Literature DB >> 30596527

Polyethylene glenoid component fixation geometry influences stability in total shoulder arthroplasty.

Nikolas K Knowles1,2,3, G Daniel G Langohr1,2,3,4, George S Athwal2,3, Louis M Ferreira1,2,3,4.   

Abstract

Glenoid component stability is essential to ensure successful long-term survivability following total shoulder arthroplasty. As such, this computational study assessed the stability of five all-polyethylene glenoid components (Keel, Central-Finned 4-Peg, Peripheral 4-Peg, Cross-Keel, and Inverted-Y), using simulated joint loading in an osteoarthritic patient cohort. Stability was assessed on the basis of component micromotion in the tangential and normal directions. Maximum tangential micromotion occurred in the Cross-Keel (146 ± 46 µm), which was significantly greater (p < .001) than the other components. Maximum normal micromotion occurred in the Inverted-Y (109 ± 43 µm), which was significantly greater (p ≤ .002) than the other four components. In general, the Central-Finned 4-Peg exhibited the least normal and tangential micromotion, while the keeled components shown the highest normal and tangential micromotion. This study suggests that modifications to keeled designs do not improve component stability under the conditions tested, and pegged components show superior computational stability.

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Keywords:  Shoulder arthroplasty; finite-element analysis; glenoid; osteoarthritis; polyethylene component

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Year:  2018        PMID: 30596527     DOI: 10.1080/10255842.2018.1551526

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  2 in total

1.  Material Mapping of QCT-Derived Scapular Models: A Comparison with Micro-CT Loaded Specimens Using Digital Volume Correlation.

Authors:  Nikolas K Knowles; Jonathan Kusins; Mohammadreza Faieghi; Melissa Ryan; Enrico Dall'Ara; Louis M Ferreira
Journal:  Ann Biomed Eng       Date:  2019-07-11       Impact factor: 3.934

2.  The Application of Digital Volume Correlation (DVC) to Evaluate Strain Predictions Generated by Finite Element Models of the Osteoarthritic Humeral Head.

Authors:  Jonathan Kusins; Nikolas Knowles; Melanie Columbus; Sara Oliviero; Enrico Dall'Ara; George S Athwal; Louis M Ferreira
Journal:  Ann Biomed Eng       Date:  2020-06-22       Impact factor: 3.934

  2 in total

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