A simple analytical model for a fast 3D assessment of peripheral photon dose during coplanar isocentric photon radiotherapy.

Abstract

Considering that cancer survival rates have been growing and that nearly two-thirds of those survivors were exposed to clinical radiation during its treatment, the study of long-term radiation effects, especially secondary cancer induction, has become increasingly important. To correctly assess this risk, knowing the dose to out-of-field organs is essential. As it has been reported, commercial treatment planning systems do not accurately calculate the dose far away from the border of the field; analytical dose estimation models may help this purpose. In this work, the development and validation of a new three-dimensional (3D) analytical model to assess the photon peripheral dose during radiotherapy is presented. It needs only two treatment-specific input parameter values, plus information about the linac-specific leakage, when available. It is easy to use and generates 3D whole-body dose distributions and, particularly, the dose to out-of-field organs (as dose-volume histograms) outside the 5% isodose for any isocentric treatment using coplanar beams [including intensity modulated radiotherapy and volumetric modulated arc therapy (VMAT)]. The model was configured with the corresponding Monte Carlo simulation of the peripheral absorbed dose for a 6 MV abdomen treatment on the International Comission on Radiological Protection (ICRP) 110 computational phantom. It was then validated with experimental measurements using thermoluminescent dosimeters in the male ATOM anthropomorphic phantom irradiated with a VMAT treatment for prostate cancer. Additionally, its performance was challenged by applying it to a lung radiotherapy treatment very different from the one used for training. The model agreed well with measurements and simulated dose values. A graphical user interface was developed as a first step to making this work more approachable to a daily clinical application.

• Authors: Beatriz Sánchez-Nieto, Ignacio N López-Martínez, José Luis Rodríguez-Mongua, Ignacio Espinoza
• Journal: Frontiers in oncology (Front Oncol) Vol. 12 Pg. 872752 ( 2022) ISSN: 2234-943X [Print] Switzerland
• PMID: 36276161 (Publication Type: Journal Article)
• Copyright: Copyright © 2022 Sánchez-Nieto, López-Martínez, Rodríguez-Mongua and Espinoza.