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      Use of Patient-Specific Instrumentation (PSI) for glenoid component positioning in shoulder arthroplasty. A systematic review and meta-analysis

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          Abstract

          Introduction

          Total Shoulder Arthroplasty (TSA) anatomical, reverse or both is an increasingly popular procedure but the glenoid component is still a weak element, accounting for 30–50% of mechanical complications and contributing to the revision burden. Component mal-positioning is one of the main aetiological factors in glenoid failure and thus Patient-Specific Instrumentation (PSI) has been introduced in an effort to optimise implant placement. The aim of this systematic literature review and meta-analysis is to compare the success of PSI and Standard Instrumentation (STDI) methods in reproducing pre-operative surgical planning of glenoid component positioning.

          Material and methods

          A search (restricted to English language) was conducted in November 2017 on MEDLINE, the Cochrane Library, EMBASE and ClinicalTrials.gov. Using the search terms “Patient-Specific Instrumentation (PSI)”, “custom guide”, “shoulder”, “glenoid” and “arthroplasty”, 42 studies were identified. The main exclusion criteria were: no CT-scan analysis results; studies done on plastic bone; and use of a reusable or generic guide. Eligible studies evaluated final deviations from the planning for version, inclination, entry point and rotation. Reviewers worked independently to extract data and assess the risk of bias on the same studies.

          Results

          The final analysis included 12 studies, comprising 227 participants (seven studies on 103 humans and five studies on 124 cadaveric specimens). Heterogeneity was moderate or high for all parameters. Deviations from the pre-operative planning for version (p<0.01), inclination (p<0.01) and entry point (p = 0.02) were significantly lower with the PSI than with the STDI, but not for rotation (p = 0.49). Accuracy (deviation from planning) with PSI was about 1.88° to 4.96°, depending on the parameter. The number of component outliers (>10° of deviation or 4mm) were significantly higher with STDI than with PSI (68.6% vs 15.3% (p = 0.01)).

          Conclusion

          This review supports the idea that PSI enhances glenoid component positioning, especially a decrease in the number of outliers. However, the findings are not definitive and further validation is required. It should be noted that no randomised clinical studies are available to confirm long-term outcomes.

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          Most cited references47

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            Increasing incidence of shoulder arthroplasty in the United States.

            The number of total shoulder arthroplasties performed in the United States increased slightly between 1990 and 2000. However, the incidence of shoulder arthroplasty in recent years has not been well described. The purpose of the present study was to examine recent trends in shoulder hemiarthroplasty and total shoulder arthroplasty along with the common reasons for these surgical procedures in the United States. We modeled the incidence of shoulder arthroplasty from 1993 to 2008 with use of the Nationwide Inpatient Sample. On the basis of hemiarthroplasty and total shoulder arthroplasty cases that were identified with use of surgical procedure codes, we conducted a design-based analysis to calculate national estimates. While the annual number of hemiarthroplasties grew steadily, the number of total shoulder arthroplasties showed a discontinuous jump (p < 0.01) in 2004 and increased with a steeper linear slope (p < 0.01) since then. As a result, more total shoulder arthroplasties than hemiarthroplasties have been performed annually since 2006. Approximately 27,000 total shoulder arthroplasties and 20,000 hemiarthroplasties were performed in 2008. More than two-thirds of total shoulder arthroplasties were performed in adults with an age of sixty-five years or more. Osteoarthritis was the primary diagnosis for 43% of hemiarthroplasties and 77% of total shoulder arthroplasties in 2008, with fracture of the humerus as the next most common primary diagnosis leading to hemiarthroplasty. The number of shoulder arthroplasties, particularly total shoulder arthroplasties, is growing faster than ever. The use of reverse total arthroplasty, which was approved by the United States Food and Drug Administration in November 2003, may be part of the reason for the greater increase in the number of total shoulder arthroplasties. A long-term follow-up study is warranted to evaluate total shoulder arthroplasty in terms of patient outcomes, safety, and implant longevity.
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              The use of computerized tomography in the measurement of glenoid version.

              Computerized tomography was done preoperatively on twenty shoulders (thirteen patients) in which there were severe arthritic changes, to measure glenoid version. Ten of the twenty shoulders had osteoarthrosis; eight, rheumatoid arthritis; and two, gouty arthritis. To help determine normal values, computerized tomographic scans of the chest of sixty-three patients who did not have roentgenographic evidence of disease of the shoulder were studied retrospectively for comparison as a control group. In the group of patients who had severe arthritis, the mean glenoid orientation was 11 degrees of retroversion (range, 2 degrees of anteversion to 32 degrees of retroversion). The computerized tomographic scans showed uneven wear of the glenoid surface, osteophytes, large cysts, and posterior displacement of the humeral head. In the control group, the mean orientation of the glenoid was 2 degrees of anteversion (range, 14 degrees of anteversion to 12 degrees of retroversion). The difference between the groups was significant (p less than 0.0001). Glenoid retroversion was increased in the patients who had severe arthritis, and the computerized tomographic scans accurately revealed the extent and pattern of erosion of the bone.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: SupervisionRole: VisualizationRole: Writing – original draft
                Role: Data curationRole: InvestigationRole: Writing – original draft
                Role: Formal analysisRole: MethodologyRole: Writing – original draft
                Role: Formal analysisRole: Methodology
                Role: Writing – review & editing
                Role: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                22 August 2018
                2018
                : 13
                : 8
                : e0201759
                Affiliations
                [1 ] Service d'Orthopédie-Traumatologie, Hôpital Gabriel Montpied, Clermont Ferrand, France
                [2 ] Université Clermont Auvergne, SIGMA Clermont CNRS, UMR 6296, Clermont-Ferrand, France
                [3 ] DRCI, CHU de Clermont Ferrand, Clermont Ferrand, France
                [4 ] Bioengineering Department, Imperial College, London, United Kingdom
                [5 ] Division of Surgery, Imperial College, London, United Kingdom
                University of Memphis, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-4322-6304
                Article
                PONE-D-18-07126
                10.1371/journal.pone.0201759
                6104947
                30133482
                857f47da-77ad-4c6f-8bd4-dbf898bf1845
                © 2018 Villatte et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 7 March 2018
                : 20 July 2018
                Page count
                Figures: 13, Tables: 2, Pages: 17
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                Biology and Life Sciences
                Anatomy
                Musculoskeletal System
                Shoulders
                Medicine and Health Sciences
                Anatomy
                Musculoskeletal System
                Shoulders
                Engineering and Technology
                Instrumentation
                People and Places
                Population Groupings
                Professions
                Medical Personnel
                Medical Doctors
                Surgeons
                Medicine and Health Sciences
                Health Care
                Health Care Providers
                Medical Doctors
                Surgeons
                People and Places
                Population Groupings
                Professions
                Medical Personnel
                Medical Doctors
                Physicians
                Surgeons
                Medicine and Health Sciences
                Health Care
                Health Care Providers
                Medical Doctors
                Physicians
                Surgeons
                Medicine and Health Sciences
                Surgical and Invasive Medical Procedures
                Musculoskeletal System Procedures
                Arthroplasty
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Meta-Analysis
                Physical Sciences
                Mathematics
                Statistics (Mathematics)
                Statistical Methods
                Meta-Analysis
                Research and Analysis Methods
                Database and Informatics Methods
                Database Searching
                Medicine and Health Sciences
                Surgical and Invasive Medical Procedures
                Research and Analysis Methods
                Imaging Techniques
                Neuroimaging
                Computed Axial Tomography
                Biology and Life Sciences
                Neuroscience
                Neuroimaging
                Computed Axial Tomography
                Medicine and Health Sciences
                Diagnostic Medicine
                Diagnostic Radiology
                Tomography
                Computed Axial Tomography
                Research and Analysis Methods
                Imaging Techniques
                Diagnostic Radiology
                Tomography
                Computed Axial Tomography
                Medicine and Health Sciences
                Radiology and Imaging
                Diagnostic Radiology
                Tomography
                Computed Axial Tomography
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                All relevant data are within the paper and its Supporting Information files.

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