Department of Mechanical Engineering, School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, 47500 Bandar Sunway, Selangor, Malaysia.
Department of Mechanical Engineering, School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, 47500 Bandar Sunway, Selangor, Malaysia.
Ultrasonics. 2023 Aug;133:107046. doi: 10.1016/j.ultras.2023.107046. Epub 2023 May 20.
The application of ultrasound shear wave elastography for detecting chronic kidney disease, namely renal fibrosis, has been widely studied. A good correlation between tissue Young's modulus and the degree of renal impairment has been established. However, the current limitation of this imaging modality pertains to the linear elastic assumption used in quantifying the stiffness of renal tissue in commercial shear wave elastography systems. As such, when underlying medical conditions such as acquired cystic kidney disease, which may potentially influence the viscous component of renal tissue, is present concurrently with renal fibrosis, the accuracy of the imaging modality in detecting chronic kidney disease may be affected. The findings in this study demonstrate that quantifying the stiffness of linear viscoelastic tissue using an approach similar to those implemented in commercial shear wave elastography systems led to percentage errors as high as 87%. The findings presented indicate that use of shear viscosity to detect changes in renal impairment led to a reduction in percentage error to values as low as 0.3%. For cases in which renal tissue was affected by multiple medical conditions, shear viscosity was found to be a good indicator in gauging the reliability of the Young's modulus (quantified through a shear wave dispersion analysis) in detecting chronic kidney disease. The findings show that percentage error in stiffness quantification can be reduced to as low as 0.6%. The present study demonstrates the potential use of renal shear viscosity as a biomarker to improve the detection of chronic kidney disease.
超声剪切波弹性成像在检测慢性肾脏病（即肾纤维化）中的应用已得到广泛研究。组织杨氏模量与肾功能损害程度之间存在良好的相关性。然而，这种成像方式的当前局限性在于商业剪切波弹性成像系统中用于量化肾组织硬度的线性弹性假设。因此，当存在可能影响肾组织粘性成分的获得性囊性肾病等潜在基础医学病症同时存在于肾纤维化时，该成像方式在检测慢性肾脏病方面的准确性可能会受到影响。本研究的结果表明，使用类似于商业剪切波弹性成像系统中实施的方法来量化线性粘弹性组织的硬度，会导致高达 87%的百分比误差。研究结果表明，使用剪切粘度来检测肾功能损害的变化会使百分比误差降低到低至 0.3%。对于受多种医学病症影响的肾组织，发现剪切粘度是衡量通过剪切波频散分析定量的杨氏模量（Young's modulus）检测慢性肾脏病的可靠性的良好指标。研究结果表明，刚度量化的百分比误差可降低至低至 0.6%。本研究表明，肾剪切粘度作为生物标志物具有改善慢性肾脏病检测的潜力。
