Literature DB >> 27509189

Prevalence and Imaging Characteristics of Nonmyelopathic and Myelopathic Spondylotic Cervical Cord Compression.

Ivana Kovalova1, Milos Kerkovsky, Zdenek Kadanka, Zdenek Kadanka, Martin Nemec, Barbora Jurova, Ladislav Dusek, Jiri Jarkovsky, Josef Bednarik.   

Abstract

STUDY
DESIGN: Cross-sectional population-based observational study.
OBJECTIVE: To estimate the prevalence of nonmyelopathic spondylotic cervical cord compression (NMSCCC) and cervical spondylotic myelopathy (CSM) in a population older than 40 years and to evaluate the magnetic resonance imaging (MRI) characteristics of these conditions. SUMMARY OF BACKGROUND DATA: The prevalence of neither NMSCCC nor CSM is known and there exists no commonly accepted quantitative MRI definition of cervical cord compression.
METHODS: A group of 183 randomly recruited volunteers, 93 women, median age 66 years, range 40-80 years, underwent MRI examination of the cervical spine and spinal cord on a 1.5 T device using conventional sequences from disc levels C2/C3 to C6/C7. The imaging criterion for cervical cord compression was defined as a change in spinal cord contour at the level of an intervertebral disc on axial or sagittal MRI scan.
RESULTS: MRI signs of cervical cord compression were found in 108 individuals (59.0%; 95% CI: 51.5%-66.2%); their numbers increased with age from 31.6% in the fifth decade to 66.8% in the eighth. Clinical signs of symptomatic CSM were found in two cases (1.1%), and 75 cases (41.0%) were without compression. An anteroposterior cervical canal diameter at the level of intervertebral disc (CDdisc) of less than 9.9 mm was associated with the highest probability of NMSCCC-odds ratio (OR) = 32.5, followed by a compression ratio of ≤0.5: OR = 11.1.
CONCLUSION: The prevalence of NMSCCC in a population older than 40 years is higher than previously reported and increases with age. CDdisc and compression ratio had the highest capacity to discriminate between subjects with and without asymptomatic compression, and their cut-off values could be used to objectify criteria for cervical cord compression. LEVEL OF EVIDENCE: 2.

Entities:  

Mesh:

Year:  2016        PMID: 27509189     DOI: 10.1097/BRS.0000000000001842

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  36 in total

Review 1.  Risk factors for the development of degenerative cervical myelopathy: a review of the literature.

Authors:  Guillaume Baucher; Jelena Taskovic; Lucas Troude; Granit Molliqaj; Aria Nouri; Enrico Tessitore
Journal:  Neurosurg Rev       Date:  2021-11-30       Impact factor: 3.042

2.  Semi-automated detection of cervical spinal cord compression with the Spinal Cord Toolbox.

Authors:  Magda Horáková; Tomáš Horák; Jan Valošek; Tomáš Rohan; Eva Koriťáková; Marek Dostál; Jan Kočica; Tomáš Skutil; Miloš Keřkovský; Zdeněk Kadaňka; Petr Bednařík; Alena Svátková; Petr Hluštík; Josef Bednařík
Journal:  Quant Imaging Med Surg       Date:  2022-04

3.  Radiographic predictors for recurrence of lumbar symptoms after prioritized cervical surgery in patients with tandem spinal stenosis.

Authors:  Zhuanghui Wang; Wu Ye; Yufeng Zhu; Pengyu Tang; Weihua Cai
Journal:  Eur Spine J       Date:  2022-07-11       Impact factor: 2.721

Review 4.  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

5.  Lessons From Recruitment to an Internet-Based Survey for Degenerative Cervical Myelopathy: Comparison of Free and Fee-Based Methods.

Authors:  Benjamin Davies; Mark Kotter
Journal:  JMIR Res Protoc       Date:  2018-02-05

6.  Can microstructural MRI detect subclinical tissue injury in subjects with asymptomatic cervical spinal cord compression? A prospective cohort study.

Authors:  Allan R Martin; Benjamin De Leener; Julien Cohen-Adad; David W Cadotte; Aria Nouri; Jefferson R Wilson; Lindsay Tetreault; Adrian P Crawley; David J Mikulis; Howard Ginsberg; Michael G Fehlings
Journal:  BMJ Open       Date:  2018-04-13       Impact factor: 2.692

7.  Development and validation of a MEDLINE search filter/hedge for degenerative cervical myelopathy.

Authors:  Benjamin M Davies; Samuel Goh; Keonwoo Yi; Isla Kuhn; Mark R N Kotter
Journal:  BMC Med Res Methodol       Date:  2018-07-06       Impact factor: 4.615

8.  The Prevalence of Asymptomatic and Symptomatic Spinal Cord Compression on Magnetic Resonance Imaging: A Systematic Review and Meta-analysis.

Authors:  Sam S Smith; Max E Stewart; Benjamin M Davies; Mark R N Kotter
Journal:  Global Spine J       Date:  2020-06-24

9.  Handgrip Strength Correlated with Falling Risk in Patients with Degenerative Cervical Myelopathy.

Authors:  Kathryn Anne Jimenez; Ji-Won Kwon; Jayeong Yoon; Hwan-Mo Lee; Seong-Hwan Moon; Kyung-Soo Suk; Hak-Sun Kim; Byung Ho Lee
Journal:  J Clin Med       Date:  2021-05-05       Impact factor: 4.241

10.  Imaging Factors that Distinguish Between Patients with Asymptomatic and Symptomatic Cervical Spondylotic Myelopathy with Mild to Moderate Cervical Spinal Cord Compression.

Authors:  Jun Ming Cao; Jing Tao Zhang; Da Long Yang; Yi Peng Yang; He Huan Xia; Liu Yang
Journal:  Med Sci Monit       Date:  2017-10-13
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