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Updated: Apr 21, 2026

Reverse Total Shoulder Arthroplasty
Published on: July 5, 2011
Navigation in reverse total shoulder arthroplasty: a retrospective study
Randall A Arroyo1,2, Sierra J Casper3, Christopher D Joyce1
1University of Utah, Department of Orthopaedic Surgery, Salt Lake City, UT, USA.
Background:
The purpose of this study was to evaluate radiographic accuracy and assess the learning curve associated with a single surgeon's transition from non-navigated to navigated reverse total shoulder arthroplasty (rTSA).
Methods:
This was a retrospective clinical study that included 166 consecutive rTSA cases performed by a single surgeon, with 84 non-navigated cases immediately followed by 82 navigated rTSA using computer-assisted navigation. Radiographic measurements included pre- and post-operative β-angle (inclination), inferior glenosphere offset, and the distance from the center of rotation of the glenosphere to the tip of the coracoid (COR-C). For all radiographic measurements, intrarater reliability was compared using intraclass correlation coefficients. Statistical comparisons were performed using t-tests, Mann-Whitney U, and Fisher-Freeman-Halton tests.
Results:
All radiographic measurements had excellent reliability with intraclass correlation coefficients of >0.799. Inferior offset was significantly greater in the navigated group (7.0 ± 2.5 mm) than in the non-navigated group (5.4 ± 3.1 mm; P = .001). No differences were found in post-operative inclination or COR-C distance. Operative time was significantly higher with navigation (141 ± 23.5 min vs. 136 ± 30.8 min; P = .031). Early dislocations occurred in 4.7% of non-navigated cases and in 0% of navigated cases (P = .045).
Conclusion:
This retrospective single-surgeon study illustrates that transition to computer-assisted navigation in rTSA may modestly increase operative time while improving implant positioning including inferior glenoid offset. No early postoperative dislocations were observed in the navigated group, though definitive conclusions are limited by short follow-up and limited sample size. This study demonstrates an association between the role of computer-assisted navigation in improving implant accuracy, but further studies are needed to determine its clinical relevance.
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