Evidence map›Paper›PMID 40197704›Full record

ArticleJournal of applied clinical medical physics2025

Log file-based quality assurance method for respiratory gating system.

Wonjoong Cheon, Young Kyu Lee, Yunji Seol, Chan-Beom Park, Hong Qi Tan, Kyu Hye Choi, Young-Nam Kang, Byung Ock Choi

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2025. 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
  2. Log file-based quality assurance method for respiratory gating system.Journal of applied clinical medical physics · 2025
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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

8 authors.

Wonjoong CheonDepartment of Radiation Oncology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-5721-3347
Young Kyu LeeDepartment of Radiation Oncology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Yunji SeolDepartment of Radiation Oncology, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
Chan-Beom ParkDepartment of Biomedicine & Helath Sciences, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Hong Qi TanDivision of Radiation Oncology, National Cancer Centre Singapore, Singapore, Singapore.
Kyu Hye ChoiDepartment of Radiation Oncology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Young-Nam KangDepartment of Radiation Oncology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Byung Ock ChoiDepartment of Radiation Oncology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Funding

Korea Electrotechnology Research InstituteNational Research Council of Science and Technology 25A01058Research Fund of Seoul St.Mary's Hospital, The Catholic University of Korea ZC25EISI0066
6 · The paper itself

Abstract

backgroundAs medical linear accelerator technology advances, enabling higher dose rate deliveries, hypofractionation regimens has increased. This necessitates respiratory gating systems that synchronize radiation delivery with tumor position, requiring simple rigorous quality assurance (QA) to ensure treatment accuracy and patient safety. PURPOSE: This study aimed to propose log-based QA for respiratory-gated radiation therapy using the respiratory gating system and treatment machine.

methods4D CT scans were performed with a Varian motion phantom using a Varian Respiratory Gating for Scanner (RGSC). A treatment plan using 25%-75% respiratory phases with 100 MU was created and delivered to a solid water phantom. Treatment logs containing respiratory signals, beam on/off flags, and frame information were extracted from the treatment planning system's offline review. Log file analyses were conducted using in-house softwares to assess temporal synchronization between respiratory phases and beam triggers. Output measurements using a calibrated ion chamber (FC65G) were performed to evaluate dosimetric accuracy. Additionally, EPID images were acquired in cine mode and analyzed frame-by-frame to independently verify beam delivery timing.

resultsLog file analysis revealed precise temporal synchronization, with mean time differences of 0.03 s ± 0.05 s between the planned 25% phase and beam-on, and -0.04 s ± 0.05 s between 75% phase and beam-off. The log-derived beam-on duration (2.61 s ± 0.02 s) closely matched the planned duration (2.66 s ± 0.00 s). Three-month log data showed consistent temporal accuracy, with trigger-on times remaining stable at 2.60 s ± 0.01 s across all measurements. Supporting ion chamber measurements confirmed dosimetric agreement between gating and non-gating modes (difference: 0.05 cGy ± 0.09 cGy)

conclusionsThe proposed log file-based QA method demonstrated high accuracy and reproducibility in assessing respiratory gating performance. This approach provides an efficient, objective method for standardizing QA procedures in respiratory-gated radiation therapy, enhancing treatment accuracy and patient safety.

Indexed as

Four-Dimensional Computed TomographyImage Processing, Computer-AssistedNeoplasmsPhantoms, ImagingQuality Assurance, Health CareRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedRespiratory-Gated Imaging TechniquesHumansParticle AcceleratorsRadiotherapy DosageRespirationLog file‐based analysisquality assurance (QA)radiation therapyrespiratory gatingRGSC (Respiratory Gating for Scanner) system

Identifiers

PMID40197704
PMCPMC12256268

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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.