Evidence map›Paper›PMID 36573258›Full record

ArticleJournal of applied clinical medical physics2023

Commissioning and performance evaluation of commercially available mobile imager for image guided total body irradiation.

Tetsu Nakaichi, Hiroyuki Okamoto, Mitsuhiro Kon, Kazuki Takaso, Ako Aikawa, Satoshi Nakamura, Kotaro Ijima, Takahito Chiba, Hiroki Nakayama, Mihiro Takemori and 6 more

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

16 authors.

Tetsu NakaichiRadiation Safety and Quality Assurance Division, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0002-6885-4892
Hiroyuki OkamotoRadiation Safety and Quality Assurance Division, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9491-787X
Mitsuhiro KonRadiation Safety and Quality Assurance Division, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.
Kazuki TakasoDepartment of Radiological Technology Radiological Oncology, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.
Ako AikawaDepartment of Radiological Technology Radiological Oncology, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.
Satoshi NakamuraRadiation Safety and Quality Assurance Division, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.
Kotaro IjimaRadiation Safety and Quality Assurance Division, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1691-0175
Takahito ChibaRadiation Safety and Quality Assurance Division, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.
Hiroki NakayamaRadiation Safety and Quality Assurance Division, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.
Mihiro TakemoriRadiation Safety and Quality Assurance Division, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.
Shohei MikasaRadiation Safety and Quality Assurance Division, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.
Kyohei FujiiDepartment of Radiation Sciences, Komazawa University, Setagaya-ku, Tokyo, Japan.
Yuka UragoRadiation Safety and Quality Assurance Division, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.
Tomonori GokaDepartment of Radiological Technology Radiological Oncology, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.
Yuri ShimizuDepartment of Radiation Oncology, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.
Hiroshi IgakiDepartment of Radiation Oncology, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.

Funding

Joint research in the National Cancer Center Hospital C2022-005Ministry of Education, Culture, Sports, Science and Technology 22K15812National Cancer Center Research and Development Fund 2022-A-18
6 · The paper itself

Abstract

backgroundThe setup of lung shield (LS) in total body irradiation (TBI) with the computed radiography (CR) system is a time-consuming task and has not been quantitatively evaluated. The TBI mobile imager (TBI-MI) can solve this problem through real-time monitoring. Therefore, this study aimed to perform commissioning and performance evaluation of TBI-MI to promote its use in clinical practice.

methodsThe source-axis distance in TBI treatment, TBI-MI (CNERGY TBI, Cablon Medical B.V.), and the LS position were set to 400, 450, and 358 cm, respectively. The evaluation items were as follows: accuracy of image scaling and measured displacement error of LS, image quality (linearity, signal-to-noise ratio, and modulation transfer function) using an EPID QC phantom, optimal thresholding to detect intra-fractional motion in the alert function, and the scatter radiation dose from TBI-MI.

resultsThe accuracy of image scaling and the difference in measured displacement of the LS was <4 mm in any displacements and directions. The image quality of TBI imager was slightly inferior to the CR image but was visually acceptable in clinical practice. The signal-to-noise ratio was improved at high dose rate. The optimal thresholding value to detect a 10-mm body displacement was determined to be approximately 5.0%. The maximum fraction of scattering radiation to irradiated dose was 1.7% at patient surface.

conclusionMI-TBI can quantitatively evaluate LS displacement with acceptable image quality. Furthermore, real-time monitoring with alert function to detect intrafraction patient displacement can contribute to safe TBI treatment.

Indexed as

Radiotherapy Planning, Computer-AssistedWhole-Body IrradiationHumansPhantoms, ImagingRadiotherapy DosageEPIDin vivo dosimetrylung shieldmobile imagerreal-time monitoringTBI

Identifiers

PMID36573258
PMCPMC10113699

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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.