Evidence map›Paper›PMID 23716283›Full record

ArticleLa Radiologia medica2013

MRI can assess glenoid bone loss after shoulder luxation: inter- and intra-individual comparison with CT.

Alessandro Stecco, Elena Guenzi, Teresa Cascone, Francesco Fabbiano, Paolo Fornara, Paolo Oronzo, Federico Alberto Grassi, Gregorio Cecchi, Mario Caniggia, Marco Brambilla and 1 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in La Radiologia medica, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Current Concepts in the Measurement of Glenohumeral Bone Loss.Current reviews in musculoskeletal medicine · 2023
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Imaging of the Unstable Shoulder.The open orthopaedics journal · 2017
    Article
  17. Article
  18. Radiographic sclerotic contour loss in the identification of glenoid bone loss.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2016
    Article
  19. Techniques to evaluate glenoid bone loss.Current reviews in musculoskeletal medicine · 2014
    Article
  20. 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

11 authors at 4 institutions in 2 countries.

Alessandro SteccoSCDU Radiologia, A.O.U. Maggiore della Carità di Novara, Corso Mazzini 18, 28100, Novara, Italy, a.stecco@libero.it.
Elena Guenzi
Teresa Cascone
Francesco Fabbiano
Paolo Fornara
Paolo Oronzo
Federico Alberto Grassi
Gregorio Cecchi
Mario Caniggia
Marco Brambilla
Alessandro Carriero
Azienda Ospedaliera Ospedale Maggiore · ITUniversità degli Studi del Piemonte Orientale “Amedeo Avogadro” · ITFidal · FRAzienda Ospedaliero Universitaria Maggiore della Carita · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveComputed tomography (CT) is the gold standard for evaluating glenoid bone loss in patients with glenohumeral dislocations. The aim of this study was to verify if magnetic resonance imaging (MRI) can quantify the area of bone loss without any significant difference from CT. MATERIALS AND

methodsTwenty-three patients, who had experienced one or more post-traumatic unilateral glenohumeral dislocations, underwent MRI and CT. MR and multiplanar reconstruction CT images were acquired in the sagittal plane: the glenoid area and the area of bone loss were calculated using the PICO method. Mean values, percentages, Cohen's kappa coefficients and Bland-Altman plots were all used to confirm the working hypothesis.

resultsThe mean glenoid surface area was 575.29 mm(2) as measured by MRI, and 573.76 mm(2) as measured by CT; the calculated mean glenoid bone loss was respectively 4.38% and 4.34%. The interobserver agreement was good (k>0.81), and the coefficient of variance was 5% of the mean value using both methods. The two series of measurements were within two standard deviations of each other.

conclusionsMRI is a valid alternative to CT for measuring glenoid bone loss in patients with glenohumeral dislocation.

Indexed as

Magnetic Resonance ImagingTomography, X-Ray ComputedAdultFemaleGlenoid CavityHumansImage Interpretation, Computer-AssistedJoint InstabilityMaleShoulder Dislocation

Identifiers

PMID23716283
OpenAlexW2212346785

What OpenQuestion holds

Textmetadata
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.