Evidence map›Paper›PMID 36715177›Full record

ArticleJournal of radiation research2023

Pilot study of aerosols visualized and evaluated in a radiotherapy room.

Atsushi Musha, Nobuteru Kubo, Hidemasa Kawamura, Naoko Okano, Kunio Yanagisawa, Kazuaki Sugawara, Ryuta Okamoto, Kozo Takahashi, Hideki Kawabata, Tatsuya Ohno

Abstract read
In one paragraph

Article in Journal of radiation research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Atsushi MushaGunma University Heavy Ion Medical Center, Maebashi, Gunma, 371-8511, Japan.
Nobuteru KuboGunma University Heavy Ion Medical Center, Maebashi, Gunma, 371-8511, Japan.
Hidemasa KawamuraGunma University Heavy Ion Medical Center, Maebashi, Gunma, 371-8511, Japan.
Naoko OkanoGunma University Heavy Ion Medical Center, Maebashi, Gunma, 371-8511, Japan.
Kunio YanagisawaInfection Control and Prevention Center, Gunma University Hospital, Maebashi, Gunma, 371-8511, Japan.
Kazuaki SugawaraSolution Division, Shin Nippon Air Technologies Co., Ltd., Chuo-ku, Tokyo, 103-0007, Japan.
Ryuta OkamotoSolution Division, Shin Nippon Air Technologies Co., Ltd., Chuo-ku, Tokyo, 103-0007, Japan.
Kozo TakahashiSolution Division, Shin Nippon Air Technologies Co., Ltd., Chuo-ku, Tokyo, 103-0007, Japan.
Hideki KawabataSolution Division, Shin Nippon Air Technologies Co., Ltd., Chuo-ku, Tokyo, 103-0007, Japan.
Tatsuya OhnoGunma University Heavy Ion Medical Center, Maebashi, Gunma, 371-8511, Japan.

Funding

JASTRO 2021-2022
6 · The paper itself

Abstract

Health care institutions provide prevention strategies for coronavirus disease 2019 and non-infectious disease care. We investigated the characteristics of patient contamination in a radiotherapy room by examining the trajectory and number of airborne particles in the air when talking and coughing occurred and clarified the actual state of contamination in this closed space. Aerosols were visualized and evaluated in the vertical height and head-to-tail width directions when the participant was lying on the radiotherapy tabletop. Aerosol reach was significantly greater for loud voice and coughing both at vertical height and the head-to-tail width direction. The size and number of particles around the radiotherapy tabletop were also visualized and evaluated in the radiotherapy room. The radiotherapy staff who were in the presence of the participant sometimes had many particles adhering to their facial area; particle adhesion to the staff was dominated by small size particles. Particle adherence to the irradiation device surface near the ceiling had particles larger than 1 mm. Tabletop particles tended to have a wider size range, including bigger sizes and a larger count compared to the surrounding floor. The 0.7-m radius distance from the participant's mouth tended to be highly contaminated, and the smaller the particle size, the farther it reached. The capacity to estimate areas prone to contamination can be used to predict infection of other patients and medical staff in a radiotherapy room.

Indexed as

COVID-19HumansParticle SizePilot ProjectsRespiratory Aerosols and Dropletsaerosolcoronavirus disease 2019 (COVID-19)head and neck cancerradiotherapy

Identifiers

PMID36715177
PMCPMC10036095

What OpenQuestion holds

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LicenceCC BY-NC
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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.