Evidence map›Paper›PMID 29654015›Full record

Observational studyBMJ open2018

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

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 and 1 more

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  8. Reproducible Spinal Cord Quantitative MRI Analysis with the Spinal Cord Toolbox.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Allan R MartinDivision of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
Benjamin De LeenerInstitute of Biomedical Engineering, École Polytechnique de Montréal, Montréal, Québec, Canada.
Julien Cohen-AdadInstitute of Biomedical Engineering, École Polytechnique de Montréal, Montréal, Québec, Canada.
David W CadotteDepartment of Neurosurgery, University of Calgary, Calgary, Alberta, Canada.
Aria NouriDivision of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
Jefferson R WilsonDivision of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
Lindsay TetreaultDivision of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
Adrian P CrawleyDepartment of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.
David J MikulisDepartment of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.
Howard GinsbergDepartment of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.
Michael G FehlingsDivision of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDegenerative cervical myelopathy (DCM) involves extrinsic spinal cord compression causing tissue injury and neurological dysfunction. Asymptomatic spinal cord compression (ASCC) is more common, but its significance is poorly defined. This study investigates if: (1) ASCC can be automatically diagnosed using spinal cord shape analysis; (2) multiparametric quantitative MRI can detect similar spinal cord tissue injury as previously observed in DCM.

designProspective observational longitudinal cohort study.

settingSingle centre, tertiary care and research institution.

participants40 neurologically intact subjects (19 female, 21 male) divided into groups with and without ASCC.

interventionsNone. OUTCOME MEASURES: Clinical assessments: modified Japanese Orthopaedic Association score and physical examination. 3T MRI assessments: automated morphometric analysis compared with consensus ratings of spinal cord compression, and measures of tissue injury: cross-sectional area, diffusion fractional anisotropy, magnetisation transfer ratio and T2*-weighted imaging white to grey matter signal intensity ratio (T2*WI WM/GM) extracted from rostral (C1-3), caudal (C6-7) and maximally compressed levels.

resultsASCC was present in 20/40 subjects. Diagnosis with automated shape analysis showed area under the curve >97%. Five MRI metrics showed differences suggestive of tissue injury in ASCC compared with uncompressed subjects (p<0.05), while a composite of all 10 measures (average of z scores) showed highly significant differences (p=0.002). At follow-up (median 21 months), two ASCC subjects developed DCM.

conclusionsASCC appears to be common and can be accurately and objectively diagnosed with automated morphometric analysis. Quantitative MRI appears to detect subclinical tissue injury in ASCC prior to the onset of neurological symptoms and signs. These findings require further validation, but offer the intriguing possibility of presymptomatic diagnosis and treatment of DCM and other spinal pathologies.

Indexed as

Magnetic Resonance ImagingSpinal Cord CompressionAdultCervical VertebraeFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesSpinal CordSpinal Cord Diseasesdiffusion tensor imagingmagnetization transfermyelopathypreclinicalquantitative mrispinal cord injury

Identifiers

PMID29654015
PMCPMC5905727

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.