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Currently used imaging options cannot accurately predict subtalar joint instability
Purpose To give a systematic overview of current diagnostic imaging options and surgical treatment for chronic subtalar joint instability. Methods A systematic literature search across the following sources was performed: PubMed, ScienceDirect, and SpringerLink. Twenty-three imaging studies and 19 o...
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Published in: | Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA sports traumatology, arthroscopy : official journal of the ESSKA, 2019-09, Vol.27 (9), p.2818-2830 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Purpose
To give a systematic overview of current diagnostic imaging options and surgical treatment for chronic subtalar joint instability.
Methods
A systematic literature search across the following sources was performed: PubMed, ScienceDirect, and SpringerLink. Twenty-three imaging studies and 19 outcome studies were included. The Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS 2) tool was used to assess the methodologic quality of the imaging articles, while the modified Coleman Score was used to assess the methodologic quality of the outcome studies.
Results
Conventional radiographs were most frequently used to assess chronic subtalar joint instability. Talar tilt, anterior talar translation, and subtalar tilt were the three most commonly used measurement methods. Surgery often included calcaneofibular ligament reconstruction.
Conclusion
Current imaging options do not reliably predict subtalar joint instability. Distinction between chronic lateral ankle instability and subtalar joint instability remains challenging. Recognition of subtalar joint instability as an identifiable and treatable cause of ankle pain requires vigilant clinical investigation.
Level of evidence
Systematic Review of Level III and Level IV Studies, Level IV. |
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ISSN: | 0942-2056 1433-7347 |
DOI: | 10.1007/s00167-018-5232-8 |