Evidence map›Paper›PMID 36562906›Full record

ArticleLa Radiologia medica2023

Glenoid bone loss in anterior shoulder dislocation: a multicentric study to assess the most reliable imaging method.

Marcello Zappia, Domenico Albano, Alberto Aliprandi, Antonio Barile, Luca Brunese, Alessandro Castagna, Andrea Cozzolino, Massimo De Filippo, Francesco Di Pietto, Mariano Giuseppe Di Salvatore and 12 more

Open access · greenAbstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in La Radiologia medica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. [Study on the evaluation of glenoid bone defects by MRI three-dimensional reconstruction].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 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

22 authors at 15 institutions in 3 countries.

Marcello ZappiaDepartment of Medicine and Health Sciences, University of Molise, Campobasso, Italy.
Domenico AlbanoIRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
Alberto AliprandiUnit of Radiology, Clinical Institutes Zucchi, Monza, Monza Brianza, Italy.
Antonio BarileDepartment of Applied Clinical Sciences and Biotechnology, University of L'Aquila, 67100, L'Aquila, Italy.
Luca BruneseDepartment of Medicine and Health Sciences, University of Molise, Campobasso, Italy.
Alessandro CastagnaHumanitas Clinical and Research Center - IRCCS, Rozzano, MI, Italy.
Andrea CozzolinoDepartment of Public Health, Division of Orthopaedic Surgery, Federico II'' University, Via S. Pansini 5, Bd. 12, 80131, Naples, Italy.
Massimo De FilippoUniversity of Parma, Parma Hospital, Via Gramsci 14, 43126, Parma, Italy.
Francesco Di PiettoDepartment of Radiology, Pineta Grande Hospital, Castel Volturno, CE, Italy.
Mariano Giuseppe Di SalvatoreDepartment of Medicine and Health Sciences, University of Molise, Campobasso, Italy.
Eugenio Annibale GenoveseInsubria University, Varese, Italy.
Salvatore GuarinoDepartment of Radiology, Azienda Ospedaliera Dei Colli, Monaldi Hospital, Naples, Italy.
Pasquale GuerrieroDepartment of Medicine and Health Sciences, University of Molise, Campobasso, Italy.
Giovanni MerollaShoulder and Elbow Unit, Cervesi Hospital, AUSL Romagna, Cattolica, Italy.
Carmelo MessinaIRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
Riccardo RanieriDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Alfonso Maria RomanoDepartment of Shoulder Surgery, Campolongo Hospital, Eboli, Italy.
Raffaele RussoDepartment of Medicine and Health Sciences, University of Molise, Campobasso, Italy.
Michele TumminelloDepartment of Economics, Business, and Statistics, University of Palermo, Palermo, Italy.
Pierluigi Salvo RossiDepartment of Electronic Systems, Norwegian University of Science and Technology, Trondheim, Norway.
Luca Maria SconfienzaIRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
Vito ChiancaClinica Di Radiologia EOC IIMSI, Lugano, Switzerland. vitochianca@gmail.com.ORCID http://orcid.org/0000-0002-2279-5559
University of Molise · ITHumanitas University · ITIstituto Ortopedico Galeazzi · ITAzienda Unità Sanitaria Locale Della Romagna · ITCTO Hospital · ITFederico II University Hospital · ITNorwegian University of Science and Technology · NOOspedale Monaldi · ITRegione Campania · ITUniversity of Insubria · ITUniversity of L'Aquila · ITUniversity of Milan · ITUniversity of Palermo · ITUniversity of Parma · ITVilla Pineta Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this multicentric study was to assess which imaging method has the best inter-reader agreement for glenoid bone loss quantification in anterior shoulder instability. A further aim was to calculate the inter-method agreement comparing bilateral CT with unilateral CT and MR arthrography (MRA) with CT measurements. Finally, calculations were carried out to find the least time-consuming method.

methodA retrospective evaluation was performed by 9 readers (or pairs of readers) on a consecutive series of 110 patients with MRA and bilateral shoulder CT. Each reader was asked to calculate the glenoid bone loss of all patients using the following methods: best fit circle area on both MRA and CT images, maximum transverse glenoid width on MRA and CT, CT PICO technique, ratio of the maximum glenoid width to height on MRA and CT, and length of flattening of the anterior glenoid curvature on MRA and CT. Using Pearson's correlation coefficient (PCC), the following agreement values were calculated: the inter-reader for each method, the inter-method for MRA with CT quantifications and the inter-method for CT best-fit circle area and CT PICO. Statistical analysis was carried out to compare the time employed by the readers for each method.

resultsInter-reader agreement PCC mean values were the following: 0.70 for MRA and 0.77 for CT using best fit circle diameter, 0.68 for MRA and 0.72 for CT using best fit circle area, 0.75 for CT PICO, 0.64 for MRA and 0.62 for CT anterior straight line and 0.49 for MRA and 0.43 for CT using length-to-width ratio. CT-MRA inter-modality PCC mean values were 0.9 for best fit circle diameter, 0.9 for best fit circle area, 0.62 for anterior straight line and 0.94 for length-to-width methods. PCC mean value comparing unilateral CT with PICO CT methods was 0.8. MRA best fit circle area method was significantly faster than the same method performed on CT (p = 0.031), while no significant difference was seen between CT and MRA for remaining measurements.

conclusionsCT PICO is the most reliable imaging method, but both CT and MRA can be reliably used to assess glenoid bone loss. Best fit circle area CT and MRA methods are valuable alternative measurement techniques.

Indexed as

Bone Diseases, MetabolicJoint InstabilityShoulder DislocationShoulder JointHumansReproducibility of ResultsRetrospective StudiesShoulderTomography, X-Ray ComputedAnterior shoulder instabilityBone lossCTGlenoid bony defectMeasurement techniqueMRIPICO

Identifiers

PMID36562906
OpenAlexW4312113551

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Registered trials

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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.