Measurements of renal shear wave velocities in chronic kidney disease patients

Yutaka Sasaki, Yoshiki Hirooka, Hiroki Kawashima, Takuya Ishikawa, Kyosuke Takeshita, Hidemi Goto

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


Background: Chronic kidney disease (CKD) patients have advanced glomerulosclerosis and renal interstitial fibrosis. Shear wave elastography (SWE) is useful to diagnose liver fibrosis. However, there are few data available regarding evaluation of kidney function on the use of SWE. Purpose: To assess the utility of SWE by evaluating the correlation between renal function and renal elasticity using SWE. Material and Methods: A total of 187 participants who had available serum creatinine levels and also underwent SWE of the kidney using a transabdominal ultrasonography were recruited at Nagoya University Hospital. We measured the depth of the shear wave (SW) in the right and left kidneys and calculated the measurement success rates. The glomerular filtration rate (GFR) classification and shear wave value (SWV) were compared. Results: The success rates of the right and left kidneys were 93.6% and 71.6%, respectively. Based on these results, the correlation between GFR classification and SWV were analyzed in only the right kidneys because the success rates and the number of enrolled patients were low for the left kidney. There were significant differences found between G1 and G3a, G2 and G3a, G3a and G3b, G3a and G4, and G3a and G5. SWV significantly negatively and positively correlated with the G2–G3a and G3a–G3b classifications. Conclusion: There is no correlation between renal function and SW. However, we can diagnose the progression to the CKD stages G3a and G3b by observing the changes over time using the SWV.

Original languageEnglish
Pages (from-to)884-890
Number of pages7
JournalActa Radiologica
Issue number7
Publication statusPublished - 01-07-2018
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging


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