Shear wave elastography in chronic kidney disease - the physics and clinical application

Kwan Hoong Ng1,2, Jeannie Hsiu Ding Wong1, Sook Sam Leong3

  • 1Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.

Insights

Chronic kidney disease affects millions globally. New ultrasound shear wave elastography offers a non-invasive method to assess kidney stiffness, potentially improving diagnosis and management of this widespread condition.

Area of Science:

  • Nephrology
  • Medical Imaging
  • Biophysics

Background:

  • Chronic kidney disease (CKD) is a major global health issue affecting nearly 500 million people, leading to almost one million deaths annually.
  • Current diagnostic methods like estimated glomerular filtration rate (eGFR), conventional ultrasound, and histopathology have limitations, including error margins, subjective assessments, and potential complications.

Purpose of the Study:

  • To review the literature and present combined experience on renal shear wave elastography (SWE) for CKD assessment.
  • To discuss confounding factors and future possibilities in ultrasound renal imaging, focusing on SWE.

Main Methods:

  • Review of existing literature on renal SWE.
  • Presentation of combined research experience and knowledge in the field.
  • Discussion of the principles of SWE: generating and measuring shear waves to quantify tissue stiffness non-invasively.

Main Results:

  • Ultrasound shear wave elastography is an emerging, non-invasive imaging technique that quantifies tissue stiffness.
  • SWE involves applying acoustic pulses to generate shear waves and measuring their propagation speed to estimate tissue stiffness.
  • This technique shows promise for improving the assessment of renal pathology compared to existing methods.

Conclusions:

  • Renal SWE offers a promising non-invasive approach for evaluating kidney stiffness and potentially aiding in the detection and management of chronic kidney disease.
  • Further research and understanding of confounding factors are crucial for optimizing the clinical application of renal SWE in ultrasound renal imaging.