Evidence map›Paper›PMID 26431174›Full record

Trial reportPloS one2015

Prediction of Neurological Impairment in Cervical Spondylotic Myelopathy using a Combination of Diffusion MRI and Proton MR Spectroscopy.

Benjamin M Ellingson, Noriko Salamon, Anthony J Hardy, Langston T Holly

Open access · goldAbstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
4.3field-weighted citation impact, top 6% of its field
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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Evaluating tissue injury in cervical spondylotic myelopathy with spinal cord MRI: a systematic review.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. T1 mapping using MP2RAGE in degenerative cervical myelopathy: a longitudinal study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
    Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Role of diffusion kurtosis imaging in evaluating microstructural changes in spinal cord of patients with cervical spondylosis.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Journal of neurotrauma · 2021
    Article
  18. Detection of cerebral reorganization associated with degenerative cervical myelopathy using diffusion spectral imaging (DSI).Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2021
    Article
  19. Article
  20. Article
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

4 authors at 2 institutions in 1 country.

Benjamin M EllingsonDepartment of Radiological Sciences, David Geffen School of Medicine, University of California-Los Angeles, United States of America; Department of Biomedical Physics, David Geffen School of Medicine, University of California-Los Angeles, United States of America; Department of Bioengineering, Henri Samueli School of Engineering and Applied Sciences, University of California-Los Angeles, United States of America; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California-Los Angeles, United States of America.
Noriko SalamonDepartment of Radiological Sciences, David Geffen School of Medicine, University of California-Los Angeles, United States of America.
Anthony J HardyDepartment of Radiological Sciences, David Geffen School of Medicine, University of California-Los Angeles, United States of America; Department of Biomedical Physics, David Geffen School of Medicine, University of California-Los Angeles, United States of America.
Langston T HollyDepartment of Neurosurgery and Orthopaedics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America.
University of California, Los Angeles · USNeurobehavioral Systems · US

Funding

Spinal and Cerebral biomarkers for measuring disease progression and prognosis in chronic spinal cord injuryR01NS078494 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ELLINGSON, BENJAMIN M., HOLLY, LANGSTON TYLER · 2012 to 2022
$3.6M
MR Spectroscopy to Explore Spinal Cord Viability in Chronic Spinal Cord InjuryR21NS065419 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HOLLY, LANGSTON TYLER · 2009 to 2010
$421k
NINDS NIH HHS 1R01NS078494-01A1NINDS NIH HHS 1R21NS065419-01A1NINDS NIH HHS R01 NS078494NINDS NIH HHS R21 NS065419
6 · The paper itself

Abstract

purposeIn the present study we investigated a combination of diffusion tensor imaging (DTI) and magnetic resonance spectroscopic (MRS) biomarkers in order to predict neurological impairment in patients with cervical spondylosis.

methodsTwenty-seven patients with cervical spondylosis were evaluated. DTI and single voxel MRS were performed in the cervical cord. N-acetylaspartate (NAA) and choline (Cho) metabolite concentration ratios with respect to creatine were quantified, as well as the ratio of choline to NAA. The modified mJOA scale was used as a measure of neurologic deficit. Linear regression was performed between DTI and MRS parameters and mJOA scores. Significant predictors from linear regression were used in a multiple linear regression model in order to improve prediction of mJOA. Parameters that did not add value to model performance were removed, then an optimized multiparametric model was established to predict mJOA.

resultsSignificant correlations were observed between the Torg-Pavlov ratio and FA (R2 = 0.2021, P = 0.019); DTI fiber tract density and FA, MD, Cho/NAA (R2 = 0.3412, P = 0.0014; R2 = 0.2112, P = 0.016; and R2 = 0.2352, P = 0.010 respectively); along with FA and Cho/NAA (R2 = 0.1695, P = 0.033). DTI fiber tract density, MD and FA at the site of compression, along with Cho/NAA at C2, were significantly correlated with mJOA score (R2 = 0.05939, P < 0.0001; R2 = 0.4739, P < 0.0001; R2 = 0.7034, P < 0.0001; R2 = 0.4649, P < 0.0001). A combination biomarker consisting of DTI fiber tract density, MD, and Cho/NAA showed the best prediction of mJOA (R2 = 0.8274, P<0.0001), with post-hoc tests suggesting fiber tract density, MD, and Cho/NAA were all significant contributors to predicting mJOA (P = 0.00053, P = 0.00085, and P = 0.0019, respectively).

conclusionA linear combination of DTI and MRS measurements within the cervical spinal cord may be useful for accurately predicting neurological deficits in patients with cervical spondylosis. Additional studies may be necessary to validate these observations.

Indexed as

Diffusion Tensor ImagingProton Magnetic Resonance SpectroscopyAdultAgedAgingAspartic AcidCholineCreatinineFemaleGait Disorders, NeurologicHumansLinear ModelsMaleMiddle AgedNeck PainNerve FibersAspartic AcidCholineCreatinineN-acetylaspartate

Identifiers

PMID26431174
PMCPMC4592013
OpenAlexW2138330265

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.