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In Vivo Validation of the BIANCA Biophysical Model: Benchmarking against Rat Spinal Cord RBE Data
(1) Background: Cancer ion therapy is constantly growing thanks to its increased precision and, for heavy ions, its increased biological effectiveness (RBE) with respect to conventional photon therapy. The complex dependence of RBE on many factors demands biophysical modeling. Up to now, only the Lo...
Autores principales: | , , , , , , , |
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Lenguaje: | eng |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.3390/ijms21113973 http://cds.cern.ch/record/2801421 |
_version_ | 1780972694370516992 |
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author | Carante, Mario P Aricò, Giulia Ferrari, Alfredo Karger, Christian P Kozlowska, Wioletta Mairani, Andrea Sala, Paola Ballarini, Francesca |
author_facet | Carante, Mario P Aricò, Giulia Ferrari, Alfredo Karger, Christian P Kozlowska, Wioletta Mairani, Andrea Sala, Paola Ballarini, Francesca |
author_sort | Carante, Mario P |
collection | CERN |
description | (1) Background: Cancer ion therapy is constantly growing thanks to its increased precision
and, for heavy ions, its increased biological effectiveness (RBE) with respect to conventional photon
therapy. The complex dependence of RBE on many factors demands biophysical modeling. Up to now,
only the Local Effect Model (LEM), the Microdosimetric Kinetic Model (MKM), and the “mixed-beam”
model are used in clinics. (2) Methods: In this work, the BIANCA biophysical model, after extensive
benchmarking in vitro, was applied to develop a database predicting cell survival for different ions,
energies, and doses. Following interface with the FLUKA Monte Carlo transport code, for the first
time, BIANCA was benchmarked against in vivo data obtained by C-ion or proton irradiation of the
rat spinal cord. The latter is a well-established model for CNS (central nervous system) late effects,
which, in turn, are the main dose-limiting factors for head-and-neck tumors. Furthermore, these data
have been considered to validate the LEM version applied in clinics. (3) Results: Although further
benchmarking is desirable, the agreement between simulations and data suggests that BIANCA can
predict RBE for C-ion or proton treatment of head-and-neck tumors. In particular, the agreement
with proton data may be relevant if the current assumption of a constant proton RBE of 1.1 is revised.
(4) Conclusions: This work provides the basis for future benchmarking against patient data, as well
as the development of other databases for specific tumor types and/or normal tissues. |
id | cern-2801421 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2020 |
record_format | invenio |
spelling | cern-28014212022-10-31T15:43:36Zdoi:10.3390/ijms21113973http://cds.cern.ch/record/2801421engCarante, Mario PAricò, GiuliaFerrari, AlfredoKarger, Christian PKozlowska, WiolettaMairani, AndreaSala, PaolaBallarini, FrancescaIn Vivo Validation of the BIANCA Biophysical Model: Benchmarking against Rat Spinal Cord RBE DataHealth Physics and Radiation Effects(1) Background: Cancer ion therapy is constantly growing thanks to its increased precision and, for heavy ions, its increased biological effectiveness (RBE) with respect to conventional photon therapy. The complex dependence of RBE on many factors demands biophysical modeling. Up to now, only the Local Effect Model (LEM), the Microdosimetric Kinetic Model (MKM), and the “mixed-beam” model are used in clinics. (2) Methods: In this work, the BIANCA biophysical model, after extensive benchmarking in vitro, was applied to develop a database predicting cell survival for different ions, energies, and doses. Following interface with the FLUKA Monte Carlo transport code, for the first time, BIANCA was benchmarked against in vivo data obtained by C-ion or proton irradiation of the rat spinal cord. The latter is a well-established model for CNS (central nervous system) late effects, which, in turn, are the main dose-limiting factors for head-and-neck tumors. Furthermore, these data have been considered to validate the LEM version applied in clinics. (3) Results: Although further benchmarking is desirable, the agreement between simulations and data suggests that BIANCA can predict RBE for C-ion or proton treatment of head-and-neck tumors. In particular, the agreement with proton data may be relevant if the current assumption of a constant proton RBE of 1.1 is revised. (4) Conclusions: This work provides the basis for future benchmarking against patient data, as well as the development of other databases for specific tumor types and/or normal tissues.oai:cds.cern.ch:28014212020 |
spellingShingle | Health Physics and Radiation Effects Carante, Mario P Aricò, Giulia Ferrari, Alfredo Karger, Christian P Kozlowska, Wioletta Mairani, Andrea Sala, Paola Ballarini, Francesca In Vivo Validation of the BIANCA Biophysical Model: Benchmarking against Rat Spinal Cord RBE Data |
title | In Vivo Validation of the BIANCA Biophysical Model: Benchmarking against Rat Spinal Cord RBE Data |
title_full | In Vivo Validation of the BIANCA Biophysical Model: Benchmarking against Rat Spinal Cord RBE Data |
title_fullStr | In Vivo Validation of the BIANCA Biophysical Model: Benchmarking against Rat Spinal Cord RBE Data |
title_full_unstemmed | In Vivo Validation of the BIANCA Biophysical Model: Benchmarking against Rat Spinal Cord RBE Data |
title_short | In Vivo Validation of the BIANCA Biophysical Model: Benchmarking against Rat Spinal Cord RBE Data |
title_sort | in vivo validation of the bianca biophysical model: benchmarking against rat spinal cord rbe data |
topic | Health Physics and Radiation Effects |
url | https://dx.doi.org/10.3390/ijms21113973 http://cds.cern.ch/record/2801421 |
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