Evidence map›Paper›PMID 37576099›Full record

ArticleJournal of medical physics

Evaluation of In-room Volumetric Imaging Doses for Image-guided Radiotherapy: A Multi-institutional Study.

Yusuke Sakai, Hajime Monzen, Yoshiki Takei, Hiroyuki Kosaka, Kenji Nakamura, Yuya Yanagi, Kazuki Wakabayashi, Makoto Hosono, Yasumasa Nishimura

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical physics. 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. 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

9 authors.

Yusuke SakaiDepartment of Medical Physics, Graduate School of Medical Sciences, Kindai University, Hyogo, Japan.
Hajime MonzenDepartment of Medical Physics, Graduate School of Medical Sciences, Kindai University, Hyogo, Japan.
Yoshiki TakeiDepartment of Radiology, Kindai University Nara Hospital, Ikoma, Nara, Japan.
Hiroyuki KosakaDepartment of Medical Physics, Graduate School of Medical Sciences, Kindai University, Hyogo, Japan.
Kenji NakamuraDepartment of Medical Physics, Graduate School of Medical Sciences, Kindai University, Hyogo, Japan.
Yuya YanagiDepartment of Medical Physics, Graduate School of Medical Sciences, Kindai University, Hyogo, Japan.
Kazuki WakabayashiDepartment of Medical Physics, Graduate School of Medical Sciences, Kindai University, Hyogo, Japan.
Makoto HosonoDepartment of Radiation Oncology, Faculty of Medicine, Kindai University, Osakasayama, Osaka, Japan.
Yasumasa NishimuraDepartment of Radiation Oncology, Faculty of Medicine, Kindai University, Osakasayama, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: We investigated imaging dose and noise under clinical scan conditions at multiple institutions using a simple and unified method, and demonstrated the need for diagnostic reference levels in image-guided radiotherapy (IGRT). Materials and Methods: Nine cone-beam and helical computed tomography (CT) scanners (Varian, Elekta, Accuray Inc., and BrainLAB) from seven institutions were investigated in this study. The weighted cone-beam dose index (CBDI Results: For head and pelvic protocols, CBDI Conclusions: Among the nine machines, the imaging dose for high imaging dose institutions was approximately 20 mGy to the pelvic phantom, and there was a 14-fold difference in dose compared with the other institutions. These results suggest the need to establish DRLs for IGRT to guide clinical decision-making.

Indexed as

Diagnostic reference levelimage-guided radiotherapyimaging dose

Identifiers

PMID37576099
PMCPMC10419753

What OpenQuestion holds

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Registered trials

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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.