Abstract The microvasculature plays an essential role in the microenvironment, supplying nutrients, drugs and facilitating immune cell trafficking. In previous studies, microvascular health status was predictive of radiotherapy toxicities in different cohorts of patients. In this study, we present a computational workflow that generates synthetic microvascular networks leveraging data from a sublingual microscope collected in a cohort of 63 Head and Neck Cancer patients. The workflow facilitates the development of personalized computational models to analyze the role of the microvasculature in radiation toxicity. The synthetic networks replicate the microvascular density and vessel diameter of the patients, enabling mechanistic simulations of microvascular f low and drug/nutrient delivery. The results demonstrate the capability of the computational framework to generate relevant microvascular scenarios, with blood flow parameters aligning with physiological ranges. This model will serve as a valuable tool for mechanistically evaluating how the microvasculature shapes the microenvironment, contributing to current models on RT toxicity in diverse patient cohorts.
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October 3, 2023
