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Peripheral neuropathy: detection with diffusion-tensor imaging.

Philipp Bäumer1, Mirko Pham, Maurice Ruetters

  • 1From the Department of Neuroradiology (P.B., M.P., M.R., A.H., A.R., M.B.), Section of Experimental Neuroradiology, Department of Neuroradiology (S.H.), and Department of Neurology (M.W.), Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany; and Clinical Cooperation Unit Neurooncology, German Cancer Research Center, Heidelberg, Germany (M.W.).

Radiology
|May 22, 2014
PubMed
Summary
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Diffusion-tensor imaging (DTI) can detect mild peripheral nerve damage, outperforming T2-weighted imaging. Fractional anisotropy (FA) maps from DTI accurately identify subclinical ulnar neuropathy, showing significant correlation with nerve conduction velocities.

Area of Science:

  • Neuroimaging
  • Neurology
  • Medical Physics

Background:

  • Subclinical peripheral neuropathy is challenging to detect with current methods.
  • Early detection of nerve damage is crucial for timely intervention and management.

Purpose of the Study:

  • To evaluate the efficacy of diffusion-tensor imaging (DTI) and T2-weighted imaging in detecting the earliest signs of nerve damage.
  • Specifically, to identify subclinical ulnar neuropathy at the elbow.

Main Methods:

  • Prospective study involving 30 healthy subjects.
  • Magnetic resonance neurography using 3.0 T scanner with T2-weighted relaxometry and DTI.
  • Quantitative analysis of ulnar nerve T2 values and fractional anisotropy (FA).
  • Correlation of DTI and T2 values with electrophysiological nerve conduction velocities (NCVs).

Related Experiment Videos

Main Results:

  • 33% of subjects exhibited NCV slowing, indicating subclinical neuropathy.
  • Subjects with NCV slowing showed significantly decreased FA values (P = .006) and increased T2 values (P = .01) in the ulnar sulcus.
  • FA values correlated significantly with NCV slowing (P = .01), reflecting myelin sheath damage.
  • Qualitative assessment revealed 80% sensitivity and 83% specificity for FA maps in detecting conduction slowing.

Conclusions:

  • Fractional anisotropy (FA) maps derived from DTI are effective in accurately depicting mild peripheral neuropathy.
  • DTI demonstrates superior diagnostic performance compared to T2-weighted imaging for detecting subclinical ulnar neuropathy.
  • DTI offers a highly sensitive technique for diagnosing peripheral nerve damage.