002801421 001__ 2801421
002801421 003__ SzGeCERN
002801421 005__ 20221031164335.0
002801421 0247_ $$2DOI$$a10.3390/ijms21113973
002801421 0248_ $$aoai:cds.cern.ch:2801421$$pcerncds:FULLTEXT$$pcerncds:CERN:FULLTEXT$$pcerncds:CERN
002801421 035__ $$9https://inspirehep.net/api/oai2d$$aoai:inspirehep.net:2021253$$d2022-02-11T17:49:09Z$$h2022-02-12T05:00:02Z$$mmarcxml
002801421 035__ $$9Inspire$$a2021253
002801421 041__ $$aeng
002801421 100__ $$aCarante, Mario P$$uINFN, Pavia
002801421 245__ $$9submitter$$aIn Vivo Validation of the BIANCA Biophysical Model: Benchmarking against Rat Spinal Cord RBE Data
002801421 260__ $$c2020
002801421 300__ $$a11 p
002801421 520__ $$9submitter$$a(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.
002801421 540__ $$3publication$$aCC-BY-4.0$$uhttp://creativecommons.org/licenses/by/4.0/
002801421 542__ $$3publication$$dthe authors$$g2020
002801421 6531_ $$ahead-and-neck tumors
002801421 6531_ $$aion beam radiotherapy
002801421 6531_ $$arelative biological effectiveness (RBE)
002801421 6531_ $$aRBE models
002801421 6531_ $$acarbon ions
002801421 6531_ $$aprotons
002801421 6531_ $$aMonte Carlo simulations
002801421 65017 $$2INSPIRE$$aHealth Physics and Radiation Effects
002801421 690C_ $$aARTICLE
002801421 690C_ $$aCERN
002801421 700__ $$aAricò, Giulia$$uCERN
002801421 700__ $$aFerrari, Alfredo$$uCERN
002801421 700__ $$aKarger, Christian P$$uHeidelberg, Inst. Radiology
002801421 700__ $$aKozlowska, Wioletta$$uCERN$$uMed. U. of Vienna, Spitalgasse
002801421 700__ $$aMairani, Andrea$$uHITS, Heidelberg
002801421 700__ $$aSala, Paola$$uINFN, Milan
002801421 700__ $$aBallarini, Francesca$$uINFN, Pavia$$uPavia U.
002801421 773__ $$c3973$$n11$$pInternational Journal of Molecular Sciences$$v21$$y2020
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002801421 960__ $$a13
002801421 980__ $$aARTICLE