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World J Nephrol. Mar 25, 2026; 15(1): 116148
Published online Mar 25, 2026. doi: 10.5527/wjn.v15.i1.116148
Published online Mar 25, 2026. doi: 10.5527/wjn.v15.i1.116148
Renal elasticity assessment in patients of glomerulonephritis by shear-wave elastography and its correlation with histopathology and renal biomarkers
Raghunandan Prasad, Robin Verma, Anuradha Singh, Hira Lal, Department of Radiology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow 226014, Uttar Pradesh, India
Manas R Behera, Monika Yachha, Ravi S Kushwaha, Department of Nephrology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow 226014, Uttar Pradesh, India
Manoj Jain, Vinita Agrawal, Department of Pathology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow 226014, Uttar Pradesh, India
Priyank Yadav, Department of Urology and Renal Transplantation, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow 226014, Uttar Pradesh, India
Author contributions: Prasad R contributed to conceptualization; Verma R contributed to data collection, ultrasound and SWE acquisition, investigation, formal analysis, drafting of the manuscript, data curation; Singh A contributed to statistical analysis, validation; writing - review & editing, interpretation of results; Behera MR contributed to patient recruitment, clinical evaluation, nephrology inputs, interpretation of biochemical and clinical correlations, manuscript review; Yachha M contributed to patient screening, sample handling, clinical data coordination; Kushwaha RS contributed to clinical supervision, nephrology expertise, guidance on biopsy indications and follow-up interpretation, review of final manuscript; Jain M contributed to contributed to histopathology reporting, IF/TA grading, pathology data interpretation, critical revision of pathology-related content; Agrawal V contributed to histopathology supervision, quality control of biopsy interpretation, contribution to manuscript sections related to pathology; Yadav P contributed to study design support and final approval; Prasad R and Lal H contributed to study design, supervision, methodology, critical revision of the manuscript; Yachha M and Lal H contributed to manuscript editing.
Institutional review board statement: The study was reviewed and approved by institutional review board of SGPGIMS, Lucknow, India (IEC code: 2021-52-MD-EXP-36; PGI/BE/1137/2021).
Informed consent statement: All study participants provided written consent prior to study enrollment.
Conflict-of-interest statement: All authors of this manuscript having no conflicts of interest to disclose.
CONSORT 2010 statement: The authors have read the CONSORT 2010 statement, and the manuscript was prepared and revised according to the CONSORT 2010 statement.
Data sharing statement: There is no additional data available.
Corresponding author: Hira Lal, Professor, Department of Radiology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Raibareli Road, Lucknow 226014, Uttar Pradesh, India. hiralal2007@yahoo.co.in
Received: November 4, 2025
Revised: November 29, 2025
Accepted: January 6, 2026
Published online: March 25, 2026
Processing time: 130 Days and 20.8 Hours
Revised: November 29, 2025
Accepted: January 6, 2026
Published online: March 25, 2026
Processing time: 130 Days and 20.8 Hours
Core Tip
Core Tip: This research explored a new, painless ultrasound method that measures kidney stiffness. In patients with kidney inflammation (glomerulonephritis), we found that increased kidney stiffness directly corresponds to more scarring inside the organ. This technique proved to be highly accurate in detecting this scarring, which is a key factor in predicting kidney disease progression. Our findings suggest that this simple, non-invasive scan can be a valuable tool for doctors to identify scarring early, monitor the disease over time, and make more informed decisions about which patients truly need a biopsy.