Evidence map›Paper›PMID 40483491›Full record

ArticleRadiation oncology (London, England)2025

Long-term performance evaluation of a 1.5T MR-Linac using statistical process control techniques.

Qing Xiao, Mengdie Shen, Guangjun Li, Shipai Zhu, Jinrong He, Qiang Wang, Guyu Dai, Hang Yu, Jialu Lai, Renming Zhong and 1 more

Abstract read
In one paragraph

Article in Radiation oncology (London, England), 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. The impact of sex on setup accuracy in radiotherapy for rectal cancer: a real-World observational study.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2026
    Observational
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.

Qing XiaoDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, Sichuan, China.
Mengdie ShenDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, Sichuan, China.
Guangjun LiDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, Sichuan, China. gjnick829@sina.com.
Shipai ZhuDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, Sichuan, China.
Jinrong HeDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, Sichuan, China.
Qiang WangDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, Sichuan, China.
Guyu DaiDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, Sichuan, China.
Hang YuDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, Sichuan, China.
Jialu LaiDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, Sichuan, China.
Renming ZhongDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, Sichuan, China.
Sen BaiDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, Sichuan, China.

Funding

National Natural Science Foundation of China 12205209National Natural Science Foundation of China 12475348
6 · The paper itself

Abstract

backgroundThe integration of magnetic resonance imaging with linear accelerators (Linacs) enhances adaptive radiotherapy by providing real-time imaging for improved treatment precision. However, the long-term performance of MR-Linac systems, particularly in clinical settings, remains insufficiently studied. Traditional quality assurance (QA) methods, relying on binary pass/fail criteria, may overlook critical system variations. This study applies statistical process control (SPC) techniques to evaluate the long-term performance of a 1.5T MR-Linac, focusing on optimization in beam quality, MR-to-MV alignment, MR imaging, and geometric distortion.

methodsA dual-phase SPC framework was applied to 1 year of daily and weekly QA data from an Elekta Unity MR-Linac. Phase I established performance benchmarks, while Phase II monitored deviations online. Evaluated parameters included beam output, symmetry, MR-to-MV alignment, signal-to-noise ratio (SNR), spatial linearity, slice profile, and geometric distortion across spherical volumes (DSVs). Stability and variability were quantified using control charts and process performance indices (Ppk).

resultsBeam quality was stable overall (Ppk ≥ 1.33), though output dose and transverse symmetry showed increased variability in Phase II, with dose Ppk declining from 3.13 to 1.33. MR-to-MV alignment was consistent, but Phi rotational and Z translational offsets showed variability after system upgrades. Imaging metrics, including SNR and spatial linearity, achieved A + performance (Ppk ≥ 1.67) in Phase II, while vertical spatial resolution was lower (Ppk 1.04-1.10). Geometric distortion was well-controlled, though larger DSVs (≥ 500 mm) showed increased AP-axis distortion (2.44 mm) compared to RL (1.37 mm) and FH (0.93 mm).

conclusionsSPC techniques dynamically identified stable parameters and areas for improvement. Key recommendations include enhanced alignment protocols for beam quality and MR-to-MV offsets, as well as targeted strategies to address geometric distortion in larger volumes and along the AP axis.

Indexed as

Magnetic Resonance ImagingNeoplasmsParticle AcceleratorsQuality Assurance, Health CareRadiotherapy Planning, Computer-AssistedHumansImage Processing, Computer-AssistedQuality ControlRadiotherapy DosageRadiotherapy, Intensity-ModulatedSignal-To-Noise RatioAdaptive radiotherapyGeometric distortionMR-LinacQuality assuranceStatistical process control

Identifiers

PMID40483491
PMCPMC12145638

What OpenQuestion holds

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LicenceCC BY
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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.