Evidence map›Paper›PMID 40241332›Full record

ArticleJournal of applied clinical medical physics2025

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

Jiayi Liang, Eric Aliotta, Neelam Tyagi, Paola Godoy Scripes, Nicolas Côté, Ergys Subashi, Qijie Huang, Lian Sun, Ching-Yun Chan, Angela Ng and 4 more

Abstract read
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 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Risk analysis of the Unity 1.5T MR-Linac adapt-to-shape workflow.Journal of applied clinical medical physics · 2025
    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

14 authors.

Jiayi LiangDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA.ORCID https://orcid.org/0000-0002-2302-6604
Eric AliottaDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA.
Neelam TyagiDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA.
Paola Godoy ScripesDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA.
Nicolas CôtéDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA.
Ergys SubashiDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA.
Qijie HuangDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA.
Lian SunDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA.
Ching-Yun ChanDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA.
Angela NgDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA.
Theresa WunnerDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, USA.
Victoria BrennanDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, USA.
Kaveh ZakeriDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, USA.
James MechalakosDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, 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 purposeThe adapt-to-shape (ATS) workflow on the Unity MR-Linac (Elekta AB, Stockholm, Sweden) allows for full replanning including recontouring and reoptimization

methodFailure modes and effects analysis (FMEA) following Task Group 100

resultsRisk analysis found 264 failure modes in the ATS workflow. Of those, 82 were high-ranking failure modes that ranked in the top 20

conclusionThe flexibility of the ATS workflow, which enables reoptimization of the treatment plan, also introduces potential critical points where errors can occur. There are more opportunities for error in ATS that can create unintentionally negative dosimetric impact. FMEA can help mitigate these risks by identifying and addressing potential failure points in the ATS process.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingNeoplasmsPhantoms, ImagingRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedSoftwareWorkflowHealthcare Failure Mode and Effect AnalysisHumansRadiotherapy DosageRisk Assessmentadaptive treatmentadapt‐to‐shapeMR‐Linacprocess mapradiation oncologyrisk analysis

Identifiers

PMID40241332
PMCPMC12256694

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.