Diffusion tensor imaging MR Neurography detects polyneuropathy in type 2 diabetes
Aim - To evaluate if diffusion-tensor-imaging MR-Neurography (DTI-MRN) can detect lesions of peripheral nerves due to polyneuropathy in patients with type 2 diabetes. - Methods - Ten patients with type 2 diabetes with polyneuropathy (DPN), 10 patients with type 2 diabetes without polyneuropathy (nDP...
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| Hauptverfasser: | , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
[February 2020]
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| In: |
Journal of diabetes and its complications
Year: 2019, Jahrgang: 34, Heft: 2 |
| ISSN: | 1873-460X |
| DOI: | 10.1016/j.jdiacomp.2019.107439 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.jdiacomp.2019.107439 Verlag, lizenzpflichtig, Volltext: http://www.sciencedirect.com/science/article/pii/S1056872718307268 
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| Verfasserangaben: | M. Vaeggemose, W. Haakma, M. Pham, S. Ringgaard, H. Tankisi, N. Ejskjaer, S. Heiland, P.L. Poulsen, H. Andersen |
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| 245 | 1 | 0 | |a Diffusion tensor imaging MR Neurography detects polyneuropathy in type 2 diabetes |c M. Vaeggemose, W. Haakma, M. Pham, S. Ringgaard, H. Tankisi, N. Ejskjaer, S. Heiland, P.L. Poulsen, H. Andersen |
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| 520 | |a Aim - To evaluate if diffusion-tensor-imaging MR-Neurography (DTI-MRN) can detect lesions of peripheral nerves due to polyneuropathy in patients with type 2 diabetes. - Methods - Ten patients with type 2 diabetes with polyneuropathy (DPN), 10 patients with type 2 diabetes without polyneuropathy (nDPN) as well as 20 healthy controls (HC) were included. DTI-MRN covered proximal (sciatic nerve) and distal regions (tibial nerve) of the lower extremity. Fractional-anisotropy (FA) and diffusivity (mean (MD), axial (AD) and radial (RD)) were calculated and compared to neuropathy severity. Conventional T2-relaxation-time and proton-spin-density data were obtained from a multi-echo SE sequence. Furthermore, we evaluated sensitivity and specificity of DTI-MRN from receiver operating characteristics (ROC). - Results - The proximal and distal FA was lowest in patients with DPN compared with nDPN and HC (p<0.01). Likewise, proximal and distal RD was highest in patients with DPN (p<0.01). MD and AD were also significantly different though less pronounced. ROC curve analyses of DTI separated nDPN and DPN with area-under-the-curve values ranging from 0.65 to 0.98. T2-relaxation-time and proton-spin-density could not differentiate between nDPN and DPN. - Conclusion - DTI-MRN accurately detects DPN by lower nerve FA and higher RD. These alterations are likely to reflect both proximal and distal nerve fiber pathology in patients with type 2 diabetes. | ||
| 534 | |c 2019 | ||
| 650 | 4 | |a Diabetes | |
| 650 | 4 | |a Diffusion tensor imaging | |
| 650 | 4 | |a Magnetic resonance neurography | |
| 650 | 4 | |a Neuropathy | |
| 650 | 4 | |a Receiver operating characteristics | |
| 650 | 4 | |a Type 2 diabetes | |
| 700 | 1 | |a Haakma, W. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Pham, M. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Ringgaard, S. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Tankisi, H. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Ejskjaer, N. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Heiland, Sabine |e VerfasserIn |0 (DE-588)106732626X |0 (DE-627)818624450 |0 (DE-576)426561368 |4 aut | |
| 700 | 1 | |a Poulsen, P. L. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Andersen, H. |e VerfasserIn |4 aut | |
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