Evidence map›Paper›PMID 42374503›Full record

ArticleRadiation oncology (London, England)2026

Failure modes and effects analysis of LINAC-based stereotactic arrhythmia radioablation categorized by segmental targets.

Jing Li, Yongchang Wu, Qingyong Chen, Hao Guo, Ran Luo, Long Bai, Weige Wei, Yanmei Hao, Hang Yu, Guyu Dai and 5 more

Abstract read
In one paragraph

Article in Radiation oncology (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Jing LiDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Yongchang WuDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Qingyong ChenDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Hao GuoCollege of Physics, Sichuan University, Chengdu, Sichuan, 610041, China.
Ran LuoSchool of Physics and Technology, Wuhan University, Wuhan, Hubei, 430072, China.
Long BaiDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Weige WeiDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Yanmei HaoDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Hang YuDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Guyu DaiDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Xiangyu ZhangDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Qing XiaoDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Qing YangDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Sen BaiDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Guangjun LiDepartment of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China. gjnick829@sina.com.ORCID https://orcid.org/0000-0003-2054-1771

Funding

Chengdu Municipal Science and Technology Program 2022YF0900031SNNational Natural Science Foundation of China 12205209National Natural Science Foundation of China 12475348Sichuan Provincial Science and Technology Support Program 2023ZYD0098Sichuan University Innovation Research Project 2022SCUH0021West China Hospital, Sichuan University 2022HXFH009
6 · The paper itself

Abstract

backgroundStereotactic arrhythmia radioablation (STAR) is an emerging treatment for refractory or recurrent arrhythmias. Compared with conventional stereotactic body radiotherapy (SBRT), STAR involves greater complexity in target delineation, motion management, and organs at risk (OARs) protection, yet it lacks established consensus clinical guidelines, and workflow-specific risk analyses remain limited.

objectiveTo develop a C-arm linear accelerator (LINAC)-based STAR workflow and perform a failure modes and effects analysis (FMEA) with fault tree analysis (FTA), supplemented by an exploratory segment-based anatomical proximity analysis.

methodsA multidisciplinary team constructed a process map for C-arm LINAC-based STAR and identified potential failure modes across the workflow. Risks were scored using occurrence, severity, and detectability to calculate risk priority numbers (RPNs), and FTA was used to analyze causal pathways. In a predefined exploratory imaging subgroup of eight patients with ventricular tachycardia and simulation-acquired coronary computed tomography angiography (CCTA), we divided the left ventricle according to the 17-segment model and measured the minimum distances from each segment to adjacent OARs as an anatomical surrogate of exposure likelihood.

resultsSeventy-nine failure modes were identified, of which 17 were classified as high risk. The highest-risk failure modes were concentrated in target delineation and motion-related steps, including inaccurate multimodal image registration (RPN 432), improper motion evaluation/management (RPN 336), and diagnostic error of arrhythmia substrate definition (RPN 320). In the exploratory imaging subgroup (n = 8), segmental spatial patterns were moderately consistent across patients, with most standard deviations of minimum distance below 2.0 cm, although variability remained for several segment-OAR relationships. Segments 4, 5, and 10 were each located within 2 cm of both the stomach and esophagus, indicating relatively higher anatomical proximity-related risk.

conclusionIn this FMEA of C-arm LINAC-based STAR, the principal high-risk workflow steps were concentrated in substrate definition, image registration, and motion management. The segment-based analysis provides an exploratory anatomical risk-mapping framework for OAR awareness. Further multicenter studies are needed to refine workflow risk prioritization and evaluate the clinical relevance of the segment-based anatomical findings. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Arrhythmias, CardiacHealthcare Failure Mode and Effect AnalysisParticle AcceleratorsRadiosurgeryRadiotherapy Planning, Computer-AssistedHumansOrgans at RiskFailure modes and effects analysisFault tree analysisQuality improvementSegmental targetsStereotactic arrhythmia radioablationVentricular arrhythmia

Identifiers

PMID42374503
PMCPMC13576228

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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.