Abstract

Objectives

To investigate the accuracy of Diffusion Weighted Imaging (DWI) using the Readout Segmentation of Long Variable Echo-trains (RESOLVE) sequence in detecting lumbosacral nerve abnormalities.

Methods

Following institutional ethics committee approval, patients with sciatica-type lower limb radicular symptoms (n = 110) were recruited and prospectively scanned using 3T MRI. Additional participants (n = 17) who underwent neurophysiological testing (EMG/NCV), were also prospectively studied. In addition to routine lumbar spine MRI, a DWI-RESOLVE sequence of the lumbosacral plexus was performed. Two radiologists, blinded to the side of patient symptoms, independently evaluated the MR images. The size and signal intensity changes of the nerves were evaluated using ordinal 4-point Likert-scales. Signal-to-noise ratio (SNR), apparent diffusion coefficient (ADC) and size were measured for affected and normal nerves. Inter-observer agreement was determined with kappa statistics; κ.

Results

In patients who did not undergo EMG/NCV testing (n = 110), the DWI-RESOLVE sequence detected lumbosacral nerve abnormalities that correlated with symptoms in 36.3% (40/110). This is a similar percentage to patients who underwent EMG/NCV testing, which was positive and correlated with symptoms in 41.2% (7/17). Inter-observer agreement for evaluation of lumbosacral nerve abnormalities was excellent and ranged from 0.87 to 0.94. SNR and nerve size measurements demonstrated statistically significant differences for the L5 and S1 nerves (p value < 0.05) for patients who did not undergo EMG/NCV testing.

Conclusion

The DWI-RESOLVE sequence is a promising new method that may permit accurate detection and localization of lumbar nerve abnormalities in patients with sciatica.

Details

Title
Identifying lumbosacral plexus nerve root abnormalities in patients with sciatica using 3T readout-segmented echo-planar diffusion weighted MR neurography
Author
Abdulaal, Osamah M 1   VIAFID ORCID Logo  ; McGee, Allison 2 ; Rainford, Louise 2 ; O’Driscoll Dearbhail 3 ; Galligan, Marie 2 ; Reid, Valerie 4 ; MacMahon, Peter J 5 

 Taibah University, Diagnostic Radiology Technology, College of Applied Medical Sciences, Madina, Saudi Arabia (GRID:grid.412892.4) (ISNI:0000 0004 1754 9358); University College Dublin, Radiography and Diagnostic Imaging, School of Medicine, Dublin, Ireland (GRID:grid.7886.1) (ISNI:0000 0001 0768 2743) 
 University College Dublin, Radiography and Diagnostic Imaging, School of Medicine, Dublin, Ireland (GRID:grid.7886.1) (ISNI:0000 0001 0768 2743) 
 Mater Misericordiae University Hospital, Department of Radiology, Dublin, Ireland (GRID:grid.411596.e) (ISNI:0000 0004 0488 8430) 
 Mater Misericordiae University Hospital, Department of Neurophysiology, Dublin, Ireland (GRID:grid.411596.e) (ISNI:0000 0004 0488 8430) 
 Mater Misericordiae University Hospital, Department of Radiology, Dublin, Ireland (GRID:grid.411596.e) (ISNI:0000 0004 0488 8430); University College Dublin, School of Medicine, Dublin 4, Ireland (GRID:grid.7886.1) (ISNI:0000 0001 0768 2743) 
Publication year
2021
Publication date
Apr 2021
Publisher
Springer Nature B.V.
e-ISSN
18694101
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2515481942
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.