Evidence map›Paper›PMID 36638131›Full record

ArticlePloS one2023

How much should you worry about contaminant neutrons in spatially fractionated grid radiation therapy?

Farshid Mahmoudi, Najmeh Mohammadi, Meysam Haghighi, Zahra Alirezaei, Iraj Jabbari, Nahid Chegeni, Soheil Elmtalab, Hector Rene Vega-Carrillo, Ali Kazemian, Ghazale Geraily and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

11 authors at 7 institutions in 2 countries.

Farshid MahmoudiRazi Herbal Medicines Research Center, School of Allied Medical Sciences, Lorestan University of Medical Sciences, Khorramabad, Iran.
Najmeh MohammadiDepartment of Physics, Faculty of Science, Sahand University of Technology, Tabriz, Iran.
Meysam HaghighiNeuroimaging and Analysis Group, Tehran University of Medical Sciences, Tehran, Iran.
Zahra AlirezaeiSchool of Paramedicine, Bushehr University of Medical Sciences, Bushehr, Iran.
Iraj JabbariDepartment of Nuclear Engineering, Faculty of Physics, University of Isfahan, Isfahan, Iran.
Nahid ChegeniDepartment of Medical Physics, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Soheil ElmtalabDepartment of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Hector Rene Vega-CarrilloAcademic Unit of Nuclear Studies, University Autonomous of Zacatecas, Zacatecas, Mexico.ORCID 0000-0002-7081-9084
Ali KazemianRadiation Oncology Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.
Ghazale GerailyDepartment of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-2616-5586
Amir Hossein KarimiDepartment of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-1598-8934
Tehran University of Medical Sciences · IRAhvaz Jundishapur University of Medical Sciences · IRBushehr University of Medical Sciences · IRLorestan University of Medical Sciences · IRSahand University of Technology · IRUniversidad Autónoma de Zacatecas "Francisco García Salinas" · MXUniversity of Isfahan · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neutron contamination in radiation therapy is of concern in treatment with high-energy photons (> 10 MV). With the development of new radiotherapy modalities such as spatially fractionated grid radiation therapy (SFGRT) or briefly grid radiotherapy, more studies are required to evaluate the risks associated with neutron contamination. In 15 MV SFGRT, high-Z materials such as lead and cerrobend are used as the block on the tray of linear accelerator (linac) which can probably increase the photoneutron production. On the other hand, the high-dose fractions (10-20 Gy) used in SFGRT can induce high neutron contamination. The current study was devoted to addressing these concerns via compression of neutron fluence (Φn) and ambient dose equivalent ([Formula: see text]) at the patient table and inside the maze between SFGRT and conventional fractionated radiation therapy (CFRT). The main components of the 15 MV Siemens Primus equipped with different grids and located inside a typical radiotherapy bunker were simulated by the MCNPX® Monte Carlo code. Evidence showed that the material used for grid construction does not significantly increase neutron contamination inside the maze. However, at the end of the maze, neutron contamination in SFGRT is significantly higher than in CFRT. In this regard, a delay time of 15 minutes after SFGRT is recommended for all radiotherapy staff before entering the maze. It can be also concluded that [Formula: see text] at the patient table is at least 10 times more pronounced than inside the maze. Therefore, the patient is more at risk of neutrons compared to the staff. The [Formula: see text] at the isocenter in SFGRT with grids made of lead and cerrobend was nearly equal to CFRT. Nevertheless, it was dramatically lower than in CFRT by 30% if the brass grid is used. Accordingly, SFGRT with the brass grid is recommended, from radiation protection aspects.

Indexed as

PhotonsRadiation ProtectionCopperHumansMonte Carlo MethodNeutronsParticle AcceleratorsRadiation DosageZincbrassCopperZinc

Identifiers

PMID36638131
PMCPMC9838865
OpenAlexW4315928473

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.