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Does radiolucency really predict loose components in revision shoulder arthroplasty?

Authors :
Streck, Laura E.
Gaal, Chiara
Gohlke, Frank
Rudert, Maximilian
List, Kilian
Source :
Skeletal Radiology. Sep2023, Vol. 52 Issue 9, p1759-1765. 7p.
Publication Year :
2023

Abstract

Objective: The number of shoulder arthroplasties is increasing along with the need for revision surgeries. Determining the stability of the implant is crucial in preoperative planning. This study aims to investigate whether radiolucent lines (RLL) in preoperative radiographs predict component loosening. Materials and methods: Preoperative radiographs of 93 cases in 88 patients who underwent shoulder arthroplasty revision were evaluated regarding the presence of RLL. Correlation analyses were performed for radiographic findings and demographic factors (age, gender, BMI, prior surgeries) compared to intraoperative findings. Results: The presence of RLL around the humeral component correlated with loosening (p < 0.001, Phi 0.511), and the distal zones 3 and 5 showed the strongest correlation (Phi 0.536). While RLL in only one zone did not predict loosening (p = 0.337), RLL present in two or more zones showed correlation with loosening (p < 0.001). Risk factors associated with loosening were a higher age at the time of revision surgery (p = 0.030) and the number of zones with RLL (p < 0.001). The glenoid component was loose in 39.0% of the cases; 5.5% of the glenoid components with RLL were stable. Nevertheless, the presence of RLL was highly associated with loosening (p < 0.001, Phi 0.603). A longer time between implantation and revision correlated with loosening of the glenoid component (p = 0.046). Conclusion: While RLL do not predict loosening of the implant in general, occurrence in more than one zone correlates with loosening. If located in distal zones and with increasing number of zones with RLL, the correlation becomes even stronger and loosening is more likely. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03642348
Volume :
52
Issue :
9
Database :
Academic Search Index
Journal :
Skeletal Radiology
Publication Type :
Academic Journal
Accession number :
164948029
Full Text :
https://doi.org/10.1007/s00256-023-04330-7