M Vaeggemose1, W Haakma2, M Pham3, S Ringgaard4, H Tankisi5, N Ejskjaer6, S Heiland7, P L Poulsen8, H Andersen9. 1. Department of Neurology, Aarhus University Hospital, Denmark; Danish Diabetes Academy, Odense, Denmark. Electronic address: mivaeg@clin.au.dk. 2. Department of Radiology, University Medical Center Utrecht, Utrecht University, the Netherlands. 3. Department of Neuroradiology, Heidelberg University Hospital, Germany; Department of Neuroradiology, Würzburg University Hospital, Germany. 4. MR Research Centre, Aarhus University Hospital, Denmark. 5. Department of Clinical Neurophysiology, Aarhus University Hospital, Denmark. 6. Department of Clinical Medicine, Aalborg University Hospital, Denmark. 7. Department of Neuroradiology, Heidelberg University Hospital, Germany. 8. Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Denmark. 9. Department of Neurology, Aarhus University Hospital, Denmark; The International Diabetic Neuropathy Consortium, Aarhus University Hospital, Denmark.
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.
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.
Authors: Johann M E Jende; Christoph Mooshage; Zoltan Kender; Lukas Schimpfle; Alexander Juerchott; Sabine Heiland; Peter Nawroth; Martin Bendszus; Stefan Kopf; Felix T Kurz Journal: Ann Clin Transl Neurol Date: 2022-04-30 Impact factor: 5.430
Authors: Johann M E Jende; Zoltan Kender; Christoph Mooshage; Jan B Groener; Lucia Alvarez-Ramos; Jennifer Kollmer; Alexander Juerchott; Artur Hahn; Sabine Heiland; Peter Nawroth; Martin Bendszus; Stefan Kopf; Felix T Kurz Journal: Front Neurosci Date: 2021-03-03 Impact factor: 4.677
Authors: Johann M E Jende; Zoltan Kender; Jakob Morgenstern; Pascal Renn; Christoph Mooshage; Alexander Juerchott; Stefan Kopf; Peter P Nawroth; Martin Bendszus; Felix T Kurz Journal: Front Neurosci Date: 2022-01-24 Impact factor: 4.677
Authors: Matthew C Evans; Charles Wade; David Hohenschurz-Schmidt; Pete Lally; Albert Ugwudike; Kamal Shah; Neal Bangerter; David J Sharp; Andrew S C Rice Journal: Front Neurosci Date: 2021-09-21 Impact factor: 4.677
Authors: Katie Rubitschung; Amber Sherwood; Andrew P Crisologo; Kavita Bhavan; Robert W Haley; Dane K Wukich; Laila Castellino; Helena Hwang; Javier La Fontaine; Avneesh Chhabra; Lawrence Lavery; Orhan K Öz Journal: Int J Mol Sci Date: 2021-10-26 Impact factor: 5.923