Diffusion tensor imaging studies of cervical spondylotic myelopathy: a systemic review and meta-analysis

PLoS One. 2015 Feb 11;10(2):e0117707. doi: 10.1371/journal.pone.0117707. eCollection 2015.

Abstract

A meta-analysis was conducted to assess alterations in measures of diffusion tensor imaging (DTI) in the patients of cervical spondylotic myelopathy (CSM), exploring the potential role of DTI as a diagnosis biomarker. A systematic search of all related studies written in English was conducted using PubMed, Web of Science, EMBASE, CINAHL, and Cochrane comparing CSM patients with healthy controls. Key details for each study regarding participants, imaging techniques, and results were extracted. DTI measurements, such as fractional anisotropy (FA), apparent diffusion coefficient (ADC), and mean diffusivity (MD) were pooled to calculate the effect size (ES) by fixed or random effects meta-analysis. 14 studies involving 479 CSM patients and 278 controls were identified. Meta-analysis of the most compressed levels (MCL) of CSM patients demonstrated that FA was significantly reduced (ES -1.52, 95% CI -1.87 to -1.16, P < 0.001) and ADC was significantly increased (ES 1.09, 95% CI 0.89 to 1.28, P < 0.001). In addition, a notable ES was found for lowered FA at C2-C3 for CSM vs. controls (ES -0.83, 95% CI -1.09 to -0.570, P < 0.001). Meta-regression analysis revealed that male ratio of CSM patients had a significant effect on reduction of FA at MCL (P = 0.03). The meta-analysis of DTI studies of CSM patients clearly demonstrated a significant FA reduction and ADC increase compared with healthy subjects. This result supports the use of DTI parameters in differentiating CSM patients from health subjects. Future researches are required to investigate the diagnosis performance of DTI in cervical spondylotic myelopathy.

Publication types

  • Meta-Analysis
  • Review
  • Systematic Review

MeSH terms

  • Biomarkers / metabolism
  • Diffusion Tensor Imaging / methods*
  • Humans
  • Spinal Cord Diseases / complications*
  • Spinal Cord Diseases / diagnosis*
  • Spinal Cord Diseases / metabolism
  • Spondylosis / complications*

Substances

  • Biomarkers

Grants and funding

The authors have no support or funding to report.