The aim of this study was to determine whether quantitative diffusion tensor imaging (DTI) adds diagnostic accuracy in magnetic resonance neurography.
This prospective study was approved by the institutional review board. We enrolled 16 patients with peripheral polyneuropathy of various etiologies involving the upper arm and 30 healthy controls. Magnetic resonance neurography was performed at 3 T using transverse T2-weighted (T2-w) turbo spin echo and spin echo planar imaging diffusion-weighted sequences. T2-weighted normalized signal (nT2), fractional anisotropy (FA), apparent diffusion coefficient (ADC), radial diffusivity (RD), and axial diffusivity (AD) of the median, ulnar, and radial nerves were quantified after manual segmentation. Diagnostic performance of each separate parameter and combinations of parameters was assessed using the area under the receiver operating characteristic curve (AUC). Bootstrap validation was used to adjust for potential overfitting.
Average nT2, ADC, RD, and AD values of the median, ulnar, and radial nerve were significantly increased in neuropathy patients compared with that in healthy controls (nT2, 1.49 ± 0.05 vs 1.05 ± 0.05; ADC, 1.4 × 10−3 ± 2.8 × 10−5 mm2/s vs 1.1 × 10−3 ± 1.3 × 10−5 mm2/s; RD, 9.5 × 10−4 ± 2.9 × 10−5 mm2/s vs 7.2 × 10−4 ± 1.3 × 10−5 mm2/s; AD, 2.3 × 10−3 ± 3.7 × 10−5 mm2/s vs 2.0 × 10−3 ± 2.2 × 10−5 mm2/s; P < 0.001 for all comparisons). Fractional anisotropy values were significantly decreased in patients (0.51 ± 0.01 vs 0.59 ± 0.01; P < 0.001). T2-weighted normalized signal and DTI parameters had comparable diagnostic accuracy (adjusted AUC: T2-w, 0.92; FA, 0.88; ADC, 0.89; AD, 0.84; RD, 0.86). Combining DTI parameters significantly improved the diagnostic accuracy over single-parameter analysis. In addition, the combination of nT2 with DTI parameters yielded excellent adjusted AUCs up to 0.97 (nT2 + FA).
Diffusion tensor imaging has high diagnostic accuracy in peripheral neuropathy. Combining DTI with T2 can outperform T2-w imaging alone and provides added value in magnetic resonance neurography.
Supplemental digital content is available in the text.
From the *Department of Neuroradiology, Heidelberg University Hospital, †Institute of Medical Biometry and Informatics, and ‡Section of Experimental Radiology, Heidelberg University Hospital, University of Heidelberg, Heidelberg, Germany.
Received for publication January 14, 2015; and accepted for publication, after revision, February 18, 2015.
Conflicts of interest and sources of funding: M.O.B., A.H., and P.B. were supported by a postdoctoral stipend (physician-scientist fellowship) by the Medical Faculty of the University of Heidelberg, Germany. M.P. is supported by a memorial stipend from the Else-Kröner-Fresenius foundation and has received a project grant from the EFSD/JDRF/Novo Nordisk Foundation.
The authors report no conflicts of interest.
Supplemental digital contents are available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal's Web site (www.investigativeradiology.com)
Reprints: Michael O. Breckwoldt, MD, PhD, Department of Neuroradiology, Heidelberg University Hospital, Heidelberg University, Im Neuenheimer Feld 400, D-69120, Heidelberg, Germany. E-mail: firstname.lastname@example.org.