Does two-dimensional shear-wave elastography accurately evaluate renal fibrosis and interstitial inflammation grades in patients with chronic kidney disease?
69 patients with chronic kidney disease (22 in reproducibility trial, 47 in validity trial) recruited between October 2023 and June 2024.
Two-dimensional shear-wave elastography (2D-SWE) to obtain viscoelastic parameters (Emean, Emax, Emin, Vmean) and combined clinical models.
Renal biopsy (reference standard).
Diagnostic performance (AUC, sensitivity, specificity) in assessing grades of renal fibrosis and interstitial inflammation.surrogate
Two-dimensional shear-wave elastography, especially when combining maximum elasticity with eGFR, offers a promising non-invasive method for evaluating renal fibrosis and interstitial inflammation in chronic kidney disease.
Accurate evaluation of renal fibrosis and interstitial inflammation grades is necessary to improve the prognosis of patients with chronic kidney disease (CKD). However, non-invasive and accurate diagnostic methods are lacking. In this regard, shear wave elastography, which measures tissue viscosity and elasticity, may be a promising alternative. Therefore, this study aimed to evaluate the diagnostic performance of individual viscoelastic parameters, combined viscoelastic parameter models, and combined clinical parameter models in assessing the grades of renal fibrosis and interstitial inflammation. This prospective study recruited 22 and 47 patients with CKD in the reproducibility and validity trials, respectively, between October 2023 and June 2024. The mean elasticity (Emean), maximum elasticity (Emax), minimum elasticity (Emin), and mean viscosity (Vmean) were obtained using two-dimensional shear-wave elastography (2D-SWE). The biopsy specimens were assessed to determine the grades of renal fibrosis and interstitial inflammation. Additionally, clinical data, including protein-to-creatinine ratio, and estimated glomerular filtration rate (eGFR), were obtained from the patients’ medical records. Multiple logistic regression models were constructed, including viscoelastic models and clinical models, and their diagnostic performance was evaluated using receiver operating characteristic curves. The Emean, Emax, Emin and Vmean demonstrated good to excellent intra-observer consistency (ICCs = 0.839–0.929, p 0.05). In contrast, Emax combined with eGFR demonstrated an AUC of 0.902 (95% CI: 0.780–0.969), a sensitivity of 93.3%, and a specificity of 84.4% in distinguishing fibrosis grades. Individual Vmean achieved an AUC of 0.919 (95% CI: 0.801–0.978), a sensitivity of 100%, and a specificity of 86.1% in differentiating between the grades of renal interstitial inflammation. A combination of Emax and eGFR was useful for detecting severe renal fibrosis. Additionally, Vmean was identified as a potentially useful parameter for differentiating interstitial inflammation grades, although this finding requires validation in larger cohorts given the limited samples with severe interstitial inflammation. NCT06961162. Registration date: 2025-04-29.
Building similarity graph...
Analyzing shared references across papers
Loading...
Zeng et al. (Fri,) studied this question.
www.synapsesocial.com/papers/69a75e7bc6e9836116a291e2 — DOI: https://doi.org/10.1186/s12882-026-04762-y
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:
Lan Zeng
Min Lu
Jeong Min Lee
BMC Nephrology
SHILAP Revista de lepidopterología
Peking University
Seoul National University Hospital
Peking University Third Hospital
Building similarity graph...
Analyzing shared references across papers
Loading...