Fig. 7
Imaging feature distribution and Kaplan–Meier survival analyses. a Boxplot of the inverse difference moment normalized (IDMN) features in precontrast images showing significantly higher values in the good survival group than in the poor-survival group (p = 6.386 × 10–7). An example of a patient aged 54.16 years showed a higher feature value (0.9657) with good survival compared with a patient aged 44.5 years with poor survival (feature value = 0.9494). b Boxplot of the flatness feature showed significantly higher values in the good-survival group than in the poor-survival group (p = 0.01). Examples of a patient aged 62.4 years showed a higher feature value of 0.3086 with good survival than a patient aged 58.89 years with a feature value of 0.2700 with poor survival. The predicted tumor-stroma heterogeneity (TSH) score using radiogenomic signatures (n = 6) separated patients into good- and poor-survival groups for c overall survival (prognostic validation 1 dataset) and d recurrence-free survival (prognostic validation 2 dataset)