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Related Experiment Video

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Diffusion tensor imaging MR Neurography detects polyneuropathy in type 2 diabetes.

M Vaeggemose1, W Haakma2, M Pham3

  • 1Department of Neurology, Aarhus University Hospital, Denmark; Danish Diabetes Academy, Odense, Denmark.

Journal of Diabetes and Its Complications
|November 2, 2019
PubMed
Summary

Diffusion-tensor-imaging MR-Neurography (DTI-MRN) detects diabetic polyneuropathy (DPN) by identifying lower nerve fractional anisotropy (FA) and higher radial diffusivity (RD). This imaging technique reveals nerve fiber damage in patients with type 2 diabetes.

Keywords:
DiabetesDiffusion tensor imagingMagnetic resonance neurographyNeuropathyReceiver operating characteristicsType 2 diabetes

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Area of Science:

  • Neuroimaging
  • Diabetology
  • Neurology

Background:

  • Type 2 diabetes is frequently associated with peripheral nerve damage, known as diabetic polyneuropathy (DPN).
  • Accurate detection of DPN is crucial for patient management and understanding disease progression.
  • Current diagnostic methods may have limitations in fully characterizing nerve pathology.

Purpose of the Study:

  • To evaluate the efficacy of diffusion-tensor-imaging MR-Neurography (DTI-MRN) in detecting peripheral nerve lesions in patients with type 2 diabetes and DPN.
  • To compare DTI-MRN findings with neuropathy severity and conventional MRI techniques.

Main Methods:

  • Inclusion of three groups: patients with type 2 diabetes and DPN, patients with type 2 diabetes without DPN, and healthy controls.
  • DTI-MRN imaging of proximal (sciatic) and distal (tibial) nerves in the lower extremity.
  • Calculation of diffusion parameters (FA, MD, AD, RD) and comparison with neuropathy severity; evaluation of conventional MRI sequences and ROC analysis.

Main Results:

  • Patients with DPN exhibited significantly lower proximal and distal FA and higher proximal and distal RD compared to non-DPN patients and controls.
  • Diffusion tensor imaging (DTI) demonstrated high accuracy in differentiating DPN from non-DPN, with area-under-the-curve values ranging from 0.65 to 0.98.
  • Conventional T2-relaxation-time and proton-spin-density MRI could not distinguish between DPN and non-DPN groups.

Conclusions:

  • DTI-MRN is an accurate method for detecting DPN in patients with type 2 diabetes.
  • Reduced nerve FA and increased RD are key DTI-MRN indicators of DPN.
  • These findings suggest that DTI-MRN reflects both proximal and distal nerve fiber pathology in diabetic polyneuropathy.