Title
Data on renal cortical elasticity using dynamic shear wave elastography among healthy population
Authors
Manisha Oraon, Suresh Kumar Toppo*, Rajeev Kumar Ranjan, Anima Ranjni Xalxo, Nisha Rai, Riya Agarwal, Sonali Priyadarsini Reddy & Mohd Ismail
Affiliation
Department of Radio-diagnosis, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India; *Corresponding author
Manisha Oraon - E-mail: oraonmanisha3007@gmail.com
Suresh Kumar Toppo - E-mail: rddrsuresh2205@gmail.com
Rajeev Kumar Ranjan - E-mail: drrkranjanmd@gmail.com
Anima Ranjni Xalxo - E-mail: dr.animaxalxo@gmail.com
Nisha Rai - E-mail: nisha_zandels@yahoo.com
Riya Agarwal - E-mail: riyarmg@gmail.com
Sonali Priyadarsini Reddy - E-mail:
sonalipriyadarsinireddy20@gmail.com
Mohd Ismail - E-mail: mohdismail.ismail88@gmail.com
Article Type
Research Article
Date
Received November 15, 2025; Revised December 15, 2025; Accepted December 15, 2025, Published December 15, 2025
Abstract
Chronic kidney disease (CKD) requires early diagnostic tools beyond conventional methods. Therefore, it is of interest to establish normative renal cortical elasticity values using point Shear Wave Elastography (pSWE) in 289 healthy adults aged 20–50 years in Ranchi, India. Mean elasticity was 1.53 ± 0.196 m/sec (right kidney) and 1.52 ± 0.130 m/sec (left), with no significant side difference. Elasticity showed no association with age, gender, renal dimensions, or cortical thickness, but demonstrated a significant negative correlation with BMI and parenchymal thickness. These reference values support future SWE-based evaluation of renal pathologies in the Indian population.
Keywords
Renal cortical elasticity, shear wave elastography, chronic kidney disease, normative data, ElastPQ, kidney stiffness
Citation
Oraon et al. Bioinformation 21(12): 4896-4900 (2025)
Edited by
Hiroj Bagde
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
