Key result
Supersonic shear wave imaging effectively diagnosed pediatric glomerular disease, with the Young's modulus of the left kidney middle pole yielding an AUC of 0.936 (P<0.001).
Why the study?
The study was designed to explore the diagnostic performance of renal cortical elasticity expressed by Young's modulus using supersonic shear wave imaging in pediatric glomerular disease.
Does supersonic shear wave imaging accurately diagnose pediatric glomerular disease?
Case-Control (n=131)
Does supersonic shear wave imaging accurately diagnose pediatric glomerular disease?
Effect estimate: AUC 0.936
p-value: p=<0.001
Supersonic shear wave imaging is a feasible, non-invasive method for diagnosing pediatric glomerular disease, though it cannot distinguish between specific pathological types or grades.
Supports shear wave elastography for noninvasive pediatric glomerular disease detection; hypothesis-generating and requires prospective validation before clinical use.
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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Shi et al. (2023) conducted a case-control in Pediatric glomerular disease (n=131). Supersonic shear wave imaging (SSI) vs. Healthy volunteers was evaluated on Diagnostic performance (AUC) of Young's modulus (AUC 0.936, p=<0.001). Supersonic shear wave imaging effectively diagnosed pediatric glomerular disease, with the Young's modulus of the left kidney middle pole yielding an AUC of 0.936 (P<0.001).
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