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Table 3 Imaging parameters as predictors of PFS

From: CT texture analysis: a potential tool for prediction of survival in patients with metastatic clear cell carcinoma treated with sunitinib

Variable

P-value

Hazard ratio

95% CI

Mean positive pixel intensity prior to treatment

0.61

1.01

0.98 – 1.04

Mean positive pixel intensity following treatment

0.72

1.00

0.99 – 1.02

SD prior to treatment

0.71

0.99

0.97 – 1.02

SD following treatment

0.33

0.99

0.97 – 1.01

Entropy prior to treatment

0.25

1.84

0.64 – 5.32

Entropy following treatment

0.08

2.23

0.91 – 5.49

nSD prior to treatment

0.01

0.01

0.000 – 0.31

nSD following treatment

0.003

0.01

0.001 – 0.22

Kurtosis prior to treatment

0.21

1.28

0.87 – 1.87

Kurtosis following treatment

0.34

1.12

0.89 – 1.41

Skewness prior to treatment

0.32

1.66

0.62 – 4.41

Skewness following treatment

0.65

1.20

0.55 – 2.61

Percent change in size

0.14

0.98

0.96 – 1.01

Mean pixel intensity change

0.36

0.99

0.98 – 1.01

SD change

0.51

0.70

0.25 – 2.02

Entropy change

0.21

15.12

0.21 – 1096.9

nSD change

0.06

0.02

0.00 – 1.21

Kurtosis change

0.92

1.06

0.37 – 3.04

Skewness change

0.81

0.94

0.56 – 1.58

  1. Entries in bold were significant
  2. Abbreviations: SD standard deviation, nSD size normalized standard deviation, PFS progression free survival