Evidence map›Paper›PMID 36385457›Full record

ArticleJournal of applied clinical medical physics2023

Assessment of MRI image distortion based on 6 consecutive years of annual QAs and measurements on 14 MRI scanners used for radiation therapy.

Lanchun Lu, Xiangyu Yang, Brian Raterman, Xia Jiang, Matthew Meineke, John Grecula, Dukagjin Blakaj, Joshua Palmer, Raju Raval, Evan Thomas and 2 more

Abstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Monitoring curve progression in adolescent idiopathic scoliosis, assessment of the diagnostic performance of rasterstereography in brace-treated and untreated patients.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
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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.

Lanchun LuDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.
Xiangyu YangDepartment of Radiology, The Ohio State University, Columbus, Ohio, USA.
Brian RatermanDepartment of Radiology, The Ohio State University, Columbus, Ohio, USA.
Xia JiangDepartment of Radiology, The Ohio State University, Columbus, Ohio, USA.
Matthew MeinekeDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.
John GreculaDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.
Dukagjin BlakajDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.
Joshua PalmerDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.
Raju RavalDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.
Evan ThomasDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.
David HintenlangDepartment of Radiology, The Ohio State University, Columbus, Ohio, USA.
Nilendu GuptaDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the magnitude of MRI image distortion based on 6 consecutive years of annual quality assurances/measurements on 14 MRI scanners used for radiation therapy and to provide evidence for the inclusion of additional margin for treatment planning. METHODS AND MATERIALS: We used commercial MRI image phantoms to quantitatively study the MRI image distortion over period of 6 years for up to 14 1.5 and 3 T MRI scanners that could potentially be used to provide MRI images for treatment planning. With the phantom images collected from 2016 to 2022, we investigated the MRI image distortion, the dependence of distortion on the distance from the imaging isocenter, and the possible causes of large distortion discovered.

resultsMRI image distortion increases with the distance from the imaging isocenter. For a region of interest (ROI) with a radius of 100 mm centered at the isocenter, the mean magnitude of distortion for all MRI scanners is

conclusionAn additional margin to accommodate image distortion should be considered for treatment planning. Imaging with proper patient alignment to the isocenter is vital to reducing image distortion. We recommend performing image distortion checks annually and after major upgrade on MRI scanners.

Indexed as

Radiotherapy, Image-GuidedHumansMagnetic Resonance ImagingPhantoms, ImagingRadiotherapy Planning, Computer-Assistedimaging isocentermarginMRI image distortionMRI image phantomsregion of interest

Identifiers

PMID36385457
PMCPMC9859981

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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.