ESTRO 2023 - Abstract Book


Saturday 13 May

ESTRO 2023

Fig.1 The workflow of EPFs extraction. (A) Four visual characteristics of S, L, N and G as well as auxiliary masks of tissue and epithelium were generated by deep learning classifiers as heatmaps. (B) The masked heatmaps were then grided into different sub-region scales (spatial pyramid pooling levels) and different statistic values were adopted as EPFs. Results Four EPFs of G4_min, S4_median, L6_min and N4_min were selected. The Spearman test showed no correlationship between each 2 selected EPFs. The Harrell concordance index of the Cox model were 0.61 and 0.65 in discovery dataset, where the model was developed, and external validation dataset, respectively. All selected EPFs performed as risk factors in Cox model. The forest plot of the Cox model and projected EPFs can be found in Fig.2, where these EPFs can be easily recognized visually.

Fig.2 (A) The forest plot of the Cox model on selected EPFs. (B) The projection of G4_min, L6_min, N4_min and S4_median EPFs back to the original WSI. For G4_min, the color in the heatmap was closer to red referred to lower gland formation. For the other 3 EPFs, the color was closer to red referred to higher probability of related visual characteristics. Conclusion Our approach not only built a robust model to predict survival outcomes but also help to reveal valuable clues of pathology through EPFs’ interpretability. For example, the G4_min indicated that the sub-region with highest tumor gland formation, which can be considered as the shortest stave of Liebig’s barrel, decided the risk of the WSI. MO-0058 PTEN loss/Fibroblast infiltration subtype and its association with CT-radiomics in prostate cancer R. Murphy 1 , L. Huang 1 , S. Winter 1 , N. Payan 1 , C. McGarry 1,2 , S. Jain 1,3 , S. McDade 1 , M. LaBonte Wilson 1 , E. Allott 1 1 Queen's University Belfast, Patrick G. Johnston Centre for Cancer Research, Belfast, United Kingdom; 2 Belfast Health and Social Care Trust, Department of Radiotherapy Physics, Belfast, United Kingdom; 3 Belfast Health and Social Care Trust, Department of Clinical Oncology, Belfast, United Kingdom Purpose or Objective Radiogenomics is a field of research that relates genomics with medical imagining radiomics features. PTEN loss is associated with playing a role in affecting the immune response of the tumour microenvironment in prostate cancer.

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