A Diagnostic Biomarker for Cervical Myelopathy Based on Dynamic Magnetic Resonance Imaging.


Journal

Spine
ISSN: 1528-1159
Titre abrégé: Spine (Phila Pa 1976)
Pays: United States
ID NLM: 7610646

Informations de publication

Date de publication:
01 Aug 2023
Historique:
received: 08 11 2022
accepted: 16 02 2023
medline: 19 7 2023
pubmed: 6 4 2023
entrez: 5 4 2023
Statut: ppublish

Résumé

Multicenter prospective observational study. Diffusion tensor imaging in flexion extension improves the diagnosis of degenerative cervical myelopathy (DCM). We aimed to provide an imaging biomarker for the detection of DCM. DCM is the most common form of spinal cord dysfunction in adults; however, imaging surveillance for myelopathy remains poorly characterized. Symptomatic DCM patients were examined in maximum neck flexion-extension and neutral positions in a 3T-magnetic resonance imaging scanner and allocated to 2 groups: (1) Patients with visible intramedullary hyperintensity (IHIS) on T2-weighted imaging (IHIS+, n = 10); and (2) Patients without IHIS (IHIS-, n = 11). Range of motion, space available for the spinal cord, apparent diffusion coefficient (ADC), axial diffusivity (AD), radial diffusivity, and fractional anisotropy were measured and compared between the neck positions and between the groups as well as between control (C2/3) and pathologic segments. Significant differences between the control level (C2/3) and pathologic segments were appreciated for the IHIS+ group at neutral neck position in AD; at flexion in ADC and AD; and at neck extension in ADC, AD, and fractional anisotropy values. For the IHIS- group, significant differences between the control level (C2/3) and pathologic segments were found only for ADC values in neck extension. When comparing diffusion parameters between groups, radial diffusivity was significantly different in all 3 neck positions. Significant increases in ADC values between the control and pathologic segments were found for both groups in neck extension only. This may serve as a diagnostic tool to identify early changes in the spinal cord related to myelopathy to indicate potentially reversible spinal cord injury and support the indication for surgery in select circumstances.

Sections du résumé

STUDY DESIGN METHODS
Multicenter prospective observational study.
OBJECTIVE OBJECTIVE
Diffusion tensor imaging in flexion extension improves the diagnosis of degenerative cervical myelopathy (DCM). We aimed to provide an imaging biomarker for the detection of DCM.
SUMMARY OF BACKGROUND DATA BACKGROUND
DCM is the most common form of spinal cord dysfunction in adults; however, imaging surveillance for myelopathy remains poorly characterized.
PATIENTS AND METHODS METHODS
Symptomatic DCM patients were examined in maximum neck flexion-extension and neutral positions in a 3T-magnetic resonance imaging scanner and allocated to 2 groups: (1) Patients with visible intramedullary hyperintensity (IHIS) on T2-weighted imaging (IHIS+, n = 10); and (2) Patients without IHIS (IHIS-, n = 11). Range of motion, space available for the spinal cord, apparent diffusion coefficient (ADC), axial diffusivity (AD), radial diffusivity, and fractional anisotropy were measured and compared between the neck positions and between the groups as well as between control (C2/3) and pathologic segments.
RESULTS RESULTS
Significant differences between the control level (C2/3) and pathologic segments were appreciated for the IHIS+ group at neutral neck position in AD; at flexion in ADC and AD; and at neck extension in ADC, AD, and fractional anisotropy values. For the IHIS- group, significant differences between the control level (C2/3) and pathologic segments were found only for ADC values in neck extension. When comparing diffusion parameters between groups, radial diffusivity was significantly different in all 3 neck positions.
CONCLUSION CONCLUSIONS
Significant increases in ADC values between the control and pathologic segments were found for both groups in neck extension only. This may serve as a diagnostic tool to identify early changes in the spinal cord related to myelopathy to indicate potentially reversible spinal cord injury and support the indication for surgery in select circumstances.

Identifiants

pubmed: 37018513
doi: 10.1097/BRS.0000000000004667
pii: 00007632-990000000-00296
doi:

Substances chimiques

Biomarkers 0

Types de publication

Observational Study Multicenter Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1041-1046

Informations de copyright

Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.

Déclaration de conflit d'intérêts

The authors report no conflicts of interest.

Références

Nouri A, Tetreault L, Singh A, Karadimas SK, Fehlings MG. Degenerative cervical myelopathy: epidemiology, genetics, and pathogenesis. Spine (Phila Pa 1976). 2015;40:E675–93.
McCormick JR, Sama AJ, Schiller NC, Butler AJ, Donnally CJ. Cervical Spondylotic myelopathy: a guide to diagnosis and management—review. J Am Board Fam Med. 2020;33:303–13.
Demir A, Ries M, Moonen CT, et al. Diffusion-weighted MR imaging with apparent diffusion coefficient and apparent diffusion tensor maps in cervical spondylotic myelopathy. Radiology. 2003;229:37–43.
Bartlett RJV, Rowland Hill CA, Rigby AS, Chandrasekaran S, Narayanamurthy H. MRI of the cervical spine with neck extension: is it useful? Br J Radiol. 2012;85:1044–51.
Shabani S, Kaushal M, Budde MD, Wang MC, Kurpad SN. Diffusion tensor imaging in cervical spondylotic myelopathy: a review. J Neurosurg Spine. 2020;33:65–72.
Schatlo B, Remonda L, Gruber P, et al. Dynamic flexion-extension diffusion-tensor weighted magnetic resonance imaging. Clin Neuroradiol. 2019;29:523–32.
Jones D. Diffusion MRI: theory, methods and applications, 1st edition. Bew York: Oxford University Press, Inc; 2011.
Revanappa KK, Rajshekhar V. Comparison of Nurick grading system and modified Japanese Orthopaedic scoring system in evaluation of patients with cervical spondylotic myelopathy. Eur Spine J. 2011;20:1545–51.
Tetreault L, Kopjar B, Nouri A, et al. The modified Japanese Orthopaedic Association scale: establishing criteria for mild, moderate and severe impairment in patients with degenerative cervical myelopathy. Eur Spine J. 2017;26:78–84.
Endo T, Suzuki S, Inoue T, Utsunomiya A, Uenohara H, Tominaga T. Prediction of neurological recovery in spontaneous spinal epidural hematoma using apparent diffusion coefficient values. Spinal Cord. 2014;52:729–33.
Tykocki T, English P, Minks D, Krishnakumar A, Wynne-Jones G. Predictive value of flexion and extension diffusion tensor imaging in the early stage of cervical myelopathy. Neuroradiology. 2018;60:1181–91.
Qian W, Chan Q, Mak H, et al. Quantitative assessment of the cervical spinal cord damage in neuromyelitis optica using diffusion tensor imaging at 3 Tesla. J Magn Reson Imaging. 2011;33:1312–20.
Budzik JF, Balbi V, Le Thuc V, Duhamel A, Assaker R, Cotten A. Diffusion tensor imaging and fibre tracking in cervical spondylotic myelopathy. Eur Radiol. 2011;21:426–33.
Chang Y, Jung TD, Yoo DS, Hyun JK. Diffusion tensor imaging and fiber tractography of patients with cervical spinal cord injury. J Neurotrauma. 2010;27:2033–40.
Rindler RS, Chokshi FH, Malcolm JG, et al. Spinal diffusion tensor imaging in evaluation of preoperative and postoperative severity of cervical spondylotic myelopathy: systematic review of literature. World Neurosurg. 2017;99:150–8.

Auteurs

Jatta Berberat (J)

Institute of Neuroradiology, Kantonsspital Aarau, Aarau, Switzerland.
Department of Psychiatry, Geriatric Psychiatry, University Hospitals of Geneva, University of Geneva, Geneva, Switzerland.

Lukas Andereggen (L)

Department of Neurosurgery, Kantonsspital Aarau, Aarau, Switzerland.
University of Bern, Bern, Switzerland.

Philipp Gruber (P)

Institute of Neuroradiology, Kantonsspital Aarau, Aarau, Switzerland.

Oliver Hausmann (O)

University of Bern, Bern, Switzerland.
Department of Neuro and Spine Surgery, Hirslanden Klinik St. Anna, Luzern, Switzerland.

Ali Reza Fathi (A)

University of Bern, Bern, Switzerland.
Neurochirurgie Fathi AG, Aarau, Switzerland.

Luca Remonda (L)

Institute of Neuroradiology, Kantonsspital Aarau, Aarau, Switzerland.
University of Bern, Bern, Switzerland.

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Classifications MeSH