Literature DB >> 24805966

Recurrent anterior glenohumeral instability: the quantification of glenoid bone loss using magnetic resonance imaging.

Patrícia Martins e Souza1, Bruno Lobo Brandão, Eduardo Brown, Geraldo Motta, Martim Monteiro, Edson Marchiori.   

Abstract

OBJECTIVE: To investigate the accuracy of conventional magnetic resonance imaging (MRI) in determining the severity of glenoid bone loss in patients with anterior shoulder dislocation by comparing the results with arthroscopic measurements. SUBJECTS AND METHODS: Institutional review board approval and written consent from all patients were obtained. Thirty-six consecutive patients (29 men, seven women; mean age, 34.5 [range, 18-55] years) with recurrent anterior shoulder dislocation (≥3 dislocations; mean, 37.9; range, 3-200) and suspected glenoid bone loss underwent shoulder MRI before arthroscopy (mean interval, 28.5 [range, 9-73] days). Assessments of glenoid bone loss by MRI (using the best-fit circle area method) and arthroscopy were compared. Inter- and intrareader reproducibility of MRI-derived measurements was evaluated using arthroscopy as a comparative standard.
RESULTS: Glenoid bone loss was evident on MRI and during arthroscopy in all patients. Inter- and intrareader correlations of MRI-derived measurements were excellent (intraclass correlation coefficient = 0.80-0.82; r = 0.81-0.86). The first and second observers' measurements showed strong (r = 0.76) and moderate (r = 0.69) interreader correlation, respectively, with arthroscopic measurements.
CONCLUSIONS: Conventional MRI can be used to measure glenoid bone loss, particularly when employed by an experienced musculoskeletal radiologist.

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Year:  2014        PMID: 24805966     DOI: 10.1007/s00256-014-1894-6

Source DB:  PubMed          Journal:  Skeletal Radiol        ISSN: 0364-2348            Impact factor:   2.199


  32 in total

1.  About the variability of the shape of the glenoid cavity.

Authors:  L F De Wilde; B M Berghs; E Audenaert; G Sys; G O Van Maele; E Barbaix
Journal:  Surg Radiol Anat       Date:  2003-09-19       Impact factor: 1.246

2.  Quantification of a glenoid defect with three-dimensional computed tomography and magnetic resonance imaging: a cadaveric study.

Authors:  Pol E Huijsmans; Pieter S Haen; Martin Kidd; Wouter J Dhert; Victor P M van der Hulst; W Jaap Willems
Journal:  J Shoulder Elbow Surg       Date:  2007 Nov-Dec       Impact factor: 3.019

3.  A simple method for quantitative evaluation of the missing area of the anterior glenoid in anterior instability of the glenohumeral joint.

Authors:  Vidal S Barchilon; Eugene Kotz; Mercedes Barchilon Ben-Av; Ernesto Glazer; Meir Nyska
Journal:  Skeletal Radiol       Date:  2008-06-04       Impact factor: 2.199

Review 4.  Multidetector spiral CT arthrography of the shoulder. Clinical applications and limits, with MR arthrography and arthroscopic correlations.

Authors:  Frédéric E Lecouvet; Paolo Simoni; Sophie Koutaïssoff; Bruno C Vande Berg; Jacques Malghem; Jean-Emile Dubuc
Journal:  Eur J Radiol       Date:  2008-04-08       Impact factor: 3.528

5.  Quantifying glenoid bone loss arthroscopically in shoulder instability.

Authors:  Stephen S Burkhart; Joe F Debeer; Armin M Tehrany; Peter M Parten
Journal:  Arthroscopy       Date:  2002 May-Jun       Impact factor: 4.772

6.  Recurrent anterior shoulder instability: accuracy of estimations of glenoid bone loss with computed tomography is insufficient for therapeutic decision-making.

Authors:  Polydoor Emile Huijsmans; Pieter Bas de Witte; Richard V P de Villiers; Derk Willem Wolterbeek; Piet Warmerdam; Niel Ruben Kruger; Joe F de Beer
Journal:  Skeletal Radiol       Date:  2011-05-21       Impact factor: 2.199

7.  Anterior shoulder dislocation: quantification of glenoid bone loss with CT.

Authors:  James F Griffith; Gregory E Antonio; Christopher W C Tong; Chan Kai Ming
Journal:  AJR Am J Roentgenol       Date:  2003-05       Impact factor: 3.959

8.  Glenoid bone lesions: comparison between 3D VIBE images in MR arthrography and nonarthrographic MSCT.

Authors:  Chun-Yan Tian; Yao Shang; Zhuo-Zhao Zheng
Journal:  J Magn Reson Imaging       Date:  2012-02-22       Impact factor: 4.813

9.  Measurement of glenoid bone loss: a comparison of measurement error between 45 degrees and 0 degrees bone loss models and with different posterior arthroscopy portal locations.

Authors:  Matthew T Provencher; Alvin J Detterline; Neil Ghodadra; Anthony A Romeo; Bernard R Bach; Brian J Cole; Nikhil Verma
Journal:  Am J Sports Med       Date:  2008-03-19       Impact factor: 6.202

10.  Glenoid rim morphology in recurrent anterior glenohumeral instability.

Authors:  Hiroyuki Sugaya; Joji Moriishi; Michiko Dohi; Yoshiaki Kon; Akihiro Tsuchiya
Journal:  J Bone Joint Surg Am       Date:  2003-05       Impact factor: 5.284

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  5 in total

1.  Inter-observer agreement of CT measurement of the glenoid bone surface by the CT Pico method: Comparison with laser in a cadaveric model.

Authors:  Massimo De Filippo; Luca Saba; Giulio Negrini; Mario Silva; Giuseppe Pedrazzi; Francesco Pogliacomi; Alessandro Castagna
Journal:  Skeletal Radiol       Date:  2015-07-01       Impact factor: 2.199

2.  Arthroscopic treatment of glenoid bone loss.

Authors:  Ettore Taverna; Guido Garavaglia; Henri Ufenast; Riccardo D'Ambrosi
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2015-12-12       Impact factor: 4.342

3.  Mean Glenoid Defect Size and Location Associated With Anterior Shoulder Instability: A Systematic Review.

Authors:  Lionel J Gottschalk; Aaron J Bois; Marcus A Shelby; Anthony Miniaci; Morgan H Jones
Journal:  Orthop J Sports Med       Date:  2017-01-05

Review 4.  The Bony Bankart Lesion: How to Measure the Glenoid Bone Loss.

Authors:  Jarosław Skupiński; Małgorzata Zofia Piechota; Wojciech Wawrzynek; Jarosław Maczuch; Anna Babińska
Journal:  Pol J Radiol       Date:  2017-02-04

5.  Designing and validating a comparison card method for quantification of glenoid bone defect.

Authors:  Liang Chen; Yichong Zhang; Yufeng Wu; Jingyang Chen; Zexin Hong; Jiabao Ju; Jianhai Chen; Dawei Gao
Journal:  Sci Rep       Date:  2022-10-06       Impact factor: 4.996

  5 in total

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