Skip to main content
Log in

Assessment of tibial and common peroneal nerves in diabetic peripheral neuropathy by diffusion tensor imaging: a case control study

  • Magnetic Resonance
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objectives

To determine the diagnostic accuracy and interobserver performance of diffusion tensor imaging (DTI) in diabetic peripheral neuropathy (DPN) and detect correlations with electrophysiology.

Methods

Twelve healthy volunteers (controls) and ten DPN patients were enrolled to undergo MR examinations. Fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values of tibial nerve (TN) and common peroneal nerve (CPN) were measured. Unpaired t test and Levene tests were performed to assess differences between the two groups. Receiver operating characteristic (ROC) analysis was performed for FA and ADC values. Pearson correlation coefficient was used to assess the correlation between DTI and electrophysiology parameters in the patient group.

Results

The FA values of TN and CPN in the DPN group were significantly lower and ADC were higher than the control group (p < 0.05). Interobserver agreement was excellent. FA positively correlated and ADC negatively correlated with motor nerve conduction velocity (MCV) (p < 0.05). There were no significant differences between motor nerve conduction amplitude and DTI parameters (p > 0.05). Moderate diagnostic accuracy of DTI was seen in the diagnosis of DPN.

Conclusions

DTI demonstrates moderate diagnostic accuracy and excellent interobserver performance in the detection of DPN involving the TN and CPN. There is moderate correlation with MCV.

Key Points

FA values of TN and CPN are significantly lower in DPN.

ADC values of TN and CPN are significantly higher in DPN.

DTI demonstrates moderate diagnostic accuracy in detection of DPN.

There is excellent interobserver performance in DTI measurements.

Moderate correlation is seen between DTI parameters and MCV.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Abbreviations

ADC:

apparent diffusion coefficient

AUC:

area under the ROC curve

CI:

confidence interval

CPN:

common peroneal nerve

DM:

diabetes mellitus

DPN:

diabetic peripheral neuropathy

DTI:

diffusion tensor imaging

FA:

fractional anisotropy

FOV:

field of view

ICC:

intraclass correlation coefficient

MCV:

motor nerve conduction velocity

MRI:

magnetic resonance imaging

QST:

quantitative neurosensory testing

ROI:

region of interest

ROC:

receiver operating characteristic

SPAIR:

spectral adiabatic inversion recovery

TE:

echo time

TN:

tibial nerve

TR:

repetition time

2D:

two-dimensional

Reference

  1. Vinik AI, Nevoret ML, Casellini C, Parson H (2013) Diabetic neuropathy. Endocrinol Metab Clin N Am 42:747–787

    Article  Google Scholar 

  2. Tavakoli M, Mitu-Pretorian M, Petropoulos IN et al (2013) Corneal confocal microscopy detects early nerve regeneration in diabetic neuropathy after simultaneous pancreas and kidney transplantation. Diabetes 62:254–260

    Article  CAS  PubMed  Google Scholar 

  3. Shy ME, Frohman EM, So YT et al (2003) Quantitative sensory testing: report of the therapeutics and technology assessment subcommittee of the American Academy of Neurology. Neurology 60:898–904

    Article  CAS  PubMed  Google Scholar 

  4. Sumner CJ, Sheth S, Griffin JW, Cornblath DR, Polydefkis M (2003) The spectrum of neuropathy in diabetes and impaired glucose tolerance. Neurology 60:108–111

    Article  CAS  PubMed  Google Scholar 

  5. Chhabra A, Faridian-Aragh N (2012) High-resolution 3-T MR neurography of femoral neuropathy. AJR Am J Roentgenol 198:3–10

    Article  PubMed  Google Scholar 

  6. Thakkar RS, Del Grand F, Thawait GK, Andreisek G, Carrino JA, Chhabra A (2012) Spectrum of high-resolution MRI findings in diabetic neuropathy. AJR Am J Roentgenol 199:407–412

    Article  PubMed  Google Scholar 

  7. Wang D, Zhang X, Lu L et al (2015) Assessment of diabetic peripheral neuropathy in streptozotocin-induced diabetic rats with magnetic resonance imaging. Eur Radiol 25:463–471

    Article  PubMed  Google Scholar 

  8. Alexander AL, Hasan K, Kindlmann G, Parker DL, Tsuruda JS (2000) A geometric analysis of diffusion tensor measurements of the human brain. Magn Reson Med 44:283–291

    Article  CAS  PubMed  Google Scholar 

  9. SKorpil M, Engstrom M, Nordell A (2007) Diffusion-direction-dependent imaging: a novel MRI approach for peripheral nerve imaging. Magn Reson Imaging 25:406–411

    Article  PubMed  Google Scholar 

  10. Takako K, Hiroshi F, Keizo T et al (2011) Diffusion tensor imaging of peripheral nerve in patients with chronic inflammatory demyelinating polyradiculoneuropathy: a feasibility study. Neuroradiology 53:955–960

    Article  Google Scholar 

  11. Simon NG, Lagopoulos J, Gallagher T, Kliot M, Kiernan MC (2016) Peripheral nerve diffusion tensor imaging is reliable and reproducible. J Magn Reson Imaging 43:962–969

    Article  PubMed  Google Scholar 

  12. Breckwoldt MO, Stock C, Xia A et al (2015) Diffusion tensor imaging adds diagnostic accuracy in magnetic resonance neurography. Invest Radiol 50:498–504

    Article  CAS  PubMed  Google Scholar 

  13. Preston DC, Shapiro BE (2012) Electromyography and neuromuscular disorders: clinical-electrophysiologic correlations, 3rd edn. Elsevier, Amsterdam

    Google Scholar 

  14. Das HK, Das D, Doley R, Sahu PP (2016) Quantifying demyelination in NK venom treated nerve using its electric circuit model. Sci Rep. doi:10.1038/srep22385

    Google Scholar 

  15. Haakma W, Jongbloed BA, Froeling M et al (2016) MRI shows thickening and altered diffusion in the median and ulnar nerves in multifocal motor neuropathy. Eur Radiol. doi:10.1007/s00330-016-4575-0

    PubMed  PubMed Central  Google Scholar 

  16. Landis JF, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33:159–174

    Article  CAS  PubMed  Google Scholar 

  17. Tesfaye S, Selvarajah D (2012) Advances in the epidemiology, pathogenesis and management of diabetic peripheral neuropathy. Diabetes Metab Res Rev 28:8–14

    Article  PubMed  Google Scholar 

  18. Pham M, Oikonomou D, Hornung B et al (2015) Magnetic resonance neurography detects diabetic neuropathy early and with proximal predominance. Ann Neurol 78:939–948

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Westerhausen R, Kreuder F, Sequeira SDS et al (2004) Effects of handedness and gender on macro- and microstructure of the corpus callosum and its subregions: a combined high-resolution and diffusion-tensor MRI study. Cognit Brain Res 21:418–426

    Article  Google Scholar 

  20. Tagliafico A, Calabrese M, Puntoni M et al (2001) Brachial plexus MR imaging: accuracy and reproducibility of DTI-derived measurements and fiber tractography at 3.0-T. Eur Radiol 21:1764–1771

    Article  Google Scholar 

  21. Wan Q, Wang S, Zhou J et al (2016) Evaluation of radiation-induced peripheral nerve injury in rabbits with MR neurography using diffusion tensor imaging and T2 measurements: correlation with histological and functional change. J Magn Reson Imaging 43:1492–1499

    Article  PubMed  Google Scholar 

  22. Chhabra A, Thakkar RS, Andreisek G et al (2013) Anatomic MR imaging and functional diffusion tensor imaging of peripheral nerve tumors and tumorlike conditions. Am J Neuroradiol 34:802–807

    Article  CAS  PubMed  Google Scholar 

  23. Zhou Y, Kumaravel M, Patel VS, Sheikh KA, Narayana PA (2012) Diffusion tensor imaging of forearm nerves in humans. J Magn Reson Imaging 36:920–927

    Article  PubMed  PubMed Central  Google Scholar 

  24. Kabakci N, Gurses B, Firat Z et al (2007) Diffusion tensor imaging and tractography of median nerve: normative diffusion values. Am J Roentgenol 189:923–927

    Article  Google Scholar 

  25. Stein D, Neufeld A, Pasternak O et al (2009) Diffusion tensor imaging of the median nerve in healthy and carpal tunnel syndrome subjects. J Magn Reson Imaging 29:657–662

    Article  PubMed  Google Scholar 

  26. Wang CK, Jou IM, Huang HW et al (2012) Carpal tunnel syndrome assessed with diffusion tensor imaging: comparison with electrophysiological studies of patents and healthy volunteers. Eur J Radiol 81:3378–3383

    Article  PubMed  Google Scholar 

  27. Breitenseher JB, Kranz G, Hold A et al (2015) MR neurography of ulnar nerve entrapment at the cubital tunnel: a diffusion tensor imaging study. Eur Radiol 25:1911–1918

    Article  PubMed  Google Scholar 

  28. Jengojan S, Kovar F, Breitenseher J, Weber M, Prayer D, Kasprian G (2015) Acute radial nerve entrapment at the spiral groove: detection by DTI-based neurography. Eur Radiol 25:1678–1683

    Article  PubMed  Google Scholar 

  29. Behse F (1997) Nerve biopsy and conduction studies in diabetic neuropathy. J Neurol 40:1072–1082

    Google Scholar 

  30. Jeantroux J, Kremer S, Lin XZ et al (2012) Diffusion tensor imaging of normal appearing white matter in neuromyelitis optica. J Neuroradiol 39:295–300

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The scientific guarantor of this publication is Bin Zhao. The authors declare no relationships with any companies whose products or services may be related to the subject matter of the article. The authors state that this work was supported by the National Natural Science Foundation of China under Grant Nos. 81371534 and 81671668. No complex statistical methods were necessary for this paper. Institutional review board approval was obtained. Written informed consent was obtained from all subjects (patients) in this study. No study subject or cohort was previously reported.

Methodology: prospective, case–control study, performed at one institution

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bin Zhao.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wu, C., Wang, G., Zhao, Y. et al. Assessment of tibial and common peroneal nerves in diabetic peripheral neuropathy by diffusion tensor imaging: a case control study. Eur Radiol 27, 3523–3531 (2017). https://doi.org/10.1007/s00330-016-4698-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-016-4698-3

Keywords

Navigation