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DOI 10.1016/j.mri.2020.02.007

Медицинская библиотека · Magnetic resonance imaging · 2020

Diffusion tensor imaging of lumbar spinal nerves reveals changes in microstructural integrity following decompression surgery associated with improvements in clinical symptoms: A case report.

Hughes Sam W, Hellyer Peter J, Sharp David J, Newbould Rexford D, Patel Maneesh C, Strutton Paul H

Клинический случайСтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

The outcomes from spinal nerve decompression surgery are highly variable with a sizable proportion of elderly foraminal stenosis patients not regaining good pain relief. A better understanding of nerve root compression before and following decompression surgery and whether these changes are mirrored by improvements in symptoms may help to improve clinical decision-making processes. This case study used a combination of diffusion tensor imaging (DTI), clinical questionnaires and motor neurophysiology assessments before and up to 3 months following spinal decompression surgery. In this case report, a 70-year-old women with compression of the left L5 spinal nerve root in the L5-S1 exit foramina was recruited to the study. At 3 months following surgery, DTI revealed marked improvements in left L5 microstructural integrity to a similar level to that seen in the intact right L5 nerve root. This was accompanied by a gradual improvement in pain-related symptoms, mood and disability score by 3 months. Using this novel multimodal approach, it may be possible to track concurrent improvements in pain-related symptoms, function and microstructural integrity of compressed nerves in elderly foraminal stenosis patients undergoing decompression surgery.

Для цитирования: Hughes Sam W, Hellyer Peter J, Sharp David J, Newbould Rexford D, Patel Maneesh C, Strutton Paul H. Diffusion tensor imaging of lumbar spinal nerves reveals changes in microstructural integrity following decompression surgery associated with improvements in clinical symptoms: A case report.. Magnetic resonance imaging. 2020. DOI: 10.1016/j.mri.2020.02.007.

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