Charged particle therapy has been largely driven and influenced by nuclear physics. The
increase in energy deposition density along the ion path in the body allows reducing the …

Purpose: Thegeant4 general‐purpose Monte Carlo simulation toolkit is able to simulate
physical interaction processes of electrons, hydrogen and helium atoms with charge states …

The purpose of this study was to analyze factors affecting proton stopping-power-ratio (SPR)
estimations and range uncertainties in proton therapy planning using the standard …

Radiation research is a multidisciplinary field, and among its many branches, mathematical
and computational modelers have played a significant role in advancing boundaries of …

The aim of this work is to present an overview of the state of art of the energy loss of ions in
matter, based on the new developments in the stopping power database of the International …

Cancer treatment with energetic carbon ions has distinct advantages over proton or photon
irradiation. In this paper we present a simulation model integrated into the Geant4 Monte …

Novel imaging modalities can improve the estimation of patient elemental compositions for
particle treatment planning. The mean excitation energy (I-value) is a main contributor to the …

This comprehensive study delves into the intricate interplay between protons and organic
polymers, offering insights into proton therapy in cancer treatment. Focusing on the influence …

Proton beam therapy allows irradiating tumor volumes with reduced side effects on normal
tissues with respect to conventional x-ray radiotherapy. Biological effects such as cell killing …

Understanding the role of core-electron excitation in liquid water under proton irradiation
has become important due to the growing use of proton beams in radiation oncology. Using …