Literature DB >> 31101963

[Classification and diagnosis of lumbar spinal stenosis].

M Arabmotlagh1, R M Sellei2, J M Vinas-Rios3, M Rauschmann3.   

Abstract

BACKGROUND: Lumbar spinal stenosis is caused by various pathological conditions. With the diagnostic tools available, a precise classification of the condition should be made, which enables a consistent and appropriate therapeutic approach.
OBJECTIVES: In the present article, the currently used classifications of lumbar spinal stenosis are discussed and the diagnostic tools are presented, focussing on the imaging descriptions of morphological changes.
MATERIALS AND METHODS: This article is based on a PubMed literature search of the past 60 years and our own experiences.
RESULTS: Lumbar spinal stenosis is caused mainly by degenerative changes to the spine. MR tomographic imaging can result in precise anatomical illustration and classification of the stenosis.
CONCLUSIONS: Although modern imaging procedures deliver a very precise illustration of lumbar spinal stenosis, clinical symptoms make a considerable contribution to therapeutic decision-making. With the anatomical classification, differentiated surgical decompression of the spinal canal can be planned.

Entities:  

Keywords:  Claudication spinalis; Lumbar stenosis; Nerve roots decompression; Spinal canal; Vertebral column

Mesh:

Year:  2019        PMID: 31101963     DOI: 10.1007/s00132-019-03746-1

Source DB:  PubMed          Journal:  Orthopade        ISSN: 0085-4530            Impact factor:   1.087


  2 in total

1.  The identification of novel gene mutations for degenerative lumbar spinal stenosis using whole-exome sequencing in a Chinese cohort.

Authors:  Xin Jiang; Dong Chen
Journal:  BMC Med Genomics       Date:  2021-05-21       Impact factor: 3.063

2.  Decompression with fusion versus decompression in the treatment of lumbar spinal stenosis: A systematic review and meta-analysis.

Authors:  Bo Chen; Yao Lv; Zhi-Cui Wang; Xiu-Cheng Guo; Chu-Zhang Chao
Journal:  Medicine (Baltimore)       Date:  2020-09-18       Impact factor: 1.817

  2 in total

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