Jump stochastic differential equations for the characterisation of the Bragg peak in proton beam radiotherapy
Alastair Crossley, Karen Habermann, Emma Horton, Jere Koskela, Andreas, E. Kyprianou, Sarah Osman

TL;DR
This paper introduces a novel stochastic differential equation model to mathematically characterize the Bragg peak in proton beam radiotherapy, enabling analysis in multiple dimensions and unifying various existing modeling approaches.
Contribution
It presents the first mathematical framework based on stochastic differential equations for energy deposition in proton therapy, extending the Bragg peak concept to higher dimensions.
Findings
Developed a first-principles stochastic model for proton energy deposition.
Unified existing models like Geant4 Monte Carlo and Bortfeld curves within a new framework.
The model allows analysis of the Bragg peak in two and three dimensions.
Abstract
Proton beam radiotherapy stands at the forefront of precision cancer treatment, leveraging the unique physical interactions of proton beams with human tissue to deliver minimal dose upon entry and deposit the therapeutic dose precisely at the so-called Bragg peak, with no residual dose beyond this point. The Bragg peak is the characteristic maximum that occurs when plotting the curve describing the rate of energy deposition along the length of the proton beam. Moreover, as a natural phenomenon, it is caused by an increase in the rate of nuclear interactions of protons as their energy decreases. From an analytical perspective, Bortfeld proposed a parametric family of curves that can be accurately calibrated to data replicating the Bragg peak in one dimension. We build, from first principles, the very first mathematical model describing the energy deposition of protons. Our approach uses…
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Taxonomy
TopicsAdvanced Radiotherapy Techniques · Radiation Therapy and Dosimetry · Nuclear reactor physics and engineering
