maximum

107.00 (105.00, 108.15)

133.5 (122.95, 140.05)

0.000

     
  1. Data was expressed as median (interquartile range)
  2. ROC, receiver operating characteristic; OC, occipital clivus; AUC, area under the curve; 95% CI, 95% confidence interval; MAD, mean absolute deviation