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Verfasst von:Vaeggemose, Michael [VerfasserIn]   i
 Haakma, W. [VerfasserIn]   i
 Pham, M. [VerfasserIn]   i
 Ringgaard, S. [VerfasserIn]   i
 Tankisi, H. [VerfasserIn]   i
 Ejskjaer, N. [VerfasserIn]   i
 Heiland, Sabine [VerfasserIn]   i
 Poulsen, P. L. [VerfasserIn]   i
 Andersen, H. [VerfasserIn]   i
Titel:Diffusion tensor imaging MR Neurography detects polyneuropathy in type 2 diabetes
Verf.angabe:M. Vaeggemose, W. Haakma, M. Pham, S. Ringgaard, H. Tankisi, N. Ejskjaer, S. Heiland, P.L. Poulsen, H. Andersen
E-Jahr:2020
Jahr:[February 2020]
Jahr des Originals:2019
Umfang:6 S.
Illustrationen:Diagramme
Fussnoten:Available online 12 September 2019 ; Gesehen am 30.03.2020
Titel Quelle:Enthalten in: Journal of diabetes and its complications
Ort Quelle:Amsterdam [u.a.] : Elsevier Science, 1992
Jahr Quelle:2020
Band/Heft Quelle:34 (2020,2) Artikel-Nummer 107439, Seite 1-6
ISSN Quelle:1873-460X
Abstract: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.
DOI:doi:10.1016/j.jdiacomp.2019.107439
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext ; Verlag: https://doi.org/10.1016/j.jdiacomp.2019.107439
 Volltext: http://www.sciencedirect.com/science/article/pii/S1056872718307268
 DOI: https://doi.org/10.1016/j.jdiacomp.2019.107439
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Diabetes
 Diffusion tensor imaging
 Magnetic resonance neurography
 Neuropathy
 Receiver operating characteristics
 Type 2 diabetes
K10plus-PPN:1693515962
Verknüpfungen:→ Zeitschrift

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