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DOI: 10.1055/a-2662-1374
Can Hyaluronic Acid Reduce Friction in the First Extensor Compartment? A Cadaveric Study
Authors
Funding This work was supported by the NSERC Discovery Grant Program; the Western University Department of Surgery Internal Research Fund; the Western University Bone and Joint Institute Catalyst Grant; and the Academic Medical Organization of Southwest Ontario (AMOSO) opportunity grant.

Abstract
Objective
De Quervain's tenosynovitis (DQT), marked by pain and dysfunction from thickening of the first dorsal compartment, traditionally relies on treatments like corticosteroid injections, physiotherapy, braces, and surgery. This study explores hyaluronic acid (HA), recognized for its lubricating properties, as a nonsurgical alternative to improve tendon gliding at the tendon–retinaculum interface.
Study Design
Biomechanical cadaveric study.
Materials and Methods
Eighteen cadaveric specimens of the first extensor tendon compartment were soaked in saline. Half were treated with HA and half with celestone soluspan. Friction between the abductor pollicis longus (APL) and extensor pollicis brevis (EPB) tendons against the extensor retinaculum was measured at wrist–thumb angles of 30 to 20 degrees and 30 to 0 degrees.
Results
HA significantly reduced friction by 18.7% compared with saline, with the greatest reduction observed in the EPB at the 30 to 20-degree angle.
Conclusion
These findings indicate that HA may offer a promising nonsurgical treatment for DQT and support further clinical trials.
Level of Evidence III.
Keywords
friction testing - gliding resistance - hyaluronic acid - De Quervain's tenosynovitis - corticosteroid - biomechanical - extensor tendons - hand surgeryAuthors' Contributions
G.R.: Initiated the study, data collection, data analysis, and writing of the manuscript.
E.B.: Established the mechanical model, data collection, and data analysis.
D.L.: Establishment of the mechanical model and data analysis.
A.K.: Initiated the study, established the mechanical model, reviewed, and provided guidance.
M.C.: Statistical analysis.
Publication History
Received: 25 November 2024
Accepted: 21 July 2025
Article published online:
12 August 2025
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