Table 1.
Summary of patient characteristics.
Table 2.
Summary of the patients’ demographics for the training and validation cohorts.
Fig 1.
Overall survival (OS) and local control (LC) curves stratified according to the best threshold for the clinical and radiomic features found to be significant at univariate analysis.
Data are shown for the training dataset. In the figures the blue lines correspond to the stratum above the threshold.
Table 3.
List of the clinical and radiomics features found to be significant at univariate analysis.
Fig 2.
a) and b): Overall survival (OS) and Local Control (LC) curves for the training (solid red line) and validation (blue dashed line) cohorts of patients without any stratification; c) and d): Overall survival (OS) curves for the multivariate models A and B respectively. The sub-panels represent the ROC curves built out of the models. e) and f): Local Control (LC) curves as for the above. In the survival curves, solid lines correspond to the low risk group of patients; blue lines to the validation (red for the training) set. In the ROC curves, solid line is for the training, dashed for the validation.
Table 4.
Median and 95% confidence interval for the overall survival time and for the local control time.
Fig 3.
Calibration plots at 6,12 and 18 months for the Cox models B for overall survival and local control.