Cargando…

Preclinical modeling of low energy X-rays radiological burn: Dosimetry study by monte carlo simulations and EPR spectroscopy

Interventional radiology has grown considerably over the last decades and become an essential tool for treatment or diagnosis. This technique is mostly beneficial and mastered but accidental overexposure can occur and lead to the appearance of deterministic effects. The lack of knowledge about the r...

Descripción completa

Detalles Bibliográficos
Autores principales: Guillou, Manon, L’Homme, Bruno, Trompier, François, Gruel, Gaëtan, Prezado, Yolanda, Dos Santos, Morgane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772824/
https://www.ncbi.nlm.nih.gov/pubmed/36569747
http://dx.doi.org/10.3389/fphys.2022.1075665
_version_ 1784855064405344256
author Guillou, Manon
L’Homme, Bruno
Trompier, François
Gruel, Gaëtan
Prezado, Yolanda
Dos Santos, Morgane
author_facet Guillou, Manon
L’Homme, Bruno
Trompier, François
Gruel, Gaëtan
Prezado, Yolanda
Dos Santos, Morgane
author_sort Guillou, Manon
collection PubMed
description Interventional radiology has grown considerably over the last decades and become an essential tool for treatment or diagnosis. This technique is mostly beneficial and mastered but accidental overexposure can occur and lead to the appearance of deterministic effects. The lack of knowledge about the radiobiological consequences for the low-energy X-rays used for these practices makes the prognosis very uncertain for the different tissues. In order to improve the radiation protection of patients and better predict the risk of complications, we implemented a new preclinical mouse model to mimic radiological burn in interventional radiology and performed a complete characterization of the dose deposition. A new setup and collimator were designed to irradiate the hind legs of 15 mice at 30 Gy in air kerma at 80 kV. After irradiation, mice tibias were collected to evaluate bone dose by Electron Paramagnetic Resonance (EPR) spectroscopy measurements. Monte Carlo simulations with Geant4 were performed in simplified and voxelized phantoms to characterize the dose deposition in different tissues and evaluate the characteristics of secondary electrons (energy, path, momentum). 30 mice tibias were collected for EPR analysis. An average absorbed dose of 194.0 ± 27.0 Gy was measured in bone initially irradiated at 30 Gy in air kerma. A bone to air conversion factor of 6.5 ± 0.9 was determined. Inter sample and inter mice variability has been estimated to 13.9%. Monte Carlo simulations shown the heterogeneity of the dose deposition for these low X-rays energies and the dose enhancement in dense tissue. The specificities of the secondary electrons were studied and showed the influence of the tissue density on energies and paths. A good agreement between the experimental and calculated bone to air conversion factor was obtained. A new preclinical model allowing to perform radiological burn in interventional radiology-like conditions was implemented. For the development of new preclinical radiobiological model where the exact knowledge of the dose deposited in the different tissues is essential, the complementarity of Monte Carlo simulations and experimental measurements for the dosimetric characterization has proven to be a considerable asset.
format Online
Article
Text
id pubmed-9772824
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-97728242022-12-23 Preclinical modeling of low energy X-rays radiological burn: Dosimetry study by monte carlo simulations and EPR spectroscopy Guillou, Manon L’Homme, Bruno Trompier, François Gruel, Gaëtan Prezado, Yolanda Dos Santos, Morgane Front Physiol Physiology Interventional radiology has grown considerably over the last decades and become an essential tool for treatment or diagnosis. This technique is mostly beneficial and mastered but accidental overexposure can occur and lead to the appearance of deterministic effects. The lack of knowledge about the radiobiological consequences for the low-energy X-rays used for these practices makes the prognosis very uncertain for the different tissues. In order to improve the radiation protection of patients and better predict the risk of complications, we implemented a new preclinical mouse model to mimic radiological burn in interventional radiology and performed a complete characterization of the dose deposition. A new setup and collimator were designed to irradiate the hind legs of 15 mice at 30 Gy in air kerma at 80 kV. After irradiation, mice tibias were collected to evaluate bone dose by Electron Paramagnetic Resonance (EPR) spectroscopy measurements. Monte Carlo simulations with Geant4 were performed in simplified and voxelized phantoms to characterize the dose deposition in different tissues and evaluate the characteristics of secondary electrons (energy, path, momentum). 30 mice tibias were collected for EPR analysis. An average absorbed dose of 194.0 ± 27.0 Gy was measured in bone initially irradiated at 30 Gy in air kerma. A bone to air conversion factor of 6.5 ± 0.9 was determined. Inter sample and inter mice variability has been estimated to 13.9%. Monte Carlo simulations shown the heterogeneity of the dose deposition for these low X-rays energies and the dose enhancement in dense tissue. The specificities of the secondary electrons were studied and showed the influence of the tissue density on energies and paths. A good agreement between the experimental and calculated bone to air conversion factor was obtained. A new preclinical model allowing to perform radiological burn in interventional radiology-like conditions was implemented. For the development of new preclinical radiobiological model where the exact knowledge of the dose deposited in the different tissues is essential, the complementarity of Monte Carlo simulations and experimental measurements for the dosimetric characterization has proven to be a considerable asset. Frontiers Media S.A. 2022-12-08 /pmc/articles/PMC9772824/ /pubmed/36569747 http://dx.doi.org/10.3389/fphys.2022.1075665 Text en Copyright © 2022 Guillou, L’Homme, Trompier, Gruel, Prezado and Dos Santos. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Guillou, Manon
L’Homme, Bruno
Trompier, François
Gruel, Gaëtan
Prezado, Yolanda
Dos Santos, Morgane
Preclinical modeling of low energy X-rays radiological burn: Dosimetry study by monte carlo simulations and EPR spectroscopy
title Preclinical modeling of low energy X-rays radiological burn: Dosimetry study by monte carlo simulations and EPR spectroscopy
title_full Preclinical modeling of low energy X-rays radiological burn: Dosimetry study by monte carlo simulations and EPR spectroscopy
title_fullStr Preclinical modeling of low energy X-rays radiological burn: Dosimetry study by monte carlo simulations and EPR spectroscopy
title_full_unstemmed Preclinical modeling of low energy X-rays radiological burn: Dosimetry study by monte carlo simulations and EPR spectroscopy
title_short Preclinical modeling of low energy X-rays radiological burn: Dosimetry study by monte carlo simulations and EPR spectroscopy
title_sort preclinical modeling of low energy x-rays radiological burn: dosimetry study by monte carlo simulations and epr spectroscopy
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772824/
https://www.ncbi.nlm.nih.gov/pubmed/36569747
http://dx.doi.org/10.3389/fphys.2022.1075665
work_keys_str_mv AT guilloumanon preclinicalmodelingoflowenergyxraysradiologicalburndosimetrystudybymontecarlosimulationsandeprspectroscopy
AT lhommebruno preclinicalmodelingoflowenergyxraysradiologicalburndosimetrystudybymontecarlosimulationsandeprspectroscopy
AT trompierfrancois preclinicalmodelingoflowenergyxraysradiologicalburndosimetrystudybymontecarlosimulationsandeprspectroscopy
AT gruelgaetan preclinicalmodelingoflowenergyxraysradiologicalburndosimetrystudybymontecarlosimulationsandeprspectroscopy
AT prezadoyolanda preclinicalmodelingoflowenergyxraysradiologicalburndosimetrystudybymontecarlosimulationsandeprspectroscopy
AT dossantosmorgane preclinicalmodelingoflowenergyxraysradiologicalburndosimetrystudybymontecarlosimulationsandeprspectroscopy