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.
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
Vinik AI, Nevoret ML, Casellini C, Parson H (2013) Diabetic neuropathy. Endocrinol Metab Clin N Am 42:747–787
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
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
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
Chhabra A, Faridian-Aragh N (2012) High-resolution 3-T MR neurography of femoral neuropathy. AJR Am J Roentgenol 198:3–10
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
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
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
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
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
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
Breckwoldt MO, Stock C, Xia A et al (2015) Diffusion tensor imaging adds diagnostic accuracy in magnetic resonance neurography. Invest Radiol 50:498–504
Preston DC, Shapiro BE (2012) Electromyography and neuromuscular disorders: clinical-electrophysiologic correlations, 3rd edn. Elsevier, Amsterdam
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
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
Landis JF, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33:159–174
Tesfaye S, Selvarajah D (2012) Advances in the epidemiology, pathogenesis and management of diabetic peripheral neuropathy. Diabetes Metab Res Rev 28:8–14
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
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
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
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
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
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
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
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
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
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
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
Behse F (1997) Nerve biopsy and conduction studies in diabetic neuropathy. J Neurol 40:1072–1082
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
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
Corresponding author
Rights and permissions
About this article
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
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00330-016-4698-3