ESTRO 2024 - Abstract Book

S5047

Physics - Radiomics, functional and biological imaging and outcome prediction

ESTRO 2024

Figure 1. Multimodality radiomics based MLP and SVM model performance.

Conclusion:

This retrospective study highlights the potential of radiomics models utilizing MR and CT imaging features for prostate cancer risk stratification. External validation with larger datasets to further strengthen this observation is warranted in the future research.

Keywords: Prostate cancer, multimodality radiomics, MR-LINAC

1475

Poster Discussion

Predictive models of lung toxicity after thoracic re-irradiation: little evidence of lung recovery

Robert Rulach 1,2 , Stephen Harrow 3 , Anthony Chalmers 2 , John Fenwick 4

1 Oxford University Hospitals NHS Trust, Oncology, Oxford, United Kingdom. 2 University of Glasgow, Oncology, Glasgow, United Kingdom. 3 NHS Lothian, Oncology, Edinburgh, United Kingdom. 4 University College London, Oncology, London, United Kingdom