Literature DB >> 23329661

Glenoid bone loss: assessment with MR imaging.

Ryan K L Lee1, James F Griffith, Mabel M P Tong, Nimish Sharma, Patrick Yung.   

Abstract

PURPOSE: To investigate the agreement among magnetic resonance (MR) imaging, computed tomography (CT), and arthroscopy in the measurement of glenoid bone loss.
MATERIALS AND METHODS: This study was approved by the institutional ethics committee. One hundred seventy-six patients (158 male and 18 female patients; mean age, 26.8 years ± 12.3) with anterior shoulder dislocation underwent both shoulder MR imaging and CT examination. Anterior straight line length, glenoid width, and best-fit bone loss were measured with MR imaging and CT. Sixty-five patients also underwent arthroscopy, which was used as the standard of reference. Assessment of glenoid bone loss at MR imaging was compared with that at CT and arthroscopy. Inter- and intrareader reproducibility of MR imaging-derived measurements of glenoid bone loss was evaluated.
RESULTS: There was excellent correlation between CT and MR imaging with regard to anterior straight line length (r = 0.97, P < .0001), glenoid width (r = 0.95, P < .0001), and severity of glenoid bone loss-particularly with use of best-fit circle width (r = 0.83, P < .0001) rather than best-fit circle area (r = 0.82, P < .0001). In the assessment of glenoid bone loss, the correlation between CT and arthroscopy (r = 0.91, P < .0001) was marginally better than that between MR imaging and arthroscopy (r = 0.84, P < .0001). The inter- and intrareader correlations of MR imaging-derived measurements of glenoid bone loss were excellent (R = 0.90-0.95).
CONCLUSION: MR imaging assessment of glenoid bone loss, particularly with use of glenoid width, is almost as accurate as CT assessment. © RSNA, 2013.

Entities:  

Mesh:

Year:  2013        PMID: 23329661     DOI: 10.1148/radiol.12121681

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  24 in total

1.  Techniques to evaluate glenoid bone loss.

Authors:  Hiroyuki Sugaya
Journal:  Curr Rev Musculoskelet Med       Date:  2014-03

2.  The quantification of glenoid bone loss in anterior shoulder instability; MR-arthro compared to 3D-CT.

Authors:  Jeroen E Markenstein; Kjell C C J Jaspars; Victor P M van der Hulst; W Jaap Willems
Journal:  Skeletal Radiol       Date:  2014-01-18       Impact factor: 2.199

3.  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

4.  Use of 3D MR reconstructions in the evaluation of glenoid bone loss: a clinical study.

Authors:  Soterios Gyftopoulos; Luis S Beltran; Avner Yemin; Eric Strauss; Robert Meislin; Laith Jazrawi; Michael P Recht
Journal:  Skeletal Radiol       Date:  2013-12-07       Impact factor: 2.199

5.  MRI Allows Accurate Measurement of Glenoid Bone Loss.

Authors:  Mirco Sgroi; Hashuka Huzurudin; Marius Ludwig; Timo Zippelius; Heiko Reichel; Thomas Kappe
Journal:  Clin Orthop Relat Res       Date:  2022-04-22       Impact factor: 4.755

6.  Feasibility of using an inversion-recovery ultrashort echo time (UTE) sequence for quantification of glenoid bone loss.

Authors:  Ya-Jun Ma; Justin West; Amin Nazaran; Xin Cheng; Heinz Hoenecke; Jiang Du; Eric Y Chang
Journal:  Skeletal Radiol       Date:  2018-02-02       Impact factor: 2.199

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

Authors:  Patrícia Martins e Souza; Bruno Lobo Brandão; Eduardo Brown; Geraldo Motta; Martim Monteiro; Edson Marchiori
Journal:  Skeletal Radiol       Date:  2014-05-08       Impact factor: 2.199

8.  Radiographic sclerotic contour loss in the identification of glenoid bone loss.

Authors:  Troy D Bornes; Jacob L Jaremko; Lauren A Beaupre; Martin J Bouliane
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2014-09-24       Impact factor: 4.342

Review 9.  Radiographic Evaluation of Patients with Anterior Shoulder Instability.

Authors:  Andrew J Kompel; Xinning Li; Ali Guermazi; Akira M Murakami
Journal:  Curr Rev Musculoskelet Med       Date:  2017-12

10.  CT-like images based on T1 spoiled gradient-echo and ultra-short echo time MRI sequences for the assessment of vertebral fractures and degenerative bone changes of the spine.

Authors:  Benedikt J Schwaiger; Charlotte Schneider; Sophia Kronthaler; Florian T Gassert; Christof Böhm; Daniela Pfeiffer; Thomas Baum; Jan S Kirschke; Dimitrios C Karampinos; Marcus R Makowski; Klaus Woertler; Markus Wurm; Alexandra S Gersing
Journal:  Eur Radiol       Date:  2021-01-14       Impact factor: 5.315

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