Evidence map›Paper›PMID 31965594›Full record

ArticleJournal of orthopaedic research : official publication of the Orthopaedic Research Society2020

Thinking outside the glenohumeral box: Hierarchical shape variation of the periarticular anatomy of the scapula using statistical shape modeling.

Matthijs Jacxsens, Shireen Y Elhabian, Sarah E Brady, Peter N Chalmers, Andreas M Mueller, Robert Z Tashjian, Heath B Henninger

Open access · greenAbstract read
In one paragraph

Article in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  4. Article
  5. Particle-Based Shape Modeling for Arbitrary Regions-of-Interest.Shape in medical imaging : International Workshop, ShapeMI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. ShapeMI (Workshop) (2023 : Vancouver, B.C.) · 2023
    Article
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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 2 institutions in 2 countries.

Matthijs JacxsensDepartment of Orthopaedics, University of Utah, Salt Lake City, Utah.
Shireen Y ElhabianSchool of Computing, Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah.
Sarah E BradyDepartment of Biomedical Engineering, University of Utah, Salt Lake City, Utah.
Peter N ChalmersDepartment of Orthopaedics, University of Utah, Salt Lake City, Utah.
Andreas M MuellerDepartment of Orthopaedics and Traumatology, University Hospital of Basel, Basel, Switzerland.
Robert Z TashjianDepartment of Orthopaedics, University of Utah, Salt Lake City, Utah.ORCID 0000-0003-4112-0423
Heath B HenningerDepartment of Orthopaedics, University of Utah, Salt Lake City, Utah.ORCID 0000-0002-3635-1289
University of Utah · USUniversity Hospital of Basel · CH

Funding

TRD - VisualizationP41GM103545 · NIGMS · UNIVERSITY OF UTAH · PI JURRUS, ELIZABETH · 2012 to 2019
$9.7M
NIGMS NIH HHS P41 GM103545
6 · The paper itself

Abstract

Variation in the shape of the glenoid and periarticular anatomy of the scapula has been associated with shoulder pathology. The goal of this study was to identify the modes of shape variation of periarticular scapular anatomy in relation to the glenoid in nonpathologic shoulders. Computed tomography scans of 31 cadaveric scapulae, verified to be free of pathology, were three-dimensionally reconstructed. Statistical shape modeling and principal component analysis identified the modes of shape variation across the population. Corresponding linear and angular measurements quantified the morphometric variance identified by the modes. Linear measures were normalized to the radius of the inferior glenoid to account for differences in the scaling of the bones. Five modes captured 89.7% of total shape variation of the glenoid and periarticular anatomy. Apart from size differences (mode 1: 33.0%), acromial anatomy accounted for the largest variation (mode 2: 32.0%). Further modes described variation in glenoid inclination (mode 3: 11.8%), coracoid orientation and size (mode 4: 9.0%), and variation in coracoacromial (CA) morphology (mode 5: 3.1%). The average scapula had a mean acromial tilt of 49 ± 7°, scapular spine angle of 61 ± 6°, the glenoid inclination of 84 ± 4°, coracoid deviation angle of 26 ± 4°, coracoid length of 3.7 ± 0.3 glenoid radii, and a CA base length of 5.6 ± 0.5 radii. In this study, the identified shape modes explain almost all of the variance in scapular anatomy. The acromion exhibited the highest variance of all periarticular anatomic structures of the scapula in relation to the glenoid, which may play a role in many shoulder pathologies.

Indexed as

Anatomic VariationModels, StatisticalAdultAgedFemaleHumansMaleMiddle AgedScapulaShoulder Jointbone morphologyglenoidscapular anatomyshoulderstatistical shape modeling

Identifiers

PMID31965594
PMCPMC7375008
OpenAlexW3000978101

What OpenQuestion holds

Textmetadata
LicenceTDM
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.