Literature DB >> 24692620

Measurements of three-dimensional glenoid erosion when planning the prosthetic replacement of osteoarthritic shoulders.

A Terrier1, J Ston, X Larrea, A Farron.   

Abstract

The three-dimensional (3D) correction of glenoid erosion is critical to the long-term success of total shoulder replacement (TSR). In order to characterise the 3D morphology of eroded glenoid surfaces, we looked for a set of morphological parameters useful for TSR planning. We defined a scapular coordinates system based on non-eroded bony landmarks. The maximum glenoid version was measured and specified in 3D by its orientation angle. Medialisation was considered relative to the spino-glenoid notch. We analysed regular CT scans of 19 normal (N) and 86 osteoarthritic (OA) scapulae. When the maximum version of OA shoulders was higher than 10°, the orientation was not only posterior, but extended in postero-superior (35%), postero-inferior (6%) and anterior sectors (4%). The medialisation of the glenoid was higher in OA than normal shoulders. The orientation angle of maximum version appeared as a critical parameter to specify the glenoid shape in 3D. It will be very useful in planning the best position for the glenoid in TSR.

Keywords:  3D reconstruction; CT scan; Glenoid erosion; Glenoid morphology; Osteoarthritis; Total shoulder arthroplasty

Mesh:

Year:  2014        PMID: 24692620     DOI: 10.1302/0301-620X.96B4.32641

Source DB:  PubMed          Journal:  Bone Joint J        ISSN: 2049-4394            Impact factor:   5.082


  10 in total

1.  The arthritic glenoid: anatomy and arthroplasty designs.

Authors:  Nikolas K Knowles; Louis M Ferreira; George S Athwal
Journal:  Curr Rev Musculoskelet Med       Date:  2016-03

Review 2.  [Magnetic resonance imaging and computed tomography : What is important in orthopedics and traumatology].

Authors:  F Mauch; B Drews
Journal:  Unfallchirurg       Date:  2016-10       Impact factor: 1.000

3.  Quantitative assessment and characterization of glenoid bone loss in a spectrum of patients with glenohumeral osteoarthritis.

Authors:  D J Lombardo; J Khan; B Prey; L Zhang; G R Petersen-Fitts; V J Sabesan
Journal:  Musculoskelet Surg       Date:  2016-06-03

4.  The fulcrum axis: an accurate measure of glenoid version on radiographs and computed tomography.

Authors:  Jennifer Mutch; Martin Sidler; Claudia Sidler-Maier; Terry Axelrod; Diane Nam
Journal:  Shoulder Elbow       Date:  2017-08-30

5.  Automated three-dimensional measurements of version, inclination, and subluxation.

Authors:  Dave R Shukla; Richard J McLaughlin; Julia Lee; Ngoc Tram V Nguyen; Joaquin Sanchez-Sotelo
Journal:  Shoulder Elbow       Date:  2019-02-05

6.  Is preoperative glenoid bone mineral density associated with aseptic glenoid implant loosening in anatomic total shoulder arthroplasty?

Authors:  Sandrine Mariaux; Raphaël Obrist; Alain Farron; Fabio Becce; Alexandre Terrier
Journal:  BMC Musculoskelet Disord       Date:  2021-01-08       Impact factor: 2.362

7.  A Matlab toolbox for scaled-generic modeling of shoulder and elbow.

Authors:  Ehsan Sarshari; Yasmine Boulanaache; Alexandre Terrier; Alain Farron; Philippe Mullhaupt; Dominique Pioletti
Journal:  Sci Rep       Date:  2021-10-21       Impact factor: 4.379

8.  A 3-Dimensional Classification for Degenerative Glenohumeral Arthritis Based on Humeroscapular Alignment.

Authors:  Benjamin D Kleim; Maximillian Hinz; Stephanie Geyer; Bastian Scheiderer; Andreas B Imhoff; Sebastian Siebenlist
Journal:  Orthop J Sports Med       Date:  2022-08-11

9.  Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets.

Authors:  Elham Taghizadeh; Oskar Truffer; Fabio Becce; Sylvain Eminian; Stacey Gidoin; Alexandre Terrier; Alain Farron; Philippe Büchler
Journal:  Eur Radiol       Date:  2020-07-22       Impact factor: 5.315

10.  Association of the Posterior Acromion Extension with Glenoid Retroversion: A CT Study in Normal and Osteoarthritic Shoulders.

Authors:  Alexandre Terrier; Fabio Becce; Frédéric Vauclair; Alain Farron; Patrick Goetti
Journal:  J Clin Med       Date:  2022-01-12       Impact factor: 4.241

  10 in total

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