Evidence map›Paper›PMID 41253712›Full record

ArticleJournal of applied clinical medical physics2025

An automated daily QA strategy for dosimetry and imaging guidance check of a novel PET/CT ring gantry linac.

Sagar Ghimire, Yang Kyun Park, Grant Gibbard, Jun Tan, Thomas I Banks, Chenyang Shen, Rameshwar Prasad, Tingliang Zhuang, Andrew Godley, Steve B Jiang and 1 more

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 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

11 authors.

Sagar GhimireDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Yang Kyun ParkDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Grant GibbardRefleXion Medical, Hayward, California, USA.
Jun TanDepartment of Radiation Oncology, Mayo Clinic, Jasonville, Florida, USA.
Thomas I BanksDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0003-4786-6891
Chenyang ShenDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0001-6490-6555
Rameshwar PrasadDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Tingliang ZhuangDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Andrew GodleyDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Steve B JiangDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Bin CaiDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe RefleXion X1 is a novel PET/CT-guided ring gantry linac that introduces unique geometry and workflow compared to conventional systems. Existing QA guidelines (AAPM TG-142, 148, 306) cover standard linacs and tomotherapy but do not address this platform's needs. Therefore, an automated daily QA solution is required to ensure accurate output, imaging guidance, and couch positioning, which motivated the development and evaluation of the workflow presented in this study. PURPOSE: To develop and evaluate an automated, efficient, and comprehensive daily quality assurance (QA) workflow for a novel PET/CT-guided ring gantry linear accelerator (RefleXion X1), incorporating tests for dosimetry, imaging guidance, and couch positioning accuracy.

methodsAn IMRT QA plan was designed following the CT scan of the TomoDose 2D diode detector array (Sun Nuclear, Melbourne, FL) within the RefleXion treatment planning system (TPS). Several spherical targets of varying sizes were contoured to conform the dose distribution to these targets and evaluate beam output, laser localization, profile constancy, and CT-MV isocenter coincidence. Linear models correlating spatial location of dose peak with intentional shifts in different directions were developed and integrated into an in-house analysis software, iQA, written in C#. The software was validated for robustness and successfully implemented in clinical practice.

resultsValidation with 42 intentional shifts showed submillimeter accuracy, with mean deviations of 0.2 mm (X), 0.1 mm (Y), and 0.79 mm (Z), and R

conclusionThis fully automated, single-delivery QA workflow enables efficient and robust evaluation of multiple IGRT performance parameters. It improves standardization, reduces human error, and reliably monitors long-term machine stability. The tools and methodology may be adopted by other clinics seeking a practical and automated daily QA solution. Future developments will focus on incorporating PET QA and rotational couch validations to further enhance the system's comprehensiveness and adaptability.

Indexed as

Image Processing, Computer-AssistedNeoplasmsParticle AcceleratorsPhantoms, ImagingPositron Emission Tomography Computed TomographyQuality Assurance, Health CareRadiometryRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedHumansRadiotherapy DosageRadiotherapy, Intensity-ModulatedDaily QAimage‐guided radiotherapyPET‐linacRefleXion X1

Identifiers

PMID41253712
PMCPMC12626748

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LicenceCC BY
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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.