Evidence map›Paper›PMID 37750944›Full record

ArticleThe British journal of radiology2023

Real-time MRI of the moving wrist at 0.55 tesla.

Abhijit J Chaudhari, Yongwan Lim, Sophia X Cui, Christopher O Bayne, Robert M Szabo, Robert D Boutin, Krishna S Nayak

Open access · hybridAbstract read
In one paragraph

Article in The British journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  5. Regulation of AI algorithms for clinical decision support: a personal opinion.International journal of computer assisted radiology and surgery · 2024
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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

7 authors at 3 institutions in 1 country.

Abhijit J ChaudhariDepartment of Radiology, University of California, Davis, Sacramento, CA, USA.ORCID 0000-0002-4211-1900
Yongwan LimMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.
Sophia X CuiSiemens Medical Solutions USA Inc., Malvern, PA, USA.
Christopher O BayneDepartment of Orthopaedic Surgery, University of California Davis, Sacramento, CA, USA.
Robert M SzaboDepartment of Orthopaedic Surgery, University of California Davis, Sacramento, CA, USA.
Robert D BoutinDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
Krishna S NayakMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.
University of California, Davis · USUniversity of Southern California · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMagnetic resonance imaging (MRI) using 1.5T or 3.0T systems is routinely employed for assessing wrist pathology; however, due to off-resonance artifacts and high power deposition, these high-field systems have drawbacks for real-time (RT) imaging of the moving wrist. Recently, high-performance 0.55T MRI systems have become available. In this proof-of-concept study, we tested the hypothesis that RT-MRI during continuous, active, and uninterrupted wrist motion is feasible with a high-performance 0.55T system at temporal resolutions below 100 ms and that the resulting images provide visualization of tissues commonly interrogated for assessing dynamic wrist instability.

methodsParticipants were scanned during uninterrupted wrist radial-ulnar deviation and clenched fist maneuvers. Resulting images (nominal temporal resolution of 12.7-164.6 ms per image) were assessed for image quality. Feasibility of static MRI to supplement RT-MRI acquisition was also tested.

resultsThe RT images with temporal resolutions < 100 ms demonstrated low distortion and image artifacts, and higher reader assessment scores. Static MRI scans showed the ability to assess anatomical structures of interest in the wrist.

conclusionRT-MRI of the wrist at a high temporal resolution, coupled with static MRI, is feasible with a high-performance 0.55T system, and may enable improved assessment of wrist dynamic dysfunction and instability. ADVANCES IN KNOWLEDGE: Real-time MRI of the moving wrist is feasible with high-performance 0.55T and may improve the evaluation of dynamic dysfunction of the wrist.

Indexed as

WristWrist JointHumansMagnetic Resonance ImagingMotion

Identifiers

PMID37750944
PMCPMC10607422
OpenAlexW4387033356

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.