ESTRO 2022 - Abstract Book

S1378

Abstract book

ESTRO 2022

study (see Fig. 2 for definitions). T2w, ADC, and DCE-SUB sequences with delineated whole prostate were considered as part of the investigation. We extracted 1595 RFs (using Pyradiomics) from each image sequence-segmentation pair. We used a wide range of filters such as LoG, wavelet, squared, square root, logarithm, and exponential filters to see the impact of various filtering strategies on the stability of RFs. Fig. 1.b summarizes the datasets used in this study. We used the internal population to identify the stable RFs, while we used the external set to select the robust subset of RFs (by considering the overlap). We chose the intraclass correlation coefficient, ICC(1,1), to assess the stability of RFs, and we considered a feature as stable if the lower bound associated with the 95% CI of the ICC estimate had a value ≥ 0.90.

Results