4.7 Article

Evaluation of trigeminal nerve tractography using two-fold-accelerated simultaneous multi-slice readout-segmented echo planar diffusion tensor imaging

Journal

EUROPEAN RADIOLOGY
Volume 31, Issue 2, Pages 640-649

Publisher

SPRINGER
DOI: 10.1007/s00330-020-07193-x

Keywords

Diffusion tensor imaging; Echo planar imaging; Trigeminal nerve diseases; Trigeminal neuralgia

Funding

  1. National Medical Research Council, Singapore
  2. National Neuroscience Institute (NNI), Singapore, through the Pilot Studies Research Grant [NCG PV05]

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The study evaluated the reliability of trigeminal nerve DTI metrics using SMS with RESOLVE-DTI, finding that it enables fast and reliable evaluation of microstructural integrity of the trigeminal nerve. The combination of SMS imaging with short TR and RESOLVE-DTI showed significant linear relationships between non-SMS- and SMS-derived DTI metrics, providing potential applications in the clinical management of trigeminal neuralgia.
Objectives Simultaneous multi-slice (SMS) imaging with short repetition time (TR) accelerates diffusion tensor imaging (DTI) acquisitions. However, its impact when combined with readout-segmented echo planar imaging (RESOLVE) on the cranial nerves given the challenging skull base/posterior fossa terrain is unexplored. We evaluated the reliability of trigeminal nerve DTI metrics using SMS with RESOLVE-DTI. Methods Eight healthy controls and six patients with unilateral trigeminal neuralgia (TN) underwent brain MRI scan. Three different RESOLVE-DTI protocols were performed on a 3-T MRI system: non-SMS (TR = 4330 ms), SMS with identical TR (4330 ms), and SMS with short TR (2400 ms). Pontine signal-to-noise ratio (SNR) and DTI metrics of the trigeminal nerve streamlines tracked by two independent raters using deterministic tractography and standardized tracking protocol were obtained. These were statistically analyzed and compared across the three protocols using intra-rater and inter-rater intraclass correlation coefficients (ICCs), one-way analysis of variance (ANOVA), post hoc analysis, and linear regression. Results On visual screening, there were no artifacts across the trigeminal nerves. All data also cleared objective image quality assurance analysis. Pontine SNR was similar for the two SMS protocols and higher for the non-SMS RESOLVE-DTI (F-(2,F-36) = 4.40,p = 0.02). Intra-rater and inter-rater ICCs were very good (> 0.85). Trigeminal nerve DTI metrics were consistently measured by the three protocols, revealing significant linear relationships between non-SMS- and SMS-derived DTI metrics. Conclusion SMS RESOLVE-DTI enables fast and reliable evaluation of microstructural integrity of the trigeminal nerve, with potential application in the clinical management of TN.

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