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Article

Assessment of Lumbosacral Nerve Roots in Patients with Type 2 Diabetic Peripheral Neuropathy Using Diffusion Tensor Imaging

1
Department of Radiology, Peking University China-Japan Friendship School of Clinical Medicine, Yinghua Street 2, Chaoyang District, Beijing 100029, China
2
Department of Radiology, China-Japan Friendship Hospital, Yinghua Street 2, Chaoyang District, Beijing 100029, China
3
Department of Neurology, China-Japan Friendship Hospital, Yinghua Street 2, Chaoyang District, Beijing 100029, China
4
Department of Endocrinology, China-Japan Friendship Hospital, Yinghua Street 2, Chaoyang District, Beijing 100029, China
*
Author to whom correspondence should be addressed.
Brain Sci. 2023, 13(5), 828; https://doi.org/10.3390/brainsci13050828
Submission received: 21 April 2023 / Revised: 9 May 2023 / Accepted: 18 May 2023 / Published: 21 May 2023
(This article belongs to the Section Neurotechnology and Neuroimaging)

Abstract

Background: Diffusion tensor imaging (DTI) has found clinical applications in the evaluation of the central nervous system and has been extensively used to image peripheral neuropathy. However, few studies have focused on lumbosacral nerve root fiber damage in diabetic peripheral neuropathy (DPN). The aim of the study was to evaluate whether DTI of the lumbosacral nerve roots can be used to detect DPN. Methods: Thirty-two type 2 diabetic patients with DPN and thirty healthy controls (HCs) were investigated with a 3T MRI scanner. DTI with tractography of the L4, L5, and S1 nerve roots was performed. Anatomical fusion with the axial T2 sequences was used to provide correlating anatomical information. Mean fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values were measured from tractography images and compared between groups. Diagnostic value was assessed using receiver operating characteristic (ROC) analysis. The Pearson correlation coefficient was used to explore the correlation between DTI parameters and clinical data and the nerve conduction study (NCS) in the DPN group. Results: In the DPN group, FA was decreased (p < 0.001) and ADC was increased (p < 0.001) compared with the values of the HC group. FA displayed the best diagnostic accuracy, with an area under the ROC curve of 0.716. ADC was positively correlated with HbA1c level (r = 0.379, p = 0.024) in the DPN group. Conclusions: DTI of lumbosacral nerve roots demonstrates appreciable diagnostic accuracy in patients with DPN.
Keywords: diabetic peripheral neuropathy; lumbosacral nerve roots; magnetic resonance imaging; diffusion tensor imaging; tractography diabetic peripheral neuropathy; lumbosacral nerve roots; magnetic resonance imaging; diffusion tensor imaging; tractography

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MDPI and ACS Style

Chen, H.; Xu, Y.; Wang, W.; Deng, R.; Li, Z.; Xie, S.; Jiao, J. Assessment of Lumbosacral Nerve Roots in Patients with Type 2 Diabetic Peripheral Neuropathy Using Diffusion Tensor Imaging. Brain Sci. 2023, 13, 828. https://doi.org/10.3390/brainsci13050828

AMA Style

Chen H, Xu Y, Wang W, Deng R, Li Z, Xie S, Jiao J. Assessment of Lumbosacral Nerve Roots in Patients with Type 2 Diabetic Peripheral Neuropathy Using Diffusion Tensor Imaging. Brain Sciences. 2023; 13(5):828. https://doi.org/10.3390/brainsci13050828

Chicago/Turabian Style

Chen, He, Yanyan Xu, Wei Wang, Ruifen Deng, Zhaoqing Li, Sheng Xie, and Jinsong Jiao. 2023. "Assessment of Lumbosacral Nerve Roots in Patients with Type 2 Diabetic Peripheral Neuropathy Using Diffusion Tensor Imaging" Brain Sciences 13, no. 5: 828. https://doi.org/10.3390/brainsci13050828

APA Style

Chen, H., Xu, Y., Wang, W., Deng, R., Li, Z., Xie, S., & Jiao, J. (2023). Assessment of Lumbosacral Nerve Roots in Patients with Type 2 Diabetic Peripheral Neuropathy Using Diffusion Tensor Imaging. Brain Sciences, 13(5), 828. https://doi.org/10.3390/brainsci13050828

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