ESTRO 2024 - Abstract Book

S5147

Physics - Radiomics, functional and biological imaging and outcome prediction

ESTRO 2024

Conclusion:

This study demonstrated that the risk model, using limited clinical labels, delivers satisfactory performance within such clinical challenges. Additionally, only three features were enough to perform a risk stratification analysis. This is important for the application and use of RRS models in clinical practice.

Keywords: Radiomics, Survival Analysis, GBM

References:

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[2] P. Whybra et al., Assessing radiomic feature robustness to interpolation in 18F-FDG PET imaging, Sci Rep. 9 (2019) 9649. https://doi.org/10.1038/s41598-019-46030-0.

[3] C. Piazzese et al., Discovery of stable and prognostic CT-based radiomic features independent of contrast administration and dimensionality in oesophageal cancer, PLoS One. 14 (2019) e0225550. https://doi.org/10.1371/journal.pone.0225550.