Evidence map›Paper›PMID 35653348›Full record

ArticlePloS one2022

Dynamic tracking of scaphoid, lunate, and capitate carpal bones using four-dimensional MRI.

Mohammad Zarenia, Volkan Emre Arpinar, Andrew S Nencka, L Tugan Muftuler, Kevin M Koch

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. Real-time MRI of the moving wrist at 0.55 tesla.The British journal of radiology · 2023
    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

5 authors at 1 institution in 1 country.

Mohammad ZareniaDepartment of Radiology, Medical College of Wisconsin, Milwaukee, WI, United States of America.ORCID 0000-0002-0884-0958
Volkan Emre ArpinarDepartment of Radiology, Medical College of Wisconsin, Milwaukee, WI, United States of America.
Andrew S NenckaDepartment of Radiology, Medical College of Wisconsin, Milwaukee, WI, United States of America.ORCID 0000-0001-5268-2718
L Tugan MuftulerDepartment of Radiology, Medical College of Wisconsin, Milwaukee, WI, United States of America.
Kevin M KochDepartment of Radiology, Medical College of Wisconsin, Milwaukee, WI, United States of America.ORCID 0000-0003-4490-9761
Medical College of Wisconsin · US

Funding

Enabling Kinematic Joint Profiling Using MRIR21AR075327 · NIAMS · MEDICAL COLLEGE OF WISCONSIN · PI KOCH, KEVIN M · 2020 to 2021
$379k
NIAMS NIH HHS R21 AR075327
6 · The paper itself

Abstract

A preliminary exploration of technical methodology for dynamic analysis of scaphoid, capitate, and lunate during unconstrained movements is performed in this study. A heavily accelerated and fat-saturated 3D Cartesian MRI acquisition was used to capture temporal frames of the unconstrained moving wrist of 5 healthy subjects. A slab-to-volume point-cloud based registration was then utilized to register the moving volumes to a high-resolution image volume collected at a neutral resting position. Comprehensive in-silico error analyses for different acquisition parameter settings were performed to evaluate the performance limits of several dynamic metrics derived from the registration parameters. Computational analysis suggested that sufficient volume coverage for the dynamic acquisitions was reached when collecting 12 slice-encodes at 2.5mm resolution, which yielded a temporal resolution of and 2.6 seconds per volumetric frame. These acquisition parameters resulted in total in-silico errors of 1.9°±1.8° and 3°±4.6° in derived principal rotation angles within ulnar-radial deviation and flexion-extension motion, respectively. Rotation components of the carpal bones in the radius coordinate system were calculated and found to be consistent with earlier 4D-CT studies. Temporal metric profiles derived from ulnar-radial deviation motion demonstrated better performance than those derived from flexion/extension movements. Future work will continue to explore the use of these methods in deriving more complex dynamic metrics and their application to subjects with symptomatic carpal dysfunction.

Indexed as

Scaphoid BoneBiomechanical PhenomenaHumansMagnetic Resonance ImagingRange of Motion, ArticularRotation

Identifiers

PMID35653348
PMCPMC9162359
OpenAlexW4281892928

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.