Evidence map›Paper›PMID 40660876›Full record

ArticleJournal of applied clinical medical physics2025

Evaluation of a Monte Carlo based EPID system for patient-specific IMRT and VMAT quality assurance.

Wuji Sun, Chao Ge, Yinghua Shi, Xiaohe He, Li Xiao, Yanfang Liu, Zhi Wang, Tianlong Ji, Huidong Wang

Abstract readEvaluation Study
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

9 authors.

Wuji SunDepartment of Radiation Oncology & Therapy, The First Hospital of Jilin University, Changchun, China.ORCID https://orcid.org/0000-0001-6438-0004
Chao GeDepartment of Radiation Oncology & Therapy, The First Hospital of Jilin University, Changchun, China.
Yinghua ShiDepartment of Radiation Oncology & Therapy, The First Hospital of Jilin University, Changchun, China.
Xiaohe HeUnited Imaging Healthcare Co., Ltd., Shanghai, China.
Li XiaoUnited Imaging Healthcare Co., Ltd., Shanghai, China.
Yanfang LiuUnited Imaging Healthcare Co., Ltd., Shanghai, China.
Zhi WangDepartment of Radiation Oncology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Tianlong JiDepartment of Radiation Oncology, The First Hospital of China Medical University, Shenyang, China.
Huidong WangDepartment of Radiation Oncology & Therapy, The First Hospital of Jilin University, Changchun, China.ORCID https://orcid.org/0000-0001-7524-5721

Funding

Jilin Scientific and Technological Development Program YDZJ202201ZYTS685Liaoning Provincial Science and Technology Program Joint Program 2023JH2/101700114
6 · The paper itself

Abstract

purposeThis study aims to evaluate the performance of a new electronic portal imaging device (EPID) system with a Monte Carlo (MC) based algorithm for patient-specific quality assurance (PSQA), ensuring its reliability and effectiveness in treatment verification efficiency and precision.

methodsSixteen patients with various tumor sites were divided evenly into two groups for dynamic intensity-modulated radiation therapy and volumetric modulated arc therapy verification. Measurements were performed on a UIH uRT-linac 506c linear accelerator with a Varex Imaging XRD 1642 EPID. The performance of the EPID was assessed for sensitivity to errors in monitor units, collimator angle, field offset, field size, and multi-leaf collimator functionality. Treatment plans were modified for each error and verified to determine the capability of the system to detect perturbations from the planned dose distribution, which was quantitatively analyzed using γ index analysis (2%/2 mm, 10% low-dose threshold). Additionally, the ArcCHECK phantom was employed to validate the EPID system for PSQA and induced error detection. Pearson's correlation coefficient was employed to assess correlations between γ passing rates and induced errors.

resultsThe EPID system showed high accuracy in dose linearity and error detection, with γ passing rates consistently above 95% for original plans. Sensitivity tests indicated strong correlations between induced errors and γ passing rates, confirming the capability of this system to detect subtle dosimetric discrepancies and supporting its application for PSQA. Both EPID and ArcCHECK demonstrated comparable γ passing rates in PSQA of standardized plans and treatment plans, with EPID showing higher or comparable sensitivity to tested errors.

conclusionThe EPID Plan QA system showed promising accuracy and sensitivity in detecting errors, proving to be a reliable tool for PSQA. Its seamless integration into clinical workflows is expected to enhance treatment verification efficiency and ensure precise radiotherapy delivery.

Indexed as

Electrical Equipment and SuppliesMonte Carlo MethodNeoplasmsParticle AcceleratorsPhantoms, ImagingQuality Assurance, Health CareRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedAlgorithmsHumansRadiometryRadiotherapy DosagedosimetryEPIDMonte Carlopatient specific quality assuranceradiotherapy

Identifiers

PMID40660876
PMCPMC12260258

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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.