Identificador persistente para citar o vincular este elemento: https://accedacris.ulpgc.es/jspui/handle/10553/163116
Campo DC Valoridioma
dc.contributor.authorMacías Verde, David Armandoen_US
dc.contributor.authorBurgos-Burgos, Javieren_US
dc.contributor.authorLara Jiménez, Pedro Carlosen_US
dc.date.accessioned2026-04-13T18:12:12Z-
dc.date.available2026-04-13T18:12:12Z-
dc.date.issued2025en_US
dc.identifier.issn2673-592Xen_US
dc.identifier.otherScopus-
dc.identifier.urihttps://accedacris.ulpgc.es/jspui/handle/10553/163116-
dc.description.abstractIntroduction: Lattice Radiation Therapy (LRT) is an evolving spatially fractionated radiation therapy (SFRT) technique that delivers heterogeneous dose distributions to large and radioresistant tumors. The literature highlights LRT’s potential for effective tumor debulking, palliation, and immune modulation. Effective LRT planning is crucial for maximizing tumor control while minimizing toxicity to organs at risk (OARs). The process involves defining the size, spacing, and arrangement of high-dose vortexes within the GTV. Traditionally, this has been a manual and time-consuming process, prone to inter-planner variability in vortex placement. Recent research has focused on developing automated or semi-automated tools to address these challenges, enhancing planning standardization. We aimed to systematically review for the first time the available scientific evidence of automated planning tools of vortexes for Lattice Radiotherapy and to assess the efficacy of such tools for standardizing Lattice Radiotherapy delivery. Methods: A systematic review of available studies in PubMed, Web of Science, and Scopus, including the terms “Lattice radiation therapy and (automated or optimized)”. Only LRT clinical planning reports published in English and with access to the full accepted text were considered eligible. This study was conducted in accordance with the PRISMA guidelines and was registered on the PROSPERO platform (CRD420251108024). Results: A total of 82 articles were found. Twenty articles fulfilled all inclusion criteria. Automated treatment planning tools have significantly improved the efficiency, consistency, and scalability of LRT planning, addressing limitations of manual planning. In conclusion, LRT should be planned to use automated tools to improve wide clinical standardization and implementation.en_US
dc.languageengen_US
dc.relation.ispartofRadiationen_US
dc.sourceRadiation[EISSN 2673-592X],v. 6 (1), (Marzo 2026)en_US
dc.subject32 Ciencias médicasen_US
dc.subject320112 Radioterapiaen_US
dc.subject.otherAutomateden_US
dc.subject.otherDosimetryen_US
dc.subject.otherLattice Radiation Therapy (Lrt)en_US
dc.subject.otherPlanningen_US
dc.subject.otherReviewen_US
dc.titleAutomated High-Dose Sphere Placement in Photon Lattice Radiation Therapy: A Systematic Reviewen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/radiation6010010en_US
dc.identifier.scopus105034175130-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcid0000-0003-1709-6232-
dc.contributor.authorscopusid57210739641-
dc.contributor.authorscopusid57214721458-
dc.contributor.authorscopusid7004374085-
dc.identifier.eissn2673-592X-
dc.identifier.issue1-
dc.relation.volume6en_US
dc.investigacionCiencias de la Saluden_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.date.coverdateMarzo 2026en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-MEDen_US
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.fullNameMacías Verde, David Armando-
crisitem.author.fullNameLara Jiménez, Pedro Carlos-
Colección:Artículos
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