Simulation Tools for Multiscale Modeling for Radiopharmaceutical Applications
Description
At the subcellular scale, Monte Carlo track-structure (MCTS) has demonstrated good accuracy for modeling the initial radiation-induced biological damage by providing a detailed characterization of the spatiotemporal complex structure of ionizing radiation. At a much larger scale, Condensed-History MC (CHMC) has been instrumental in the technological advancement of radiotherapeutic devices, patient dosimetry, and reference dosimetry in radiotherapy. While there exist differences in space and time characterization between MCTS and CHMC, tools using those methods have evolved significantly, enabling detailed modeling of biological damage by simulating the physics process of energy deposition and subsequent chemical stages of water radiolysis. However, there exist limitations in terms of scalability and accountability of biological cell behavior. Agent-based software allows scalability and accounts for cell behavior, but lacks sufficient resolution to determine radiation-induced damage from first principles. This session aims to revisit the current tools used for radiopharmaceutical therapy (RPT) modeling, existing capabilities and limitations of MCTS, CHMC, and Agent-based algorithms, the potential impact of RTP from coupling both algorithms, the requirements to accomplish coupling, and methods for improving computational speed.