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dc.creatorJiménez Ortega, Elisa Eugeniaes
dc.creatorUreba Sánchez, Ana Maríaes
dc.creatorBaeza, José Antonioes
dc.creatorPereira Barbeiro, Ana Ritaes
dc.creatorBalcerzyk, Marcines
dc.creatorParrado-Gallego, Ángeles
dc.creatorWals-Zurita, Amadeoes
dc.creatorGarcía-Gómez, Francisco Javieres
dc.creatorLeal Plaza, Antonioes
dc.date.accessioned2019-03-04T11:56:57Z
dc.date.available2019-03-04T11:56:57Z
dc.date.issued2019-01-09
dc.identifier.citationJiménez Ortega, E.E., Ureba Sánchez, A.M., Baeza, J.A., Pereira Barbeiro, A.R., Balcerzyk, M., Parrado-Gallego, Á.,...,Leal Plaza, A. (2019). Accurate,robust and harmonized implementation of morpho-functional imaging in treatment planning for personalized radiotherapy. PLOS One, 14 (1), e0210549.
dc.identifier.issn1932-6203es
dc.identifier.urihttps://hdl.handle.net/11441/83740
dc.description.abstractIn this work we present a methodology able to use harmonized PET/CT imaging in dose painting by number (DPBN) approach by means of a robust and accurate treatment planning system. Image processing and treatment planning were performed by using a Matlab-based platform, called CARMEN, in which a full Monte Carlo simulation is included. Linear programming formulation was developed for a voxel-by-voxel robust optimization and a specific direct aperture optimization was designed for an efficient adaptive radiotherapy implementation. DPBN approach with our methodology was tested to reduce the uncertainties associated with both, the absolute value and the relative value of the information in the functional image. For the same H&N case, a single robust treatment was planned for dose prescription maps corresponding to standardized uptake value distributions from two different image reconstruction protocols: One to fulfill EARL accreditation for harmonization of [18F]FDG PET/CT image, and the other one to use the highest available spatial resolution. Also, a robust treatment was planned to fulfill dose prescription maps corresponding to both approaches, the dose painting by contour based on volumes and our voxel-by-voxel DPBN. Adaptive planning was also carried out to check the suitability of our proposal. Different plans showed robustness to cover a range of scenarios for implementation of harmonizing strategies by using the highest available resolution. Also, robustness associated to discretization level of dose prescription according to the use of contours or numbers was achieved. All plans showed excellent quality index histogram and quality factors below 2%. Efficient solution for adaptive radiotherapy based directly on changes in functional image was obtained. We proved that by using voxel-by-voxel DPBN approach it is possible to overcome typical drawbacks linked to PET/CT images, providing to the clinical specialist confidence enough for routinely implementation of functional imaging for personalized radiotherapy.es
dc.description.sponsorshipJunta de Andalucía (FISEVI, reference project CTS 2482)es
dc.description.sponsorshipEuropean Regional Development Fund (FEDER)es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherPublic Library of Sciencees
dc.relation.ispartofPLOS One, 14 (1), e0210549.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleAccurate,robust and harmonized implementation of morpho-functional imaging in treatment planning for personalized radiotherapyes
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Fisiología Médica y Biofísicaes
dc.relation.projectIDCTS 2482es
dc.relation.publisherversionhttps://doi.org/10.1371/journal.pone.0210549es
dc.identifier.doi10.1371/journal.pone.0210549es
idus.format.extent18 p.es
dc.journaltitlePLOS Onees
dc.publication.volumen14es
dc.publication.issue1es
dc.publication.initialPagee0210549es
dc.contributor.funderJunta de Andalucía
dc.contributor.funderEuropean Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER)

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