Literature DB >> 25850359

Diffusion Tensor Imaging Adds Diagnostic Accuracy in Magnetic Resonance Neurography.

Michael O Breckwoldt1, Christian Stock, Annie Xia, Andreas Heckel, Martin Bendszus, Mirko Pham, Sabine Heiland, Philipp Bäumer.   

Abstract

OBJECTIVE: The aim of this study was to determine whether quantitative diffusion tensor imaging (DTI) adds diagnostic accuracy in magnetic resonance neurography.
MATERIALS AND METHODS: 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.
RESULTS: 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) mm(2)/s vs 1.1 × 10(-3) ± 1.3 × 10(-5) mm(2)/s; RD, 9.5 × 10(-4) ± 2.9 × 10(-5) mm(2)/s vs 7.2 × 10(-4) ± 1.3 × 10(-5) mm(2)/s; AD, 2.3 × 10(-3) ± 3.7 × 10(-5) mm(2)/s vs 2.0 × 10(-3) ± 2.2 × 10(-5) mm(2)/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).
CONCLUSIONS: 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.

Entities:  

Mesh:

Year:  2015        PMID: 25850359     DOI: 10.1097/RLI.0000000000000156

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  20 in total

1.  Analysis of radiological parameters associated with decreased fractional anisotropy values on diffusion tensor imaging in patients with lumbar spinal stenosis.

Authors:  Xiandi Wang; Hongli Wang; Chi Sun; Shuyi Zhou; Tao Meng; Feizhou Lv; Xiaosheng Ma; Xinlei Xia; Jianyuan Jiang
Journal:  Eur Spine J       Date:  2018-04-26       Impact factor: 3.134

Review 2.  Magnetic resonance neurography: current perspectives and literature review.

Authors:  Avneesh Chhabra; Ananth J Madhuranthakam; Gustav Andreisek
Journal:  Eur Radiol       Date:  2017-07-14       Impact factor: 5.315

Review 3.  [Diagnostic criteria in MR neurography].

Authors:  P Bäumer
Journal:  Radiologe       Date:  2017-03       Impact factor: 0.635

4.  Diffusion tensor imaging can be used to detect lesions in peripheral nerves in patients with chronic inflammatory demyelinating polyneuropathy treated with subcutaneous immunoglobulin.

Authors:  Lars H Markvardsen; Michael Vaeggemose; Steffen Ringgaard; Henning Andersen
Journal:  Neuroradiology       Date:  2016-04-25       Impact factor: 2.804

5.  Kinetic DTI of the cervical spine: diffusivity changes in healthy subjects.

Authors:  Félix P Kuhn; Antoine Feydy; Nathalie Launay; Marie-Martine Lefevre-Colau; Serge Poiraudeau; Sébastien Laporte; Marc A Maier; Pavel Lindberg
Journal:  Neuroradiology       Date:  2016-06-08       Impact factor: 2.804

6.  Assessment of tibial and common peroneal nerves in diabetic peripheral neuropathy by diffusion tensor imaging: a case control study.

Authors:  Chao Wu; Guangbin Wang; Yunxia Zhao; Wen Hao; Lianxin Zhao; Xinjuan Zhang; Jinfeng Cao; Shanshan Wang; Weibo Chen; Queenie Chan; Bin Zhao; Avneesh Chhabra
Journal:  Eur Radiol       Date:  2016-12-21       Impact factor: 5.315

7.  Peripheral nerve diffusion tensor imaging (DTI): normal values and demographic determinants in a cohort of 60 healthy individuals.

Authors:  Moritz Kronlage; Véronique Schwehr; Daniel Schwarz; Tim Godel; Lorenz Uhlmann; Sabine Heiland; Martin Bendszus; Philipp Bäumer
Journal:  Eur Radiol       Date:  2017-12-11       Impact factor: 5.315

Review 8.  Quantitative magnetic resonance (MR) neurography for evaluation of peripheral nerves and plexus injuries.

Authors:  Teodoro Martín Noguerol; Rafael Barousse; Mariano Socolovsky; Antonio Luna
Journal:  Quant Imaging Med Surg       Date:  2017-08

Review 9.  Declining Skeletal Muscle Function in Diabetic Peripheral Neuropathy.

Authors:  Prodromos Parasoglou; Smita Rao; Jill M Slade
Journal:  Clin Ther       Date:  2017-05-30       Impact factor: 3.393

10.  Facial nerve tractography: A new tool for the detection of perineural spread in parotid cancers.

Authors:  René-Charles Rouchy; Arnaud Attyé; Maud Medici; Félix Renard; Adrian Kastler; Sylvie Grand; Irène Tropres; Christian Adrien Righini; Alexandre Krainik
Journal:  Eur Radiol       Date:  2018-04-09       Impact factor: 5.315

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