Evidence map›Paper›PMID 36411990›Full record

ArticleJournal of applied clinical medical physics2023

Risk analysis of the Unity 1.5 T MR-Linac adapt-to-position workflow.

Jiayi Liang, Paola Godoy Scripes, Neelam Tyagi, Ergys Subashi, Theresa Wunner, Nicolas Cote, Ching-Yun Chan, Angela Ng, Victoria Brennan, Kaveh Zakeri and 2 more

Full text read
In one paragraph

Article in Journal of applied clinical medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  7. Article
  8. Risk analysis of the Unity 1.5T MR-Linac adapt-to-shape workflow.Journal of applied clinical medical physics · 2025
    Article
  9. Article
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  11. Article
  12. Article
  13. Optimization of treatment workflow for 0.35T MR-Linac system.Journal of applied clinical medical physics · 2024
    Article
  14. Risk analysis of the Unity 1.5 T MR-Linac adapt-to-position workflow.Journal of applied clinical medical physics · 2023
    Article
  15. 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

12 authors.

Jiayi LiangDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Paola Godoy ScripesDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Neelam TyagiDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Ergys SubashiDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Theresa WunnerDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Nicolas CoteDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Ching-Yun ChanDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Angela NgDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Victoria BrennanDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Kaveh ZakeriDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Cassandra WildbergerDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
James MechalakosDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

background and purposeNewer technologies allow for daily treatment adaptation, providing the ability to account for setup variations and organ motion but comes at the cost of increasing the treatment workflow complexity. One such technology is the adapt-to-position (ATP) workflow on the Unity MR-Linac. Prospective risk assessment of a new workflow allows clinics to catch errors before they occur, especially for processes that include novel and unfamiliar steps.

methodsAs part of a quality management program, failure modes and effects analysis was performed on the ATP treatment workflow following the recommendations of AAPM's Task Group 100. A multidisciplinary team was formed to identify and evaluate failure modes for all the steps taken during a daily treatment workflow. Failure modes of high severity and overall score were isolated and addressed.

resultsMitigations were determined for high-ranking failure modes and implemented into the clinic. High-ranking failure modes existed in all steps of the workflow. Failure modes were then rescored to evaluate the effectiveness of the mitigations.

conclusionFailure modes and effects analysis on the Unity MR-Linac highlighted areas in the ATP workflow that could be prone to failures and allowed our clinic to change the process to be more robust.

Indexed as

Adenosine TriphosphateHumansProspective StudiesRisk AssessmentWorkflowAdenosine Triphosphateadapt to positionATPfailure modes and effects analysisFMEAMR-guided radiation therapyMR-Linac

Identifiers

PMID36411990
PMCPMC10018675

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Textfull text, public
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.