Evidence map›Paper›PMID 42446808›Full record

ArticleRadiological physics and technology2026

Assessment of out-of-field doses in pediatric radiotherapy.

Silvana Oliveira Pinheiro, Isabel Faria, Fernando Costa, Armanda Monteiro, Rita Figueira, Gabriel Farinha, Lígia Osório, Guilherme Campos, Pedro Fonseca, Ana Cravo Sá

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Article in Radiological physics and technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Silvana Oliveira PinheiroBiostatistics and Bioinformatics applied to Health, School of Health, Polytechnic of Porto, Porto, Portugal. silvanaop04@hotmail.com.ORCID http://orcid.org/0009-0005-3492-6420
Isabel FariaSchool of Health, Technical-Scientific Area of Radiotherapy, Polytechnic of Porto, Porto, Portugal.
Fernando CostaSchool of Health, Technical-Scientific Area of Radiotherapy, Polytechnic of Porto, Porto, Portugal.
Armanda MonteiroSchool of Health, Technical-Scientific Area of Radiotherapy, Polytechnic of Porto, Porto, Portugal.
Rita FigueiraRadiotherapy Service, São João Local Health Unit, Porto, Portugal.
Gabriel FarinhaRadiotherapy Service, São João Local Health Unit, Porto, Portugal.
Lígia OsórioRadiotherapy Service, São João Local Health Unit, Porto, Portugal.
Guilherme CamposRadiotherapy Service, CUF Institute - Júlio Teixeira, S.A, Porto, Portugal.
Pedro FonsecaBiostatistics and Bioinformatics applied to Health, School of Health, Polytechnic of Porto, Porto, Portugal.
Ana Cravo SáSchool of Health, Technical-Scientific Area of Radiotherapy, Polytechnic of Porto, Porto, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accurate estimation of absorbed doses outside the treatment field is relevant in pediatric radiotherapy due to radiosensitivity and long-life expectancy. This study aims to evaluate out-of-field doses in pediatric brain radiotherapy by comparing dose calculations from a commercial treatment planning system (TPS) with Monte Carlo (MC) simulations. A pediatric computational phantom representing a 10-year-old child treated for a brain tumor using Volumetric-Modulated Arc Therapy (VMAT) was used. Dose calculations were performed in the Eclipse TPS and compared with MC simulations carried out using PRIMO software. The MC source configuration, dose-normalization procedure, VMAT control-point reproduction and uncertainty assessment were described to improve reproducibility. Agreement between measurements and MC simulations was observed for reference PDDs, whereas discrepancies were obtained for small-field lateral profiles, mainly due to dose gradients and detector volume-averaging effects. Outside the treatment field, the TPS showed dose discrepancies when compared with MC simulations, particularly in organs located far from the target volume. In several OARs, the TPS underestimated the mean absorbed dose, while in some structures closer to the field, dose overestimation was observed. These out-of-field values were interpreted with caution because organ-specific experimental validation in the pediatric phantom was not available. Within the limitations of a single phantom and plan, MC simulations provide a complementary assessment of out-of-field doses and anatomical volumes when compared with TPS calculations. Their combined use can improve dosimetric characterization and support future pediatric radiotherapy studies, although experimental validation in anthropomorphic phantoms remains necessary before claiming patient-specific accuracy.

Indexed as

Radiation DosageRadiotherapy, Intensity-ModulatedBrain NeoplasmsChildHumansMonte Carlo MethodPhantoms, ImagingRadiotherapy DosageRadiotherapy Planning, Computer-AssistedComputational phantomMonte Carlo simulationsOut-of-field dosesPediatric tumorsRadiotherapy

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.