Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Scientific Reports
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. scientific reports
  3. articles
  4. article
To explore the performance of ultrasound elastography in staging diabetic kidney disease: a systematic review and meta-analysis
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 06 February 2026

To explore the performance of ultrasound elastography in staging diabetic kidney disease: a systematic review and meta-analysis

  • Alisa Mohebbi1,2,
  • Saeed Mohammadzadeh1,3,
  • Fatemeh Asli1,2,
  • Faeze Salahshour3 &
  • …
  • Afshin Mohammadi4 

Scientific Reports , Article number:  (2026) Cite this article

  • 342 Accesses

  • Metrics details

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Diseases
  • Endocrinology
  • Health care
  • Medical research

Abstract

To assess the diagnostic performance of different quantitative ultrasound elastography (USE) parameters in differentiating five stages of diabetic kidney disease (DKD) from each other as well as from healthy participants and type 2 diabetic patients without nephropathy. The protocol was pre-registered at https://osf.io/dfu8b/. Using PubMed, Web of Science, Embase, and Cochrane Library, we found studies up to October 10, 2023. Risk of bias was assessed using Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). The USE parameter of cortical stiffness was compared in an inter-stage manner based on mean differences, standardized mean differences, and ratios of means. In addition, cortical stiffness was evaluated for its diagnostic accuracy in staging DKD. Sensitivity and publication bias analyses were also conducted. Certainty of evidence was assessed using Grading of Recommendations, Assessment, Development, and Evaluation (GRADE). Eighteen studies were included with 2814 participants. The mean stiffness value consistently increased with the progression of the disease. Differentiation of five stages of DKD from two non-DKD groups, respectively, showed sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and area under curve of 79%, 83%, 4.70, 0.25, 18.68, and 0.88. These values for differentiation of stages 3 to 5 of DKD from the other four milder groups were 80%, 79%, 3.85, 0.25, 15.53, and 0.87, respectively. USE shows promise as a noninvasive, simple, and quantitative diagnostic tool for staging DKD, especially in its early stages. With standardized protocols, its application could benefit patient management by enhancing the accuracy of DKD staging.

Data availability

The data supporting this article can be obtained from the corresponding author upon request.

Abbreviations

DKD:

diabetic kidney disease

USE:

ultrasound elastography

DM:

diabetes mellitus

SWE:

shear wave elastography

DTA:

diagnostic test accuracy

MD:

mean differences

SMD:

standardized mean differences

AUC:

area under curve

References

  1. Reidy, K., Kang, H. M., Hostetter, T. & Susztak, K. Molecular mechanisms of diabetic kidney disease. J. Clin. Invest. 124 (6), 2333–2340 (2014).

    Google Scholar 

  2. Bonner, R., Albajrami, O., Hudspeth, J. & Upadhyay, A. Diabet. Kidney Disease Prim. Care ;47(4):645–659. (2020).

    Google Scholar 

  3. Grenier, N., Gennisson, J. L., Cornelis, F., Le Bras, Y. & Couzi, L. Renal ultrasound elastography. Diagn. Interv Imaging. 94 (5), 545–550 (2013).

    Google Scholar 

  4. Koc, A. S., Sumbul, H. E. & Gülümsek, E. Increased renal cortical stiffness in patients with advanced diabetic kidney disease. Saudi J. Kidney Dis. Transpl. 30 (1), 138–150 (2019).

    Google Scholar 

  5. Krishnan, V. & Malik, A. Role of intrarenal resistive index and ElastPQ® renal shear modulus in early diagnosis and follow-up of diabetic nephropathy: A prospective study. Ultrasound 28 (4), 246–254 (2020).

    Google Scholar 

  6. Liu, Q. Y. et al. Value of elastography point quantification in improving the diagnostic accuracy of early diabetic kidney disease. World J. Clin. Cases. 7 (23), 3945–3956 (2019).

    Google Scholar 

  7. Koc, A. S. & Sumbul, H. E. Renal cortical stiffness obtained by shear wave elastography imaging is increased in patients with type 2 diabetes mellitus without diabetic nephropathy. J. Ultrasound. 21 (4), 279–285 (2018).

    Google Scholar 

  8. Roshan, B. & Stanton, R. C. A story of microalbuminuria and diabetic nephropathy. J. Nephropathol. 2 (4), 234–240 (2013).

    Google Scholar 

  9. Kramer, H. J., Nguyen, Q. D., Curhan, G. & Hsu, C. Y. Renal insufficiency in the absence of albuminuria and retinopathy among adults with type 2 diabetes mellitus. Jama 289 (24), 3273–3277 (2003).

    Google Scholar 

  10. Goya, C. et al. Acoustic radiation force impulse imaging for evaluation of renal parenchyma elasticity in diabetic nephropathy. AJR Am. J. Roentgenol. 204 (2), 324–329 (2015).

    Google Scholar 

  11. Bob, F. et al. Ultrasound-Based shear wave elastography in the assessment of patients with diabetic kidney disease. Ultrasound Med. Biol. 43 (10), 2159–2166 (2017).

    Google Scholar 

  12. Cè, M., Felisaz, P. F., Alì, M., Re Sartò, G. V. & Cellina, M. Ultrasound elastography in chronic kidney disease: a systematic review and meta-analysis. J Med Ultrason 2023;50(3):381–415 (2001).

  13. Lakshmana, S. K., Koteshwar, P. & Kamath, T. Value of shear wave elastography in the evaluation of chronic kidney disease. Int. J. Nephrol. Renovasc Dis. 17, 307–317 (2024).

    Google Scholar 

  14. Yu, N., Zhang, Y. & Xu, Y. Value of virtual touch tissue quantification in stages of diabetic kidney disease. J. Ultrasound Med. 33 (5), 787–792 (2014).

    Google Scholar 

  15. Deeks, J. J. B. P., Leeflang, M. M. & Takwoingi, Y. (eds). Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy. Version 2.0 (updated July 2023)2023.

  16. Stevens, P. E. et al. KDIGO 2024 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int. 105 (4), S117–S314 (2024).

    Google Scholar 

  17. Fang, J. X., Chen, X. Y., Yang, Q. M. & Xue, M. H. Factors influencing renal parenchymal stiffiness in patients with diabetic nephropathy. Int. J. Gen. Med. 14, 1911–1917 (2021).

    Google Scholar 

  18. Hassan, K. et al. Shear wave elastography imaging for assessing the chronic pathologic changes in advanced diabetic kidney disease. Ther. Clin. Risk Manag. 12, 1615–1622 (2016).

    Google Scholar 

  19. Borenstein, M. Common Mistakes in Meta-Analysis (Independent, 2019).

  20. McGee, S. Evidence-based Physical Diagnosis (Elsevier/Saunders, 2012).

  21. Nahm, F. S. Receiver operating characteristic curve: overview and practical use for clinicians. Korean J. Anesthesiol. 75 (1), 25–36 (2022).

    Google Scholar 

  22. Friedrich, J. O., Adhikari, N. K. & Beyene, J. The ratio of means method as an alternative to mean differences for analyzing continuous outcome variables in meta-analysis: a simulation study. BMC Med. Res. Methodol. 8, 32 (2008).

    Google Scholar 

  23. Faraone, S. V. Interpreting estimates of treatment effects: implications for managed care. P T. 33 (12), 700–711 (2008).

    Google Scholar 

  24. Higgins, J. P., Thompson, S. G., Deeks, J. J. & Altman, D. G. Measuring inconsistency in meta-analyses. Bmj 327 (7414), 557–560 (2003).

    Google Scholar 

  25. Lin, H. Y. et al. Association of renal elasticity and renal function progression in patients with chronic kidney disease evaluated by Real-Time ultrasound elastography. Sci. Rep. 7, 43303 (2017).

    Google Scholar 

  26. Gungor, O. et al. Ultrasound elastography evaluations in patient populations with various kidney diseases. Ultrasound Q. 35 (2), 169–172 (2019).

    Google Scholar 

  27. Sumbul, H. E., Koc, A. S. & Gülümsek, E. Renal cortical stiffness is markedly increased in pre-diabetes mellitus and associated with albuminuria. Singap. Med. J. 61 (8), 435–442 (2020).

    Google Scholar 

  28. Gunduz, N., Buz, A. & Kabaalioglu, A. Does early diabetic kidney damage alter renal elasticity? An Ultrasound-Based, Two-Dimensional shear wave elastography study. Medeni Med. J. 36 (3), 209–216 (2021).

    Google Scholar 

  29. Yuksekkaya, R., Celikyay, F., Yuksekkaya, M. & Kutluturk, F. Shear wave elastography in early diabetic kidney disease. Rev. Assoc. Med. Bras. (1992). 68 (6), 765–769 (2022).

    Google Scholar 

  30. Shi, L. Q., Sun, J. W., Miao, H. H. & Zhou, X. L. Comparison of supersonic shear wave Imaging-Derived renal parenchyma stiffness between diabetes mellitus patients with and without diabetic kidney disease. Ultrasound Med. Biol. 46 (7), 1630–1640 (2020).

    Google Scholar 

  31. Yu, N. et al. Evaluation of shear wave velocity and human bone morphogenetic protein-7 for the diagnosis of diabetic kidney disease. PLoS One. 10 (3), e0119713 (2015).

    Google Scholar 

  32. Chirila, C. et al. Ultrasound. Med. Biol. ;48:S25. (2022).

    Google Scholar 

  33. Sia, C. et al. SHEAR WAVE ELASTOGRAPHY AS A NON-INVASIVE MARKER OF RENAL FIBROSIS IN NATIVE DIABETIC KIDNEY DISEASE. (2020).

  34. Soldo, D., Brkljacic, B., Bozikov, V., Drinkovic, I. & Hauser, M. Diabetic nephropathy. Comparison of conventional and duplex doppler ultrasonographic findings. Acta Radiol. 38 (2), 296–302 (1997).

    Google Scholar 

  35. Zelnick, L. R. et al. Diabetes and CKD in the united States Population, 2009–2014. Clin. J. Am. Soc. Nephrol. 12 (12), 1984–1990 (2017).

    Google Scholar 

Download references

Acknowledgements

N/A.

Funding

None.

Author information

Authors and Affiliations

  1. Universal Scientific Education and Research Network (USERN), Tehran, Iran

    Alisa Mohebbi, Saeed Mohammadzadeh & Fatemeh Asli

  2. School of Medicine, Tehran University of Medical Sciences, Tehran, Iran

    Alisa Mohebbi & Fatemeh Asli

  3. Department of Radiology, Tehran University of Medical Sciences, Imam Khomeini Hospital, Tehran, Iran

    Saeed Mohammadzadeh & Faeze Salahshour

  4. Department of Radiology, Faculty of Medicine, Urmia University of Medical Science, Urmia, Iran

    Afshin Mohammadi

Authors
  1. Alisa Mohebbi
    View author publications

    Search author on:PubMed Google Scholar

  2. Saeed Mohammadzadeh
    View author publications

    Search author on:PubMed Google Scholar

  3. Fatemeh Asli
    View author publications

    Search author on:PubMed Google Scholar

  4. Faeze Salahshour
    View author publications

    Search author on:PubMed Google Scholar

  5. Afshin Mohammadi
    View author publications

    Search author on:PubMed Google Scholar

Contributions

All authors contributed significantly to this article. A.Mohe: statistical analysis, data extraction, data screening. S.M: primary writer of manuscript, data extraction. F.A: providing revision for writing of manuscript. A.Moha: Manager and principal investigator, study design.

Corresponding author

Correspondence to Afshin Mohammadi.

Ethics declarations

Ethics approval and consent to participate

N/A.

Consent for publication

N/A.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary Material 1

Supplementary Material 2

Supplementary Material 3

Supplementary Material 4

Supplementary Material 5

Supplementary Material 6

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mohebbi, A., Mohammadzadeh, S., Asli, F. et al. To explore the performance of ultrasound elastography in staging diabetic kidney disease: a systematic review and meta-analysis. Sci Rep (2026). https://doi.org/10.1038/s41598-026-39278-w

Download citation

  • Received: 01 August 2025

  • Accepted: 04 February 2026

  • Published: 06 February 2026

  • DOI: https://doi.org/10.1038/s41598-026-39278-w

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Keywords

  • Ultrasound elastography (USE)
  • Diabetes mellitus (DM)
  • Diabetic kidney disease (DKD)
  • Shear wave elastography (SWE)
  • Diagnostic test accuracy (DTA)
Download PDF

Advertisement

Explore content

  • Research articles
  • News & Comment
  • Collections
  • Subjects
  • Follow us on Facebook
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • About Scientific Reports
  • Contact
  • Journal policies
  • Guide to referees
  • Calls for Papers
  • Editor's Choice
  • Journal highlights
  • Open Access Fees and Funding

Publish with us

  • For authors
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Scientific Reports (Sci Rep)

ISSN 2045-2322 (online)

nature.com sitemap

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing