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dc.contributor.author
Rojas López, José Alejandro
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Venencia, Carlos Daniel
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Chesta, Miguel Angel
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Tamarit, Francisco
dc.date.available
2024-02-08T12:55:00Z
dc.date.issued
2023-06
dc.identifier.citation
Rojas López, José Alejandro; Venencia, Carlos Daniel; Chesta, Miguel Angel; Tamarit, Francisco; Assessment of PTV margin adequacy for single isocenter multiple brain metastases using genetic algorithms; IOP Publishing; Biomedical Physics & Engineering Express; 9; 4; 6-2023; 1-17
dc.identifier.issn
2057-1976
dc.identifier.uri
http://hdl.handle.net/11336/226334
dc.description.abstract
Purpose. To study the impact on dose coverage and the dose to the healthy tissue applying optimized margins in single isocenter multiple brain metastases radiosurgery (SIMM-SRS) in linac machine based on setup rotations/translations induced errors calculated by a genetic algorithm (GA). Method. The following quality indices of SIMM-SRS were analyzed for 32 plans (256 lesions): Paddick conformity index (PCI), gradient index (GI), maximum (Dmax) and mean (Dmean) doses, local and global V12 for the healthy brain. A GA based on Python packages were used to determine the maximum shift produced by induced errors of 0.2°/0.2 mm, and 0.5°/0.5 mm in 6 degrees of freedom. Results. In terms of Dmax, and Dmean, the quality of the optimized-margin plans remains unchanged (p > 0.072) concerning the original plan. However, considering the 0.5°/0.5 mm plans, PCI and GI decreased for ≥10 metastases, and local, and global V12 increased considerably in all cases. To consider 0.2°/0.2 mm plans, PCI and GI get worse but local, and global V12 improved in all cases. Conclusion. GA facilities to find the individualized margins automatically among the number of possible permutations of the setup order. The user-dependent margins are avoided. This computational approach takes into account more SRS sources of uncertainty, enabling the protection of the healthy brain by ‘smartly’ reducing the margins, and maintaining clinically acceptable target volumes’ coverage in most cases.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
IOP Publishing
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
BRAIN METASTASES
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GENETIC ALGORITHM
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PTV MARGIN
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RADIOSURGERY
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SINGLE ISOCENTER
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Otras Ciencias Físicas
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Ciencias Físicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Assessment of PTV margin adequacy for single isocenter multiple brain metastases using genetic algorithms
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-02-08T10:53:49Z
dc.journal.volume
9
dc.journal.number
4
dc.journal.pagination
1-17
dc.journal.pais
Reino Unido
dc.journal.ciudad
Londres
dc.description.fil
Fil: Rojas López, José Alejandro. Universidad Nacional de Córdoba; Argentina
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Fil: Venencia, Carlos Daniel. Instituto Privado de Radioterapia Sociedad Anonima.; Argentina
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Fil: Chesta, Miguel Angel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina
dc.description.fil
Fil: Tamarit, Francisco. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina
dc.journal.title
Biomedical Physics & Engineering Express
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://iopscience.iop.org/article/10.1088/2057-1976/acdde5
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1088/2057-1976/acdde5
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