Table 1.
Demographic and clinical characteristics.
Fig 1.
Example of a rim region (green mask) used for calculating feature RA relative to the lesion segmentation (red mask).
Table 2.
Overview of image-derived features utilized.
Fig 2.
Kaplan-Meier plot of disease-free survival for patients stratified into low, intermediate, and high groups of post-treatment change in RA in image feature using tertiles.
(a) Plot for RA. (b) Plot for Max. (c) Plot for MTV. (d) Plot for TLG.
Table 3.
Univariate analysis at baseline.
Features are sorted by p-values.
Table 4.
Univariate analysis of post-treatment change in features.
Features are sorted by p-values.
Fig 3.
Summary of RA values at time points t0 (pre-treatment) and t1 (post-treatment).
(a) Boxplots. (b) False positive cases and (c) true positive cases. The dashed line indicates the average trend.