Affiliations 

  • 1 School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, Malaysia
  • 2 School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, Malaysia; Advanced Engineering Platform, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, Malaysia. Electronic address: ooi.ean.hin@monash.edu
  • 3 Department of Biomedical Imaging, University of Malaya, Kuala Lumpur, Malaysia; University of Malaya Research Imaging Centre, University of Malaya, Kuala Lumpur, Malaysia
  • 4 Department of Biomedical Imaging, University of Malaya, Kuala Lumpur, Malaysia; Department of Biomedical Imaging, University of Malaya Medical Centre, Kuala Lumpur, Malaysia
Ultrasound Med Biol, 2021 08;47(8):2033-2047.
PMID: 33958257 DOI: 10.1016/j.ultrasmedbio.2021.03.030

Abstract

Early detection of chronic kidney disease is important to prevent progression of irreversible kidney damage, reducing the need for renal transplantation. Shear wave elastography is ideal as a quantitative imaging modality to detect chronic kidney disease because of its non-invasive nature, low cost and portability, making it highly accessible. However, the complexity of the kidney architecture and its tissue properties give rise to various confounding factors that affect the reliability of shear wave elastography in detecting chronic kidney disease, thus limiting its application to clinical trials. The objective of this review is to highlight the confounding factors presented by the complex properties of the kidney, in addition to outlining potential mitigation strategies, along with the prospect of increasing the versatility and reliability of shear wave elastography in detecting chronic kidney disease.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.