Diffusion tensor imaging MR neurography for the detection of polyneuropathy in type 1 diabetes

Abstract

Purpose: To evaluate if diffusion tensor imaging MR neurography (DTI-MRN) can detect lesions of peripheral nerves in patients with type 1 diabetes.

Materials and methods: Eleven type 1 diabetic patients with polyneuropathy (DPN), 10 type 1 diabetic patients without polyneuropathy (nDPN), and 10 healthy controls (HC) were investigated with a 3T MRI scanner. Clinical examinations, nerve-conduction studies, and vibratory-perception thresholds determined the presence of DPN. DTI-MRN (voxel size: 1.4 × 1.4 × 3 mm³ ; b-values: 0, 800 s/mm² ) covered proximal (sciatic nerve) and distal regions of the lower extremity (tibial nerve). Fractional anisotropy (FA) and apparent diffusion coefficient (ADC) were calculated and compared to T₂ -relaxometry and proton-spin density obtained from a multiecho turbo spin echo (TSE) sequence. Furthermore, we evaluated DTI reproducibility, repeatability, and diagnostic accuracy.

Results: DTI-MRN could accurately discriminate between DPN, nDPN, and HC. The proximal FA was lowest in DPN (DPN 0.37 ± 0.06; nDPN 0.47 ± 0.03; HC 0.49 ± 0.06; P < 0.01). In addition, distal FA was lowest in DPN (DPN 0.31 ± 0.05; nDPN 0.41 ± 0.07; HC 0.43 ± 0.08; P < 0.01). Likewise, proximal ADC was highest in DPN (DPN 1.69 ± 0.25 × 10^-3 mm² /s; nDPN 1.50 ± 0.06 × 10^-3 mm² /s; HC 1.42 ± 0.12 × 10^-3 mm² /s; P < 0.01) as was distal ADC (DPN 1.87 ± 0.45 × 10^-3 mm² /s; nDPN 1.59 ± 0.19 × 10^-3 mm² /s; HC 1.57 ± 0.26 × 10^-3 mm² /s; P = 0.09). The combined interclass-correlation (ICC) coefficient of DTI reproducibility and repeatability was high in the sciatic nerve (ICC: FA = 0.86; ADC = 0.85) and the tibial nerve (ICC: FA = 0.78; ADC = 0.66). T₂ -relaxometry and proton-spin-density did not enable detection of neuropathy.

Conclusion: DTI-MRN accurately detects DPN by lower nerve FA and higher ADC. These alterations are likely to reflect proximal and distal nerve fiber pathology.

Level of evidence: 1 J. Magn. Reson. Imaging 2017;45:1125-1134.

Keywords: diabetes; diffusion tensor imaging; magnetic resonance neurography; neuropathy; repeatability; reproducibility.