Evidence map›Paper›PMID 38055015›Full record

ArticleArchives of orthopaedic and trauma surgery2024

Utility of 3D reformatted images in the diagnosis of sternoclavicular joint injury.

Dennis Heaton, Yang Wang, Brittany Moore, Luke Frager, Brian M Everist, Jamie Crist

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Article in Archives of orthopaedic and trauma surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 69% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Dennis HeatonUniversity of Kansas Health System, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA.
Yang WangUniversity of Kansas Health System, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA.
Brittany MooreKansas City Orthopedic Alliance, 10777 Nall Ave Suite 300, Overland Park, KS, 66211, USA.
Luke FragerUniversity of Kansas Health System, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA.
Brian M EveristUniversity of Kansas Health System, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA.
Jamie CristUniversity of Kansas Health System, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA. jcrist@kumc.edu.ORCID http://orcid.org/0009-0003-1624-9134
University of Kansas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe purpose of this study is to evaluate the ability of musculoskeletal radiologists to diagnose sternoclavicular joint injuries in the standard CT imaging planes compared to 3D volume rendered images to define the most accurate plane to improve prospective diagnosis. MATERIALS AND

methodsA retrospective query of our institutional database was performed. Twenty-six patients with a diagnosis of sternoclavicular joint injury, who had been evaluated with CT and treated by orthopedic surgery, and 30 control patients who did not have a sternoclavicular joint injury were included for analysis. Two blinded radiologists with specialty training in musculoskeletal radiology independently reviewed axial, coronal, sagittal, and 3D reformatted CT images and documented whether injury was present or not present.

resultsAccuracy was good for both radiologists on all views. It was lowest on the sagittal view for both readers. Accuracy was highest for the 3D view. When comparing the accuracy of the four views for each radiologist, there was a significant difference for Radiologist A, whose 3D images were more accurate compared to the axial and sagittal views. There was no significant difference for Radiologist B. There was good inter-reader agreement, which was highest on the 3D images.

conclusion3D volume renderings of the sternoclavicular joints have the potential to improve radiologist accuracy for detection of sternoclavicular joint injury/dislocation in the setting of chest well trauma, which could decrease instances of missed or delayed diagnosis.

Indexed as

Joint DislocationsSternoclavicular JointThoracic InjuriesHumansProspective StudiesRadiographyRetrospective Studies3DChest wall traumaCTSternoclavicular joint dissociation

Identifiers

PMID38055015
OpenAlexW4389397562

What OpenQuestion holds

Textmetadata
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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.