Evidence map›Paper›PMID 42064199›Full record

ArticleRadiation physics and chemistry (Oxford, England : 1993)2025

MONTE CARLO STUDY OF NEUTRON SPECTRA UNFOLDING FOR A PROTON BEAM USING MLEM.

A Díaz-Comeche, S Oliver, B Juste, R Miró, S Morató, G Verdú

Abstract read
In one paragraph

Article in Radiation physics and chemistry (Oxford, England : 1993), 2025. 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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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

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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

6 authors.

A Díaz-ComecheInstituto de Seguridad Industrial, Radiofísica y Medioambiental (ISIRYM). Universitat Politècnica de València. Camí de Vera s/n. 46022. València, Spain.
S OliverInstituto de Seguridad Industrial, Radiofísica y Medioambiental (ISIRYM). Universitat Politècnica de València. Camí de Vera s/n. 46022. València, Spain.
B JusteInstituto de Seguridad Industrial, Radiofísica y Medioambiental (ISIRYM). Universitat Politècnica de València. Camí de Vera s/n. 46022. València, Spain.
R MiróInstituto de Seguridad Industrial, Radiofísica y Medioambiental (ISIRYM). Universitat Politècnica de València. Camí de Vera s/n. 46022. València, Spain.
S MoratóDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, USA.
G VerdúInstituto de Seguridad Industrial, Radiofísica y Medioambiental (ISIRYM). Universitat Politècnica de València. Camí de Vera s/n. 46022. València, Spain.

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

Secondary neutrons are generated during proton therapy treatments, being a source of stray dose to the patient and personnel. Since the dose deposited by neutrons is directly related to their energy, determining their energy spectrum is crucial for the correct assessment of neutron doses. The aim of this work is to use Monte Carlo (MC) simulations to reproduce the generation of secondary stray neutrons in a proton therapy accelerator head and deconvolute their fluence energy spectrum using a Maximum Likelihood Expectation Maximization (MLEM) algorithm. This unfolding code utilizes a detector response to deconvolute spectra. Therefore, the response of a newly designed Extended Bonner Sphere Spectrometer (EBSS) mesh model, capable of detecting high-energy neutrons, has been evaluated by means of MC simulations. To deconvolute the neutron fluence energy spectrum with MLEM, the EBSS has been placed at 30 and 115 cm distance from the accelerator head in the direction of the proton beamline, and the secondary neutron fluence has been calculated in the volume of the detector. These measures served to unfold the MC simulated neutron fluence spectrum with absence of treatment room elements, by using the self-developed MLEM algorithm. The results indicate that a MLEM algorithm and MC simulations can be used as tools to assess neutron spectra in radiation therapies using protons.

Indexed as

MCNP6Monte Carlo MethodsNeutron Spectrum unfoldingProton therapySecondary Neutrons

Identifiers

PMID42064199
PMCPMC13127993

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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.