Ontology highlight
ABSTRACT: Background
The accurate monitoring of chronic kidney disease (CKD) progression is clinically challenging, as conventional shear wave elastography (SWE) only evaluates tissue stiffness by focusing solely on quantifying tissue elasticity, and this parameter is influenced by hemodynamic fluctuations. Sound touch viscosity imaging (STVi) addresses these limitations by simultaneously quantifying both elasticity and viscosity, providing a comprehensive biomechanical profile that better reflects the complex pathophysiology of CKD. This dual-parameter approach enables more reliable disease staging and progression monitoring. This study aimed to investigate whether STVi-derived viscosity parameters outperformed conventional elasticity measurements in CKD diagnosis and staging, establish cli
SUBMITTER: Zhu W
PROVIDER: S-EPMC12682471 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature