ESTRO 2025 - Abstract Book

S3854

Physics - Radiomics, functional and biological imaging and outcome prediction

ESTRO 2025

The capillary density variation (%) is described by a non-linear function of the dose and the baseline value (CD_var = a * Dose^b + c*baseline; with a = 51.99, b = -0.076, and c = -0.157). The linear mixed model revealed a significant patient effect, explaining 54% of the variance, particularly motivating an analysis at the single-patient level. We described the microvascular diameter variation with the dose, using a gamma distribution and computed the curve variation with the dose using methods similar to the capillary density case (Figure 2).

Finally, we used these data to create a patient-specific simulation of the microenvironment during radiotherapy (Figure 2). Such a computational environment represents a DT of the patient’s microvasculature, and we can use it to analyze the patient-specific microenvironment (e.g., oxygen distribution and possible presence of hypoxic-mediated radioresistance). Conclusion: We proposed a prototype for a DT of the microenvironment and microvasculature during radiotherapy, joining advanced computational modeling and data analysis from single-patient measures. References: 1. L. Possenti, A. Cicchetti, R. Rosati, D. Cerroni, M. L. Costantino, T. Rancati, and P. Zunino, Ann Biomed Eng (2021). 2. W. Tinganelli, M. Durante, R. Hirayama, M. Krämer, A. Maier, W. Kraft-Weyrather, Y. Furusawa, T. Friedrich, and E. Scifoni, Sci Rep 5 , 17016 (2015). Acknowledgments This work is supported by the AIRC Investigator Grant no. IG21479 and the HORIZON- EURATOM-2023-NRT-01 Grant Agreement number: 101166699 Keywords: Digital twin, microvasculature