Table 1 The performance of each regression model for predicting recurrence in cervical cancer treated with chemoradiotherapy (CCRT).

From: Texture Analysis as Imaging Biomarker for recurrence in advanced cervical cancer treated with CCRT

 

AUC

P

Sensitivity

Specificity

Accuracy

Timepoint 2:

     

   T2-RLN

0.739

0.026

54.55

95.65

82.35

Timepoint 3:

   T2-RLN

0.787

0.008

63.64

91.30

82.35

   ADC-energy

0.775

0.011

72.73

82.61

79.43

   T2-RLN + ADC-energy

0.885

<0.001

90.91

82.61

85.30

  1. Note: T2-RLN represents RunLengthNonuniformity (RLN) from T2WI; ADC-energy represents energy from apparent diffusion coefficient (ADC) maps Timepoint 2: two weeks after CCRT initiated; Timepoint 3: four weeks after CCRT initiated.
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