Evidence map›Paper›PMID 40461359›Full record

ArticleZeitschrift fur medizinische Physik2025

Safety in MR-enhanced daily adaptive SBRT Radiotherapy using a conventional C-arm linear accelerator: An FMEA approach.

Lotte Wilke, Sebastian M Christ, Riccardo Dal Bello, Elizabeth Denney, Silvia Fabiano, Hubert S Gabryś, Klara Kefer, Michael Mayinger, Ina Nilo, Sophie Perryck and 3 more

Abstract read
In one paragraph

Article in Zeitschrift fur medizinische Physik, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Adaptive radiotherapy incident-informed team training: a development and feasibility study.Technical innovations & patient support in radiation oncology · 2026
    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

13 authors.

Lotte WilkeDepartment of Radiation Oncology, University Hospital Zurich, Switzerland. Electronic address: lotte.wilke@usz.ch.
Sebastian M ChristDepartment of Radiation Oncology, University Hospital Zurich, Switzerland.
Riccardo Dal BelloDepartment of Radiation Oncology, University Hospital Zurich, Switzerland.
Elizabeth DenneyDepartment of Radiation Oncology, University Hospital Zurich, Switzerland.
Silvia FabianoDepartment of Radiation Oncology, University Hospital Zurich, Switzerland.
Hubert S GabryśDepartment of Radiation Oncology, University Hospital Zurich, Switzerland.
Klara KeferDepartment of Radiation Oncology, University Hospital Zurich, Switzerland.
Michael MayingerDepartment of Radiation Oncology, University Hospital Zurich, Switzerland.
Ina NiloDepartment of Radiation Oncology, University Hospital Zurich, Switzerland.
Sophie PerryckDepartment of Radiation Oncology, University Hospital Zurich, Switzerland.
Jens von der GrünDepartment of Radiation Oncology, University Hospital Zurich, Switzerland.
Matthias GuckenbergerDepartment of Radiation Oncology, University Hospital Zurich, Switzerland.
Stephanie Tanadini-LangDepartment of Radiation Oncology, University Hospital Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeMR-guided adaptive Radiotherapy has the potential to compensate for interfractional changes in patient anatomy. Modern hybrid devices, which combine MR and linear accelerator technologies, have been clinically implemented but their costs may prevent broad adoption. To accelerate the adoption of MR-guided adaptive radiotherapy, we developed a workflow for MR-enhanced daily adaptive Radiotherapy on a C-arm linac using a dedicated MR simulator and a patient transfer shuttle system. A failure mode and effects analysis (FMEA) was performed to identify possible risks in this newly developed workflow. MATERIALS AND

methodsA workflow for MR-enhanced daily adaptive SBRT (MEDAS) on a Varian Truebeam linac was developed using a stand-alone 1.5T MR-simulator and patient transfer using a shuttle system. The different process steps were conceptualized in a multidisciplinary team and an FMEA of the different process steps was performed as well as measures for mitigation of possible risks were discussed.

resultsThe FMEA identified 23 failure modes across eight process steps, with the majority occurring during base plan preparation and adaptive planning. Seventeen (74%) failure modes were classified as low risk, while six (26%) were assessed as medium risk. No high-risk failure modes were identified. Risk mitigation measures, including workflow automation and checklist enhancements, successfully reduced all failure modes to low risk while not introducing new risks

conclusionWe developed a workflow for MEDAS on a conventional C-Arm linac. In this process, an FMEA was performed in a multidisciplinary team. The FMEA identified and addressed six medium-risk failure modes within the MEDAS workflow. Through further automation and adaption of existing checklists, the occurrence- and discover probability was successfully reduced, such that these failure modes are decreased to a low risk.

Indexed as

Magnetic Resonance ImagingParticle AcceleratorsRadiosurgeryRadiotherapy, Image-GuidedHealthcare Failure Mode and Effect AnalysisHumansRadiotherapy Planning, Computer-AssistedWorkflowDaily adaptive RTMR guided RTOnline-adaptive RTSBRT

Identifiers

PMID40461359
PMCPMC12766485

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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.