Document Detail

Diffusion tensor imaging and T2 relaxometry of bilateral lumbar nerve roots: feasibility of in-plane imaging.
MedLine Citation:
PMID:  23208676     Owner:  NLM     Status:  MEDLINE    
Lower back pain is a common problem frequently encountered without specific biomarkers that correlate well with an individual patient's pain generators. MRI quantification of diffusion and T2 relaxation properties may provide novel insight into the mechanical and inflammatory changes that occur in the lumbosacral nerve roots in patients with lower back pain. Accurate imaging of the spinal nerve roots is difficult because of their small caliber and oblique course in all three planes. Two-dimensional in-plane imaging of the lumbosacral nerve roots requires oblique coronal imaging with large field of view (FOV) in both dimensions, resulting in severe geometric distortions using single-shot echo planar imaging (EPI) techniques. The present work describes initial success using a reduced-FOV single-shot spin-echo EPI acquisition to obtain in-plane diffusion tensor imaging (DTI) and T2 mapping of the bilateral lumbar nerve roots at the L4 level of healthy subjects, minimizing partial volume effects, breathing artifacts and geometric distortions. A significant variation in DTI and T2 mapping metrics is also reported along the course of the normal nerve root. The fractional anisotropy is statistically significantly lower in the dorsal root ganglia (0.287 ± 0.068) than in more distal regions in the spinal nerve (0.402 ± 0.040) (p < 10(-5) ). The T2 relaxation value is statistically significantly higher in the dorsal root ganglia (78.0 ± 11.9 ms) than in more distal regions in the spinal nerve (59.5 ± 7.4 ms) (p < 10(-5) ). The quantification of nerve root DTI and T2 properties using the proposed methodology may identify the specific site of any degenerative and inflammatory changes along the nerve roots of patients with lower back pain.
Dimitrios C Karampinos; Gerd Melkus; Timothy M Shepherd; Suchandrima Banerjee; Emine U Saritas; Ajit Shankaranarayanan; Christopher P Hess; Thomas M Link; William P Dillon; Sharmila Majumdar
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2012-12-04
Journal Detail:
Title:  NMR in biomedicine     Volume:  26     ISSN:  1099-1492     ISO Abbreviation:  NMR Biomed     Publication Date:  2013 Jun 
Date Detail:
Created Date:  2013-04-23     Completed Date:  2013-11-08     Revised Date:  2014-06-03    
Medline Journal Info:
Nlm Unique ID:  8915233     Medline TA:  NMR Biomed     Country:  England    
Other Details:
Languages:  eng     Pagination:  630-7     Citation Subset:  IM    
Copyright Information:
Copyright © 2012 John Wiley & Sons, Ltd.
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MeSH Terms
Diffusion Tensor Imaging / methods*
Echo-Planar Imaging / methods*
Low Back Pain / diagnosis*
Lumbar Vertebrae / pathology*
Middle Aged
Spinal Nerve Roots / pathology*
Grant Support

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