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PMID: 42267728 Published · aheadofprint English

Correlation Between Computer-Assisted Ultrasonographic Parameters and Histological Findings in Glomerular Diseases: A Multivariate Ordinal Analysis.

Araújo NC, da Silveira Rioja L, Suassuna JHR

Abstract

This study aimed to correlate renal ultrasonographic and Doppler parameters with histological findings from kidney biopsies using computer-assisted image analysis. Objective measures included the cortical-to-liver (or spleen) echogenicity ratio, corticomedullary ratio (CMR), renal resistivity index (RRI), splenic resistivity index (SRI), and a derived index (DI-RISK). The patients' age and CKD-EPI-derived estimated glomerular filtration rate (eGFR) were recorded. Histological lesions encompassed all components of the lupus nephritis activity and chronicity indices. Ultrasound images were analyzed to extract grayscale values from manually defined regions of interest. RRI was measured in interlobar arteries, and SRI at the intraparenchymal splenic artery. The DI-RISK index expressed the RRI difference from the SRI as a percentage of the RRI. Associations were evaluated using multivariate ordinal logistic regression. Increased cortical echogenicity was independently correlated with severe interstitial fibrosis/tubular atrophy (IF/TA) and lower eGFR. CMR was reduced in the presence of interstitial infiltrates. IF/TA was also associated with reduced kidney size. While resistivity indices correlated with vascular lesions, age, and eGFR in the univariate analysis, only age and eGFR remained significant in the multivariate models. Computer-assisted ultrasonography correlates with key histological changes. Cortical echogenicity and kidney size may help identify advanced chronic damage noninvasively.

Keywords
cortical echogenicity corticomedullary ratio kidney sonography renal biopsy renal resistivity index spleen resistivity index tubulointerstitial changes
Article Info
Journal
Journal of clinical ultrasound : JCU
Abbr.
J Clin Ultrasound
ISSN
1097-0096
Published
2026-06-10
Language
English
Country/Region
United States
NLM ID
0401663
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