Please use this identifier to cite or link to this item: http://docs.prosentient.com.au/prosentientjspui/handle/1/10497
Title: Arthroscopic Anatomic Glenoid Reconstruction: Analysis of the Learning Curve.
Authors: Moga, Iustin
Konstantinidis, George
Coady, Catherine
Ghosh, Swagata
Wong, Ivan Ho-Bun
Affiliation: Department of Orthopaedic Surgery, Nova Scotia Health Authority, Halifax, Nova Scotia, Canada..
Royal Darwin Hospital, Tiwi, Australia..
Dalhousie University, Halifax, Nova Scotia, Canada..
Department of Orthopaedic Surgery, Nova Scotia Health Authority, Halifax, Nova Scotia, Canada..
Dalhousie University, Halifax, Nova Scotia, Canada..
Issue Date: Nov-2018
Citation: Orthopaedic journal of sports medicine 2018-11; 6(11): 2325967118807906
Abstract: Anatomic glenoid reconstruction involves the use of distal tibial allograft for bony augmentation of the glenoid surface. An all-arthroscopic approach was recently described to avoid damage to the subscapularis tendon and preserve the capsule and labrum. To explore and compare change in surgical time between 2 proposed methods used for the treatment of anterior shoulder instability-arthroscopic anatomic glenoid reconstruction (AAGR) and arthroscopic Latarjet (AL)-over successive procedures. We also compared graft positioning on the anterior glenoid surface between the 2 methods. Cohort study; Level of evidence, 3. This was a single-surgeon retrospective review of 54 cases of surgically treated recurrent anterior shoulder instability: 27 had AAGR with distal tibial allograft, while the other 27 had AL. AAGR with the distal tibial allograft was the primary choice for the treatment of anterior shoulder instability; however, AL was performed when tibial allograft was not available from the bone bank. Thus, there was an overlapping period for those 2 procedures. Procedure start and end times were recorded, and duration was calculated. Postoperative 3-dimensional computed tomography scans were reviewed, and graft position was judged to be in the lower third (desired position), middle third, or upper third of the anterior glenoid surface. To assess learning, these data were organized in chronological order of surgery, and each surgical cohort was divided into 3 chronological clusters of 9 patients each. Learning was assessed through change in operative time over successive clusters, change in variability of operative time among clusters, and change in graft positioning among clusters. Statistical analysis comprised a 2-tailed independent-sample t test and the Levene test for equality of variance. Our study found that AAGR was significantly faster to perform than AL in the early (P = .001), middle (P = .001), and late (P = .05) clusters of each cohort. Duration of surgery did not significantly improve across clusters within each cohort (P = .15-.79). There were no significant changes in the variability of surgical time in the AAGR group (P = .09) or the AL group (P = .13). Desired positioning of the bone graft on the anterior glenoid surface (lower third) was identified more commonly in the AAGR cohort. AAGR is faster to learn and perform than AL for the treatment of recurrent anterior shoulder instability with significant glenoid bone loss. The current study found higher rates of desired graft positioning for AAGR clusters.
URI: http://docs.prosentient.com.au/prosentientjspui/handle/1/10497
DOI: 10.1177/2325967118807906
ISSN: 2325-9671
Type: Journal Article
Subjects: anatomic glenoid reconstruction
arthroscopy
latarjet
learning curve
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