高频超声显微镜和扫描声学显微镜评估的关节软骨图像比较。
Comparison of articular cartilage images assessed by high-frequency ultrasound microscope and scanning acoustic microscope.
机构信息
Department of Orthopaedic Surgery, Tohoku University School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan.
出版信息
Int Orthop. 2012 Jan;36(1):185-90. doi: 10.1007/s00264-011-1263-1. Epub 2011 May 13.
PURPOSE
The purpose of this study was to compare images of a newly developed high-frequency ultrasound imaging system (HFUIS) and scanning acoustic microscope (SAM) and to calculate their Pearson product moment correlations with a view to applying HFUIS for clinical use.
METHODS
Cylindrical cartilage-bone complexes from adult male Sprague-Dawley rats were obtained. The specimens were immersed in normal saline and scanned by HFUIS. Intensity by HFUIS was normalised by reflection from a steel plate at the same distance. After the scanning, specimens were fixed with paraformaldehyde, decalcified and embedded in paraffin. Thinly sliced tissues were prepared for SAM evaluation. After the scanning, three layers of articular cartilage (superficial, middle and deep) were independently evaluated and their relationships calculated.
RESULTS
The superficial and deep layers indicated high relative intensity, whereas the middle layer showed nonhomogeneous relative intensity by HFUIS. A high relative intensity by HFUIS and high sound speed area by SAM had strong correlations (Pearson product moment correlation, superficial layer 0.704, middle layer 0.731).
CONCLUSIONS
HFUIS produced high-resolution images of the articular cartilage and its intensity was strongly correlated with sound speed by SAM.
目的
本研究旨在比较新型高频超声成像系统（HFUIS）和扫描声学显微镜（SAM）的图像，并计算它们之间的皮尔逊积矩相关系数，以期将 HFUIS 应用于临床。
方法
从成年雄性 Sprague-Dawley 大鼠获得圆柱形软骨-骨复合物。将标本浸入生理盐水并通过 HFUIS 进行扫描。HFUIS 的强度通过相同距离处的钢板反射进行归一化。扫描后，标本用多聚甲醛固定、脱钙并嵌入石蜡中。为 SAM 评估准备薄切片组织。扫描后，分别独立评估三层关节软骨（浅层、中层和深层）并计算其关系。
结果
HFUIS 显示出高相对强度，而 SAM 显示出中层相对强度不均匀。HFUIS 的相对强度高和 SAM 的高声速区域之间具有很强的相关性（皮尔逊积矩相关，浅层 0.704，中层 0.731）。
结论
HFUIS 生成了关节软骨的高分辨率图像，其强度与 SAM 的声速有很强的相关性。
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