Literature DB >> 33985954

T1 Mapping for Microstructural Assessment of the Cervical Spinal Cord in the Evaluation of Patients with Degenerative Cervical Myelopathy.

G Baucher1,2,3, H Rasoanandrianina2,4,3, S Levy2,4,3, L Pini2,4, L Troude1, P-H Roche1,3, V Callot5,4,3.   

Abstract

BACKGROUND AND
PURPOSE: Although current radiologic evaluation of degenerative cervical myelopathy by conventional MR imaging accurately demonstrates spondylosis or degenerative disc disease causing spinal cord dysfunction, conventional MR imaging still fails to provide satisfactory anatomic and clinical correlations. In this context, we assessed the potential value of quantitative cervical spinal cord T1 mapping regarding the evaluation of patients with degenerative cervical myelopathy.
MATERIALS AND METHODS: Twenty patients diagnosed with mild and moderate-to-severe degenerative cervical myelopathy and 10 healthy subjects were enrolled in a multiparametric MR imaging protocol. Cervical spinal cord T1 mapping was performed with the MP2RAGE sequence procedure. Retrieved data were processed and analyzed regarding the global spinal cord and white and anterior gray matter on the basis of the clinical severity and the spinal canal stenosis grading.
RESULTS: Noncompressed levels in healthy controls demonstrated significantly lower T1 values than noncompressed, mild, moderate, and severe stenotic levels in patients. Concerning the entire spinal cord T1 mapping, patients with moderate-to-severe degenerative cervical myelopathy had higher T1 values compared with healthy controls. Regarding the specific levels, patients with moderate-to-severe degenerative cervical myelopathy demonstrated a T1 value increase at C1, C7, and the level of maximal compression compared with healthy controls. Patients with mild degenerative cervical myelopathy had lower T1 values than those with moderate-to-severe degenerative cervical myelopathy at the level of maximal compression. Analyses of white and anterior gray matter confirmed similar results. Strong negative correlations between individual modified Japanese Orthopaedic Association scores and T1 values were also observed.
CONCLUSIONS: In this preliminary study, 3D-MP2RAGE T1 mapping demonstrated increased T1 values in the pathology tissue samples, with diffuse medullary alterations in all patients with degenerative cervical myelopathy, especially relevant at C1 (nonstenotic level) and at the maximal compression level. Encouraging correlations observed with the modified Japanese Orthopaedic Association score make this novel approach a potential quantitative biomarker related to clinical severity in degenerative cervical myelopathy. Nevertheless, patients with mild degenerative cervical myelopathy demonstrated nonsignificant results compared with healthy controls and should now be studied in multicenter studies with larger patient populations.
© 2021 by American Journal of Neuroradiology.

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Year:  2021        PMID: 33985954      PMCID: PMC8324281          DOI: 10.3174/ajnr.A7157

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   4.966


  46 in total

Review 1.  Degenerative Cervical Myelopathy: Epidemiology, Genetics, and Pathogenesis.

Authors:  Aria Nouri; Lindsay Tetreault; Anoushka Singh; Spyridon K Karadimas; Michael G Fehlings
Journal:  Spine (Phila Pa 1976)       Date:  2015-06-15       Impact factor: 3.468

2.  Relaxometry of brain: why white matter appears bright in MRI.

Authors:  S H Koenig; R D Brown; M Spiller; N Lundbom
Journal:  Magn Reson Med       Date:  1990-06       Impact factor: 4.668

3.  Framework for integrated MRI average of the spinal cord white and gray matter: the MNI-Poly-AMU template.

Authors:  V S Fonov; A Le Troter; M Taso; B De Leener; G Lévêque; M Benhamou; M Sdika; H Benali; P-F Pradat; D L Collins; V Callot; J Cohen-Adad
Journal:  Neuroimage       Date:  2014-09-07       Impact factor: 6.556

4.  Robust, accurate and fast automatic segmentation of the spinal cord.

Authors:  Benjamin De Leener; Samuel Kadoury; Julien Cohen-Adad
Journal:  Neuroimage       Date:  2014-04-27       Impact factor: 6.556

5.  The pathogenesis of the spinal cord disorder associated with cervical spondylosis.

Authors:  S Nurick
Journal:  Brain       Date:  1972       Impact factor: 13.501

6.  Cervical spondylotic myelopathy: patterns of neurological deficit and recovery after anterior cervical decompression.

Authors:  B W Chiles; M A Leonard; H F Choudhri; P R Cooper
Journal:  Neurosurgery       Date:  1999-04       Impact factor: 4.654

Review 7.  Central Cord Syndrome.

Authors:  Nathaniel P Brooks
Journal:  Neurosurg Clin N Am       Date:  2016-11-01       Impact factor: 2.509

Review 8.  The current state-of-the-art of spinal cord imaging: methods.

Authors:  P W Stroman; C Wheeler-Kingshott; M Bacon; J M Schwab; R Bosma; J Brooks; D Cadotte; T Carlstedt; O Ciccarelli; J Cohen-Adad; A Curt; N Evangelou; M G Fehlings; M Filippi; B J Kelley; S Kollias; A Mackay; C A Porro; S Smith; S M Strittmatter; P Summers; I Tracey
Journal:  Neuroimage       Date:  2013-05-14       Impact factor: 6.556

Review 9.  Mechanical and cellular processes driving cervical myelopathy.

Authors:  Roisin T Dolan; Joseph S Butler; John M O'Byrne; Ashley R Poynton
Journal:  World J Orthop       Date:  2016-01-18

10.  Quantification of spinal cord compression using T1 mapping in patients with cervical spinal canal stenosis - Preliminary experience.

Authors:  Ilko L Maier; Sabine Hofer; Arun A Joseph; K Dietmar Merboldt; Eva Eggert; Daniel Behme; Katharina Schregel; Christian von der Brelie; Veit Rohde; Jan Koch; Marios-Nikos Psychogios; Jens Frahm; Jan Liman; Mathias Bähr
Journal:  Neuroimage Clin       Date:  2018-12-10       Impact factor: 4.881

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  2 in total

Review 1.  Quantitative MR Markers in Non-Myelopathic Spinal Cord Compression: A Narrative Review.

Authors:  Jan Valošek; Petr Bednařík; Miloš Keřkovský; Petr Hluštík; Josef Bednařík; Alena Svatkova
Journal:  J Clin Med       Date:  2022-04-20       Impact factor: 4.964

2.  Spinal cord and brain tissue impairments as long-term effects of rugby practice? An exploratory study based on T1 and ihMTsat measures.

Authors:  Arash Forodighasemabadi; Guillaume Baucher; Lucas Soustelle; Thomas Troalen; Olivier M Girard; Maxime Guye; Jean-Baptiste Grisoli; Jean-Philippe Ranjeva; Guillaume Duhamel; Virginie Callot
Journal:  Neuroimage Clin       Date:  2022-07-23       Impact factor: 4.891

  2 in total

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