Defining normal enthesis stiffness range in a healthy adult population
- 26 December 2024
- journal article
- research article
- Published by Oxford University Press (OUP) in British Journal of Radiology
- Vol. 98 (1167) , 469-474
Abstract
Objectives: This study explores the correlation between volunteer demographics with enthesis stiffness and intra- and interobserver agreements using shear wave elastography (SWE). Methods: Ninety-eight healthy volunteers were recruited. SWE was performed on quadriceps, suprapatellar, infrapatellar, and Achilles entheses. The stiffness measurements were measured in shear wave velocity (SWV). Results: Mann-Whitney test revealed insignificant difference in SWV among gender. Wilcoxon signed-rank test showed significant difference in SWV between left and right Achilles entheses. Spearman correlation test revealed moderate negative correlation between SWV and age group in quadriceps (ρ, −0.45, P < .01), and weak negative correlation in suprapatellar (ρ, −0.31, P < .01), and left Achilles (ρ, −0.29, P < .01). Multiple linear regression analysis showed subjects’ demographic significantly predicted quadriceps, suprapatellar, and left Achilles entheses stiffness with only age statistically significantly to the prediction (P < .05). Kruskal-Wallis showed significant differences in SWV for quadriceps (P = .01), suprapatellar (P = .03), and left Achilles (P = .01) among different age groups. Good interobserver [0.79-0.86 (95% CI, 0.32-0.94)] and interobserver agreement [0.78-0.89 (95% CI, 0.62-0.95)] were found in all the entheses. Conclusion: SWE emerges as a reproducible method for entheses stiffness quantification, with the study highlighting age as a significant factor impacting SWV in quadriceps, suprapatellar, and left Achilles entheses. Among the studied entheses, SWV for Achilles enthesis is the highest in all age groups. Advances in knowledge: The study significantly contributes to the understanding of enthesis stiffness by exploring the influence of gender, BMI, and age.Keywords
Funding Information
- Universiti Teknologi MARA Selangor
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