Diagnostic performance of renal cortical elasticity by supersonic shear wave imaging in pediatric glomerular disease.

Eur J Radiol

Department of Ultrasound Imaging, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, No. 100 Xianggang Road, Wuhan City, Hubei 430016, China.

Published: November 2023

AI Article Synopsis

  • This study investigates the use of supersonic shear wave imaging (SSI) to measure renal cortical elasticity, indicated by Young's modulus (YM), in children with glomerular disease compared to healthy controls.
  • The findings reveal that children with glomerular disease have significantly higher YM values than healthy participants, with the left kidney's middle pole showing the best diagnostic accuracy (AUC of 0.936).
  • Despite the differences in YM, the study found no significant variations in YM based on different types of pediatric glomerular disease, nor were there significant correlations with factors like age, sex, or other clinical metrics.

Article Abstract

Purpose: To explore the diagnostic performance of renal cortical elasticity expressed by Young's modulus (YM) using the supersonic shear wave imaging (SSI) technique in pediatric glomerular disease.

Materials And Methods: Seventy-one children with glomerular disease confirmed by renal biopsy and sixty healthy volunteers were enrolled in this study. Conventional and SSI ultrasound examinations were performed in all individuals for both kidneys. We measured renal length, renal width, renal thickness, parenchyma thickness, interlobar arterial resistive index (RI) and the YM of the middle and lower pole.

Results: Regardless of which pole and which side of the kidney, the YM in the disease group was significantly higher than that in the control group (P < 0.001). The YM of the middle pole in the left kidney demonstrated the largest AUC (0.936, P < 0.001), and the corresponding cut-off value was 15.48 kPa with a sensitivity of 87.3% and a specificity of 86.7%. There was no significant difference in the YM among different pathological types of pediatric glomerular disease in the disease group, and the same in different grades of patients with Immunoglobulin A (IgA) nephropathy by Lee classification and the Oxford Classification as well as Henoch-Schonlein purpura nephritis (HSPN) by International Study of Kidney Disease in Children (ISKDC) classification (P > 0.05). We found positive but weak correlations between the YM and renal length (r = 0.299, P = 0.001), renal width (r = 0.408, P < 0.001), renal thickness (r = 0.299, P = 0.001), and parenchyma thickness (r = 0.212, P = 0.015), whereas the YM had no significant correlations with age, sex, BMI, interlobar arterial RI, and laboratory findings (P > 0.05).

Conclusions: SSI technology is a non-invasive and feasible method for the diagnosis of pediatric glomerular disease. However, SSI did not show good performance in distinguishing different pathological types and disease grades in our study.

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Source
http://dx.doi.org/10.1016/j.ejrad.2023.111113DOI Listing

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