Jump stochastic differential equations for the characterization of the Bragg peak in proton beam radiotherapy
Alastair Crossley, Karen Habermann, Emma Horton, Jere Koskela, Andreas E. Kyprianou, Sarah Osman
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Published: Mar 1, 2025
DOI: 10.1098/rspa.2024.0687
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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 (Bortfeld 1997 Med. Phys. 24 , 2024–2033. ( doi:10.1118/1.598116 )) 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 stochastic differential equations and affords us the luxury of defining the natural analogue of the Bragg curve in two or three dimensions. This work is purely theoretical and provides a new mathematical framework which provides consistency with, at the one extreme, modelling in Geant4 and, at the other extreme, Bortfeld pencil beam calculations.
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