In silico analysis reveals the prospects of renal anisotropy in improving chronic kidney disease detection using ultrasound shear wave elastography
Document Type
Article
Publication Date
9-1-2024
Abstract
Renal anisotropy is a complex property of the kidney and often poses a challenge in obtaining consistent measurements when using shear wave elastography to detect chronic kidney disease. To circumvent the challenge posed by renal anisotropy in clinical settings, a dimensionless biomarker termed the `anisotropic ratio' was introduced to establish a correlation between changes in degree of renal anisotropy and progression of chronic kidney disease through an in silico perspective. To achieve this, an efficient model reduction approach was developed to model the anisotropic property of kidneys. Good agreement between the numerical and experimental data were obtained, as percentage errors of less than 5.5% were reported when compared against experimental phantom measurement from the literature. To demonstrate the applicability of the model to clinical measurements, the anisotropic ratio of sheep kidneys was quantified, with both numerical and derived experimental results reporting a value of .667. Analysis of the anisotropic ratio with progression of chronic kidney disease demonstrated that patients with normal kidneys would have a lower anisotropic ratio of .872 as opposed to patients suffering from renal impairment, in which the anisotropic ratio may increase to .904, as determined from this study. The findings demonstrate the potential of the anisotropic ratio in improving the detection of chronic kidney disease using shear wave elastography. Renal anisotropy often poses a challenge in obtaining consistent measurements when using shear wave elastography owing to the different directions in which shear waves can propagate. To circumvent this challenge, a dimensionless biomarker termed the `anisotropic ratio', which accounts for shear wave propagation parallel to- and perpendicular to- the cortex micro-architecture, was introduced to assist in improving chronic kidney disease detection. Results indicate that healthy patients are expected to have a lower anisotropic ratio of .872 compared to those suffering from renal impairment, which may increase to .904, as determined in this study. image
Keywords
anisotropic biomarker, CKD, computational modelling, renal anisotropy, SWE, ultrasound
Divisions
biomed
Publication Title
International Journal for Numerical Methods in Biomedical Engineering
Volume
40
Issue
9
Publisher
Wiley
Publisher Location
111 RIVER ST, HOBOKEN 07030-5774, NJ USA