Key Laboratory of the Ministry of Education for Biomechanics and Mechanobiology, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
BMC Musculoskelet Disord. 2012 Mar 10;13:34. doi: 10.1186/1471-2474-13-34.
Early diagnosis of osteoarthritis (OA) is essential for preventing further cartilage destruction and decreasing severe complications. The aims of this study are to explore the relationship between OA pathological grades and quantitative acoustic parameters and to provide more objective criteria for ultrasonic microscopic evaluation of the OA cartilage.
Articular cartilage samples were prepared from rabbit knees and scanned using ultrasound biomicroscopy (UBM). Three quantitative parameters, including the roughness index of the cartilage surface (URI), the reflection coefficients from the cartilage surface (R) and from the cartilage-bone interface (Rbone) were extracted. The osteoarthritis grades of these cartilage samples were qualitatively assessed by histology according to the grading standards of International Osteoarthritis Institute (OARSI). The relationship between these quantitative parameters and the osteoarthritis grades was explored.
The results showed that URI increased with the OA grade. URI of the normal cartilage samples was significantly lower than the one of the OA cartilage samples. There was no significant difference in URI between the grade 1 cartilage samples and the grade 2 cartilage samples. The reflection coefficient of the cartilage surface reduced significantly with the development of OA (p < 0.05), while the reflection coefficient of the cartilage-bone interface increased with the increase of grade.
High frequency ultrasound measurements can reflect the changes in the surface roughness index and the ultrasound reflection coefficients of the cartilage samples with different OA grades. This study may provide useful information for the quantitative ultrasonic diagnosis of early OA.
早期诊断骨关节炎(OA)对于防止进一步的软骨破坏和减少严重并发症至关重要。本研究旨在探讨 OA 病理分级与定量声参数之间的关系,为 OA 软骨的超声微观评估提供更客观的标准。
从兔膝关节制备关节软骨样本,并使用超声生物显微镜(UBM)进行扫描。提取了三个定量参数,包括软骨表面粗糙度指数(URI)、软骨表面的反射系数(R)和软骨-骨界面的反射系数(Rbone)。根据国际骨关节炎研究协会(OARSI)的分级标准,对这些软骨样本的骨关节炎分级进行定性评估。探讨了这些定量参数与骨关节炎分级之间的关系。
结果表明,URI 随 OA 分级的增加而增加。正常软骨样本的 URI 明显低于 OA 软骨样本。1 级软骨样本和 2 级软骨样本的 URI 无显著差异。随着 OA 的发展,软骨表面的反射系数显著降低(p<0.05),而软骨-骨界面的反射系数随着分级的增加而增加。
高频超声测量可以反映不同 OA 分级的软骨样本表面粗糙度指数和超声反射系数的变化。本研究可能为早期 OA 的定量超声诊断提供有用信息。