BMC Nephrology (Oct 2024)

The value of tissue quantitative diffusion analysis of ultrasound elastography in the diagnosis of early-stage chronic kidney disease

  • Dan-ling Zhang,
  • Sheng Chen,
  • Jia-ming Xu,
  • Na-Lin,
  • Hai-yan Wu,
  • Jin-mei Zhou,
  • Zhao-ping Chen,
  • Xu-ri Huang,
  • Li-xin Wei,
  • Dai-xiang Liu

DOI
https://doi.org/10.1186/s12882-024-03762-0
Journal volume & issue
Vol. 25, no. 1
pp. 1 – 9

Abstract

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Abstract Purpose To explore the value of tissue quantitative diffusion analysis of ultrasound elastography in the diagnosis of early-stage chronic kidney disease (CKD). Methods The observation group comprised 54 patients with early-stage CKD treated at Fuzhou No 7 Hospital, and the control group consisted of 40 healthy individuals who underwent physical examinations at the same hospital. The renal parenchyma of the participants were examined using ultrasonography, color Doppler ultrasonography, and tissue quantitative diffusion analysis of ultrasound elastography. Renal dimensions (diameter, thickness, and renal parenchyma thickness), interlobar artery blood flow parameters, and 11 elastic characteristic values were analyzed and compared between the two groups. The area under the receiver-operating characteristic (ROC) curve, cut-off values, sensitivity, and specificity were calculated using the ROC curve analysis. Results There were no significant differences in the blood flow parameters of the interlobar artery and the dimensions of renal meridians between the two groups. In the observation group, the mean (MEAN) decreased, while the blue area ratio and skewness, increased, compared to the control group (p 0.7). Notably, the best cut-off value of the MEAN was found to be 106, indicating that a MEAN value less than 106 represented early-stage CKD. Also, this cutoff value had a sensitivity of 80% and a specificity of 81%. Conclusion Tissue quantitative diffusion analysis of ultrasound elastography can quantitatively evaluate renal parenchymal damage in early-stage CKD using quantitative diffusion parameters, with the MEAN parameter, having a cutoff of 106, being particularly effective. This parameter and cutoff value offer a valuable tool for the early detection and diagnosis of CKD, potentially improving patient outcomes through earlier intervention. Clinical trial number Not applicable.

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