| Literature DB >> 26288547 |
Hironori Arima1, Shinichi Sakamoto2, Kentaro Naito1, Toru Yamagata3, Takehiro Uda1, Kenji Ohata1, Toshihiro Takami1.
Abstract
BACKGROUND: The clinical significance of diffusion tensor (DT) magnetic resonance imaging (MRI) parameters was analyzed to predict postoperative functional recovery in patients with cervical myelopathy.Entities:
Keywords: Cervical myelopathy; diffusion tensor parameters; fractional anisotropy; functional recovery; mean diffusivity
Year: 2015 PMID: 26288547 PMCID: PMC4530511 DOI: 10.4103/0974-8237.161593
Source DB: PubMed Journal: J Craniovertebr Junction Spine ISSN: 0974-8237
Figure 1The mean diffusivity (a) and fractional anisotropy (b) scores at the most compressed part are measured using manual setting of regions of interest. The appropriate axial slice is selected using the sagittal T2-weighted images for anatomic reference (c)
Figure 2Clinical correlations between diffusion tensor image parameters and preoperative neurosurgical cervical spine scale (NCSS) scores. Higher mean diffusivity-z correlates well with higher NCSS scores (correlation coefficient = 0.62, P = 0.01), but the correlation between fractional anisotropy-z and preoperative NCSS scores is not significant (correlation coefficient = 0.11, P = 0.68)
Figure 3Clinical correlations between diffusion tensor image parameters and postoperative functional recovery. Higher mean diffusivity-z correlates well with higher percent recovery rate (RR) (correlation coefficient = 0.59, P = 0.015), but the correlation between fractional anisotropy-z and RR is not significant (correlation coefficient = 0.30, P = 0.26)
Figure 4Receiver operating characteristic curves of mean diffusivity (MD) and fractional anisotropy (FA). The areas under the curves of MD-z and FA-z are 0.91 and 0.78, respectively. The optimal cut-off value of MD-z is 3.2, with a sensitivity of 91%, and specificity of 100%. The predictive probability of a positive test is 100% (10 of 10), and the predictive probability of a negative test is 83% (5 of 6)