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Related Experiment Video

Updated: Feb 27, 2026

Diffusion Imaging in the Rat Cervical Spinal Cord
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Spinal cord microstructure integrating phase-sensitive inversion recovery and diffusional kurtosis imaging.

V Panara1,2, R Navarra3,4, P A Mattei4,5

  • 1Department of Neuroscience, Imaging and Clinical Sciences, University "G. "D'Annunzio", Chieti, Italy. v.panara@rad.unich.it.

Neuroradiology
|July 6, 2017
PubMed
Summary

Diffusional kurtosis imaging (DKI) combined with phase-sensitive inversion recovery (PSIR) is a feasible and reproducible method for assessing the cervical spinal cord (cSC) microstructure in healthy individuals. This technique shows promise for future clinical applications in spinal cord conditions.

Keywords:
Cervical spinal cordDiffusional kurtosis imagingPhase-sensitive inversion recovery

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Area of Science:

  • Neuroimaging
  • Biomedical Engineering
  • Radiology

Background:

  • Assessing the microstructure of the cervical spinal cord (cSC) is crucial for understanding neurological conditions.
  • Diffusional kurtosis imaging (DKI) offers advanced microstructural insights beyond conventional diffusion tensor imaging.
  • Phase-sensitive inversion recovery (PSIR) provides high-resolution anatomical reference for precise region of interest (ROI) delineation.

Purpose of the Study:

  • To evaluate the feasibility, repeatability, and reproducibility of DKI for microstructural analysis of the normal cSC.
  • To utilize PSIR for accurate anatomical referencing and ROI definition in white matter (WM) and gray matter (GM).
  • To assess kurtosis metrics and fractional anisotropy (FA) in various cSC ROIs.

Main Methods:

  • Prospective study involving 13 healthy subjects undergoing DKI and PSIR sequences of the cSC.
  • Two independent readers defined GM, WM, and cerebrospinal fluid (CSF) ROIs at three cervical levels (C1-C4) on PSIR images.
  • Repeatability and reproducibility of DKI metrics (kurtosis, FA) were calculated, along with inter-reader agreement.

Main Results:

  • High intra-class correlation coefficients (0.75-0.90) between readers indicate good to excellent agreement.
  • The inferior cervical spinal cord levels showed the highest concordance and lowest scan-rescan variability for DKI parameters.
  • No statistically significant differences in kurtosis values were observed in the lateral white matter bundles.

Conclusions:

  • Integrating DKI and PSIR sequences is feasible for exploring cSC microstructure in healthy subjects.
  • The DKI-PSIR method demonstrates reproducible results, supporting its potential clinical utility.
  • Further research is needed to validate this technique for patients with spinal cord involvement, particularly when standard MRI sequences show no abnormalities.