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Current Medical Imaging

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ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

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Research Article

Application of Magnetic Resonance Diffusion Tensor Imaging in Diagnosis of Lumbosacral Nerve Root Compression

Author(s): Haiyan Cheng, Honglin Lan*, Yuanyuan Bao and Liqiang Yin

Volume 20, 2024

Published on: 07 July, 2023

Article ID: e120623217889 Pages: 8

DOI: 10.2174/1573405620666230612122725

Price: $65

Abstract

Objective: The aim of this study was to assess the value of 3.0T magnetic resonance (MR) Diffusion tensor imaging (DTI) in the diagnosis of lumbosacral nerve root compression.

Methods: The radiology reports, and clinical records of 34 patients with nerve root compression caused by lumbar disc herniation or bulging and 21 healthy volunteers who had undergone magnetic resonance imaging (MRI) and DTI scan were retrospectively reviewed. The differences in fractional anisotropy (FA) and apparent diffusion coefficient (ADC) between compressed and non-compressed nerve roots from patients and the normal nerve roots from healthy volunteers were compared. Meanwhile, the nerve root fiber bundles were observed and analyzed.

Results: The average FA and ADC values of the compressed nerve roots were 0.254 ± 0.307 and 1.892 ± 0.346 10^-3mm2/s, respectively. The average FA and ADC values of the non-compressed nerve roots were 0.377 ± 0.659 and 1.353 ± 0.344 10^-3mm2/s, respectively. The FA value of compressed nerve roots was significantly lower than that of non-compressed nerve roots (P < 0.01). The ADC value of compressed nerve roots was significantly higher than that of non-compressed nerve roots. There were no significant differences between the left and right nerve roots of normal volunteers in FA and ADC values (P > 0.05). The nerve roots at different levels of L3-S1 had significantly different FA and ADC values (P < 0.01). Incomplete fiber bundles with extrusion deformation, displacement or partial defect were observed in the compressed nerve root fiber bundles. The real diagnosis of the clinical situation of the nerve can provide neuroscientists with an important computer tool to help them infer and understand the possible working mechanism from the experimental data of behavior and electrophysiology.

Conclusion: The compressed lumbosacral nerve roots can be accurately localized through 3.0T magnetic resonance DTI, which is instructive for accurate clinical diagnosis and preoperative localization.

[1]
Chhabra A, Zhao L, Carrino JA, et al. MR Neurography: Advances. Radiol Res Pract 2013; 2013: 1-14.
[http://dx.doi.org/10.1155/2013/809568] [PMID: 23589774]
[2]
Wang W, Yang H, Guo L, Su H, Wei S, Zhang X. Radiation-induced optic neuropathy following external beam radiation therapy for nasopharyngeal carcinoma: A retrospective case-control study. Mol Clin Oncol 2016; 4(5): 868-72.
[http://dx.doi.org/10.3892/mco.2016.787] [PMID: 27123298]
[3]
Danesh-Meyer HV. Radiation-induced optic neuropathy. J Clin Neurosci 2008; 15(2): 95-100.
[http://dx.doi.org/10.1016/j.jocn.2007.09.004] [PMID: 18068989]
[4]
Akai H, Mori H, Aoki S, et al. Diffusion tensor tractography of gliomatosis cerebri: Fiber tracking through the tumor. J Comput Assist Tomogr 2005; 29(1): 127-9.
[http://dx.doi.org/10.1097/01.rct.0000148453.29579.51] [PMID: 15665698]
[5]
Balbi V, Budzik JF, Duhamel A, Bera-Louville A, Le Thuc V, Cotten A. Tractography of lumbar nerve roots: Initial results. Eur Radiol 2011; 21(6): 1153-9.
[http://dx.doi.org/10.1007/s00330-010-2049-3] [PMID: 21240648]
[6]
Deo AA, Grill RJ, Hasan KM, Narayana PA. In vivo serial diffusion tensor imaging of experimental spinal cord injury. J Neurosci Res 2006; 83(5): 801-10.
[http://dx.doi.org/10.1002/jnr.20783] [PMID: 16456864]
[7]
Stein D, Neufeld A, Pasternak O, et al. Diffusion tensor imaging of the median nerve in healthy and carpal tunnel syndrome subjects. J Magn Reson Imaging 2009; 29(3): 657-62.
[http://dx.doi.org/10.1002/jmri.21553] [PMID: 19243048]
[8]
Badr M, Al-Otaibi S, Alturki N, Abir T. Deep learning-based networks for detecting anomalies in chest X-Rays. BioMed Res Int 2022; 2022: 1-10.
[http://dx.doi.org/10.1155/2022/7833516] [PMID: 35915789]
[9]
Wang W, Qin W, Hao N, Wang Y, Zong G. Diffusion tensor imaging in spinal cord compression. Acta Radiol 2012; 53(8): 921-8.
[http://dx.doi.org/10.1258/ar.2012.120271] [PMID: 22893728]
[10]
Eguchi Y, Ohtori S, Orita S, et al. Quantitative evaluation and visualization of lumbar foraminal nerve root entrapment by using diffusion tensor imaging: Preliminary results. AJNR Am J Neuroradiol 2011; 32(10): 1824-9.
[http://dx.doi.org/10.3174/ajnr.A2681] [PMID: 21920866]
[11]
Eguchi Y, Oikawa Y, Suzuki M, et al. Diffusion tensor imaging of radiculopathy in patients with lumbar disc herniation. Bone Joint J 2016; 98-B(3): 387-94.
[http://dx.doi.org/10.1302/0301-620X.98B3.36036] [PMID: 26920965]
[12]
Chuanting L, Qingzheng W, Wenfeng X, Yiyi H, Bin Z. 3.0T MRI tractography of lumbar nerve roots in disc herniation. Acta Radiol 2014; 55(8): 969-75.
[http://dx.doi.org/10.1177/0284185113508179] [PMID: 24132770]
[13]
Mac Donald CL, Dikranian K, Bayly P, Holtzman D, Brody D. Diffusion tensor imaging reliably detects experimental traumatic axonal injury and indicates approximate time of injury. J Neurosci 2007; 27(44): 11869-76.
[http://dx.doi.org/10.1523/JNEUROSCI.3647-07.2007] [PMID: 17978027]
[14]
Abdullah Hamad A, Thivagar ML, Bader Alazzam M, Alassery F, Hajjej F, Shihab AA. Applying dynamic systems to social media by using controlling stability. Comput Intell Neurosci 2022; 2022: 1-7.
[http://dx.doi.org/10.1155/2022/4569879] [PMID: 35222627]
[15]
Hattingen E, Rathert J, Jurcoane A, et al. A standardised evaluation of pre-surgical imaging of the corticospinal tract: Where to place the seed ROI. Neurosurg Rev 2009; 32(4): 445-56.
[http://dx.doi.org/10.1007/s10143-009-0197-1] [PMID: 19437053]
[16]
Moodley A, Rae WID, Brijmohan Y, et al. The impact of optic nerve movement on optic nerve magnetic resonance diffusion parameters. SA J Radiol 2014; 18(1)
[http://dx.doi.org/10.4102/sajr.v18i1.596]
[17]
Hori M, Okubo T, Aoki S, Kumagai H, Araki T. Line scan diffusion tensor MRI at low magnetic field strength: Feasibility study of cervical spondylotic myelopathy in an early clinical stage. J Magn Reson Imaging 2006; 23(2): 183-8.
[http://dx.doi.org/10.1002/jmri.20488] [PMID: 16374879]
[18]
Alazzam MB, Al-Radaideh AT, Alhamarnah RA, Alassery F, Hajjej F, Halasa A. A survey research on the willingness of gynecologists to employ mobile health applications. Comput Intell Neurosci 2021; 2021: 1-7.
[http://dx.doi.org/10.1155/2021/1220374] [PMID: 35047026]
[19]
Douglas VP, Douglas KAA, Cestari DM. Optic nerve sheath meningioma. Curr Opin Ophthalmol 2020; 31(6): 455-61.
[http://dx.doi.org/10.1097/ICU.0000000000000700] [PMID: 33009076]
[20]
Bastin ME, Le Roux P. On the application of a non-CPMG single-shot fast spin-echo sequence to diffusion tensor MRI of the human brain. Magn Reson Med 2002; 48(1): 6-14.
[http://dx.doi.org/10.1002/mrm.10214] [PMID: 12111926]
[21]
Saeed P, Rootman J, Nugent RA, White VA, Mackenzie IR, Koornneef L. Optic nerve sheath meningiomas. Ophthalmology 2003; 110(10): 2019-30.
[http://dx.doi.org/10.1016/S0161-6420(03)00787-5] [PMID: 14522782]
[22]
Eguchi Y, Ohtori S, Yamashita M, et al. Diffusion-weighted magnetic resonance imaging of symptomatic nerve root of patients with lumbar disk herniation. Neuroradiology 2011; 53(9): 633-41.
[http://dx.doi.org/10.1007/s00234-010-0801-7] [PMID: 21080158]

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