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dc.contributor.author
Dattoli Viegas, Ana Mailen
dc.contributor.author
Carando, Daniel Germán
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Koivunoro, Hanna
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Joensuu, Heikki
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González, Sara Josefina
dc.date.available
2025-02-25T12:27:34Z
dc.date.issued
2024-12
dc.identifier.citation
Dattoli Viegas, Ana Mailen; Carando, Daniel Germán; Koivunoro, Hanna; Joensuu, Heikki; González, Sara Josefina; Predicting radiotoxic effects after BNCT for brain cancer using a novel dose calculation model; Elsevier; Physica Medica; 128; 12-2024; 1-22
dc.identifier.issn
1120-1797
dc.identifier.uri
http://hdl.handle.net/11336/255130
dc.description.abstract
Purpose: The normal brain is an important dose-limiting organ for brain cancer patients undergoing radiotherapy. This study aims to develop a model to calculate photon isoeffective doses ( ) to normal brain that can explain the incidence of grade 2 or higher somnolence syndrome (SS⩾2) after Boron Neutron Capture Therapy (BNCT). Methods: A model was constructed to find the reference photon dose that equals the Normal Tissue Complication Probability (NTCP) of the absorbed dose from BNCT. Limb paralysis rates from the rat spinal cord model exposed to conventional or BNCT irradiation were used to determine model parameters. NTCP expressions for both irradiations were constructed based on Lyman’s model accordingly. values were calculated for BNCT treatments performed in Finland and USA. An equivalent uniform dose (EUD) based on peak and average whole-brain doses and treatment fields was also introduced. Combining and EUD models, a dose–response curve for SS⩾2 in BNCT patients was constructed and compared to conventional radiotherapy outcomes. Results: The model reveals higher than expected photon-equivalent doses in the brain, indicating the need to modify standard dose calculation methods. Neither peak dose nor average whole-brain dose alone predicts SS⩾2 development. However, the dose–response curve derived from combining and EUD models effectively explains the incidence of SS⩾2 after BNCT. Conclusions: The introduced and EUD models predict the incidence of somnolence syndrome after BNCT. The first dose–response relationship for SS⩾2 derived entirely from brain tumour patients treated with BNCT, consistent with photon radiotherapy responses, is presented.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
BNCT
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PHOTON ISOEFFECTIVE DOSE
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NORMAL TISSUE COMPLICATION PROBABILITY
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SOMNOLENCE SYNDROME
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EQUIVALENT UNIFORM DOSE
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RADIOTOXIC EFFECTS
dc.subject.classification
Física Nuclear
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Ciencias Físicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Predicting radiotoxic effects after BNCT for brain cancer using a novel dose calculation model
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2025-02-17T13:27:19Z
dc.journal.volume
128
dc.journal.pagination
1-22
dc.journal.pais
Italia
dc.description.fil
Fil: Dattoli Viegas, Ana Mailen. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica; Argentina
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Fil: Carando, Daniel Germán. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santaló". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santaló"; Argentina
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Fil: Koivunoro, Hanna. Helsinki University Hospital; Finlandia
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Fil: Joensuu, Heikki. Helsinki University Hospital; Finlandia
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Fil: González, Sara Josefina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica; Argentina
dc.journal.title
Physica Medica
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.ejmp.2024.104840
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1120179724010974
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