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Table 4 Final output of prognostic models derived using AT, GCM3, KM2 and WT PET segmentation methods

From: Evaluation of prognostic models developed using standardised image features from different PET automated segmentation methods

  Parameter estimate p value Hazard ratio 95% CI
AT
 Age 0.020 0.001 1.020 1.008–1.033
 Treatment − 1.075 < 0.001 0.341 0.254–0.459
 Stage 0.144 < 0.001 1.155 1.072–1.245
GCM3
 Age 0.019 0.003 1.019 1.006–1.032
 Treatment − 1.024 < 0.001 0.359 0.266–0.485
 Stage 0.142 < 0.001 1.153 1.068–1.245
 Kurtosis 0.632 0.002 1.882 1.260–2.809
 Skewness − 0.789 0.044 0.454 0.211–0.980
KM2
 Age 0.020 0.001 1.020 1.008–1.033
 Treatment − 1.075 < 0.001 0.341 0.254–0.459
 Stage 0.144 < 0.001 1.155 1.072–1.245
WT
 Age 0.018 0.004 1.018 1.006–1.031
 Treatment − 1.063 < 0.001 0.345 0.257–0.464
 Stage 0.140 < 0.001 1.150 1.065–1.242
 GLNU 0.017 0.006 1.017 1.005–1.029
 Skewness 0.674 0.030 1.962 1.067–3.607