Evidence map›Paper›PMID 41944461›Full record

ArticleMedical physics2026

Evaluation of extrapolation chamber response for surface and buildup dose assessment in radiotherapy photon beams using Monte Carlo simulations.

Cristiano Q M Reis, Bryan R Muir, Patricia Nicolucci, D W O Rogers

Abstract readEvaluation Study
In one paragraph

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

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Cristiano Q M ReisDepartments of Radiation Oncology and Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0002-4793-3778
Bryan R MuirMetrology Research Centre, National Research Council of Canada, Ottawa, Ontario, Canada.
Patricia NicolucciDepartamento de Física, Faculdade de Filosofia Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, São Paulo, Brasil.
D W O RogersCarleton Laboratory for Radiotherapy Physics, Physics Department, Carleton University, Ottawa, Ontario, Canada.

Funding

Brazilian Federal Agency for Support and Evaluation of Graduate Education 14850/12-1Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) BEX 14850/12-1Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) 2018/05982-0São Paulo Research Foundation 2018/05982-0
6 · The paper itself

Abstract

backgroundSurface dose assessment is essential in radiotherapy, but accurately measuring doses in the buildup region of megavoltage beams presents significant challenges. Extrapolation chambers are frequently regarded as the most suitable detectors for this purpose. PURPOSE: To establish under what conditions extrapolation chambers can be used to measure surface doses and to use Monte Carlo calculations to prove that measured surface-to-maximum ionization ratios correspond to absorbed-dose ratios. A secondary purpose is to understand why surface measurements with a Markus fixed parallel-plate chamber are inaccurate.

methodsEGSnrc applications were used for calculating the dose to the air cavity of two extrapolation chambers in a polystyrene phantom as a function of the electrode separation (also called gap),

resultsCalculated %dose to the air in the chamber's cavity (%

conclusionsSurface dose assessment using extrapolation chambers can achieve accuracy within 1% when small electrode separations are used and depth is appropriately defined. The results confirm that the measured % ionization ratios for gaps

Indexed as

Monte Carlo MethodPhotonsRadiation DosageRadiometryPhantoms, ImagingRadiotherapy Dosagebuildup regionextrapolation chambersMonte Carlo simulationradiotherapysurface dose

Identifiers

PMID41944461
PMCPMC13055151

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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.