Current issue
Archive
Manuscripts accepted
About the Journal
Editorial office
Editorial board
Section Editors
Abstracting and indexing
Subscription
Contact
Ethical standards and procedures
Most read articles
Instructions for authors
Article Processing Charge (APC)
Regulations of paying article processing charge (APC)
NEUROSURGERY / CLINICAL RESEARCH
Microstructural changes in postoperative cervical cords with cervical spondylotic myelopathy evaluated by neurite orientation dispersion and density imaging: a preliminary study
1
Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
2
Department of Spine Surgery, Beijing Jishuitan Hospital, Beijing, China
3
Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
Submission date: 2019-12-29
Final revision date: 2020-02-23
Acceptance date: 2020-02-29
Online publication date: 2020-04-15
Publication date: 2025-04-23
Corresponding author
Xiaoguang Cheng
Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
Arch Med Sci 2025;21(2):487-493
KEYWORDS
degenerative cervical myelopathydiffusion magnetic resonance imagingreduced cross section areaT2 high signal intensity
TOPICS
ABSTRACT
Introduction:
NNeurite orientation dispersion and density imaging (NODDI) is a new diffusion magnetic resonance imaging technique that can provide specific microstructural evaluation including nervous tissue density, free water fraction, and neurite orientation dispersion. In this study, we explored the microstructural changes in reduced area (RA) and T2 high signal intensity (T2-HSI) postoperative cervical cords with cervical spondylotic myelopathy (CSM) by NODDI.
Material and methods:
A prospective study. CSM patients with surgery planned were recruited in Beijing Jishuitan Hospital from September 2016 to March 2017 (excluding other cervical spondylosis and spinal diseases and postoperative stenosis) and underwent postoperative NODDI scans and modified Japanese Orthopaedic Association (mJOA) scoring. The patients were divided into RA and T2-HSI, normal area (NA) and T2-HSI, and NA and non-T2HSI groups. The differences in NODDI metrics and mJOA score between different groups were assessed respectively.
Results:
Nervous tissue density in cervical cords with postoperative constant RA was decreased (RA-T2HSI (0.510, 0.330–0.670) vs. NA-T2HSI (0.585, 0.380–0.870) (p = 0.019), RA-T2HSI vs. NA-nT2HSI (0.620, 0.460–0.770) (p = 0.003)), and a certain degree of free water increase and nervous tissue density decline was observed in postoperative cervical cords with T2-HSI, even if not all of the outcomes were very significant. Moreover, the postoperative mJOA score in combined RA and T2-HSI was lower than that in single T2-HSI.
Conclusions:
The microstructural changes in postoperative RA and T2-HSI cervical cords could be evaluated by NODDI metrics and RA and T2-HSI were useful as brief evaluations for postoperative CSM cervical cords.
NNeurite orientation dispersion and density imaging (NODDI) is a new diffusion magnetic resonance imaging technique that can provide specific microstructural evaluation including nervous tissue density, free water fraction, and neurite orientation dispersion. In this study, we explored the microstructural changes in reduced area (RA) and T2 high signal intensity (T2-HSI) postoperative cervical cords with cervical spondylotic myelopathy (CSM) by NODDI.
Material and methods:
A prospective study. CSM patients with surgery planned were recruited in Beijing Jishuitan Hospital from September 2016 to March 2017 (excluding other cervical spondylosis and spinal diseases and postoperative stenosis) and underwent postoperative NODDI scans and modified Japanese Orthopaedic Association (mJOA) scoring. The patients were divided into RA and T2-HSI, normal area (NA) and T2-HSI, and NA and non-T2HSI groups. The differences in NODDI metrics and mJOA score between different groups were assessed respectively.
Results:
Nervous tissue density in cervical cords with postoperative constant RA was decreased (RA-T2HSI (0.510, 0.330–0.670) vs. NA-T2HSI (0.585, 0.380–0.870) (p = 0.019), RA-T2HSI vs. NA-nT2HSI (0.620, 0.460–0.770) (p = 0.003)), and a certain degree of free water increase and nervous tissue density decline was observed in postoperative cervical cords with T2-HSI, even if not all of the outcomes were very significant. Moreover, the postoperative mJOA score in combined RA and T2-HSI was lower than that in single T2-HSI.
Conclusions:
The microstructural changes in postoperative RA and T2-HSI cervical cords could be evaluated by NODDI metrics and RA and T2-HSI were useful as brief evaluations for postoperative CSM cervical cords.
REFERENCES (27)
1.
Kalsi-Ryan S, Karadimas SK, Fehlings MG. Cervical spondylotic myelopathy: the clinical phenomenon and the current pathobiology of an increasingly prevalent and devastating disorder. Neuroscientist 2013; 19: 409-21.
2.
Morio Y, Yamamoto K, Kuranobu K, Murata M, Tuda K. Does increased signal intensity of the spinal cord on MR images due to cervical myelopathy predict prognosis? Arch Orthop Trauma Surg 1994; 113: 254-9.
3.
Mimura F, Fujiwara K, Otake S, et al. MR imaging of compressive cervical myelopathy after surgery – high signal intensity of the spinal cord on T2 weighted images. Nihon Igaku Hoshasen Gakkai Zasshi 1990; 50: 567-76.
4.
Benjamin ME, Noriko S, Langston TH. Advances in MR imaging for cervical spondylotic myelopathy. Euro Spine J 2015; 24: 197-208.
5.
Beaulieu C. The basis of anisotropic water diffusion in the nervous system – a technical review. NMR Biomed 2002; 15: 435–55.
6.
Zeng J, Zheng P, Xu J, et al. Prediction of motor function by diffusion tensor tractography in patients with basal ganglion haemorrhage. Arch Med Sci 2011; 7: 310-4.
7.
Xiang L, Jiaolong C, Kincheung M, Keith DipKei L, Yong H. Potential use of diffusion tensor imaging in level diagnosis of multilevel cervical spondylotic myelopathy. Spine 2014; 39: 615-22.
8.
Zhang H, Schneider T, Wheeler-Kingshott CA, Alexander DC. NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. Neuroimage 2012; 61: 1000-16.
9.
Kamagata K, Hatano T, Aoki S. What is NODDI and what is its role in Parkinson’s assessment? Expert Rev Neurother 2016; 16: 241-3.
10.
Adluru G, Gur Y, Anderson JS, Richards LG, Adluru N, DiBella EVR. Assessment of white matter microstructure in stroke patients using NODDI. Conf Proc IEEE Eng Med Biol Soc 2014; 2014: 742-5.
11.
Wen Q, Kelley DA, Banerjee S, et al. Clinically feasible NODDI characterization of glioma using multiband EPI at 7 T. Neuroimage Clin 2015; 9: 291-9.
12.
By S, Xu J, Box BA, Bagnato FR, Smith SA. Application and evaluation of NODDI in the cervical spinal cord of multiple sclerosis patients. Neuroimage Clin 2017; 15: 333-42.
13.
Sato K, Kerever A, Kamagata K, et al. Understanding microstructure of the brain by comparison of neurite orientation dispersion and density imaging (NODDI) with transparent mouse brain. Acta Radiol Open 2017; 6: 2058460117703816.
14.
Wen J, Xiao H, Hua G, et al. Usefulness of conventional magnetic resonance imaging, diffusion tensor imaging and neurite orientation dispersion and density imaging in evaluating postoperative function in patients with cervical spondylotic myelopathy. J Orthop Transl 2018; 15: 59-69.
15.
Wolford LM, Wardrop RW, Hartog JM. Coralline porous hydroxylapatite as a bone graft substitute in orthognathic surgery. J Oral Maxillofac Surg 1987; 45: 1034-42.
16.
Nikolaidis I, Fouyas IP, Sandercock PA, Statham PF. Surgery for cervical radiculopathy or myelopathy. Cochrane Database Syst Rev 2010; 1: CD001466.
17.
Yu YL, Boulay GH, Stevens JM, Kendall BE. Morphology and measurements of the cervical spinal cord in computer-assisted myelography. Neuroradiol J 1985; 27: 399-402.
18.
Kameyama T, Hashizume Y, Ando T, Takahashi A. Morphometry of the normal cadaveric cervical spinal cord. Spine 1994; 19: 2077-81.
19.
Ma XD, Han X, Jiang W, et al. A follow-up study of postoperative DCM patients using diffusion MRI with DTI and NODDI. Spine (Phila Pa 1976) 2018; 43: 898-904.
20.
Yu WR, Liu T, Kiehl TR, Fehlings MG. Human neuropathological and animal model evidence supporting a role for Fas-mediated apoptosis and inflammation in cervical spondylotic myelopathy. Brain 2011; 134: 1277-92.
21.
Wu YP, Ling EA. Transsynaptic changes of neurons and associated microglial reaction in the spinal cord of rats following middle cerebral artery occlusion. Neurosci Lett 1988; 256: 41-4.
22.
Takahashi M, Sakamoto Y, Miyawaki M, Bussaka H. Increased MR signal intensity secondary to chronic cervical cord compression. Neuroradiology 1987; 29: 550-6.
23.
Mehalic TF, Pezzuti RT, Applebaum BI. Magnetic resonance imaging and cervical spondylotic myelopathy. Neurosurgery 1990; 26: 217-27.
24.
Al-Mefty O, Harkey LH, Middleton TH, Smith RR, Fox JL. Myelopathic cervical spondylotic lesions demonstrated by MRI. J Neuro Surg 1988; 68: 212-22.
25.
Kertmen H, Celikoglu E, Ozturk O, et al. Comparative effects of methylprednisolone and tetracosactide (ACTH 1–24) on ischemia/reperfusion injury of the rabbit spinal cord. Arch Med Sci 2018; 14: 1459-70.
26.
Takano M, Komaki Y, Hikishima K, Konomi T. In vivo tracing of neural tracts in tiptoe walking Yoshimura mice by diffusion tensor tractography. Spine (Phila Pa 1976) 2013; 38: 66-72.
27.
Wen CY, Cui JL, Lee MP, Mak KC, Luk KD, Hu Y. Quantitative analysis of fiber tractography in cervical spondylotic myelopathy. Spine J 2013; 13: 697-705.
| eISSN: | 1896-9151 |
| ISSN: | 1734-1922 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
