Patient demographics and MRI-based measurements predict redundant nerve roots in lumbar spinal stenosis: a retrospective database cohort comparison

Autor: Jens Lohmann, Luca Papavero, Thies Fitting, Carlos J. Marques
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Male
lcsh:Diseases of the musculoskeletal system
Databases
Factual
Sports medicine
Cauda equina claudication
Severity of Illness Index
030218 nuclear medicine & medical imaging
Spinal Stenosis
0302 clinical medicine
Risk Factors
Orthopedics and Sports Medicine
Classification of lumbar spinal stenosis
Redundant nerve roots
Aged
80 and over
Observer Variation
Lumbar Vertebrae
medicine.diagnostic_test
Cauda equina
Lumbar spinal stenosis
Middle Aged
Prognosis
Magnetic Resonance Imaging
medicine.anatomical_structure
Length of lumbar spine
Female
Spinal Nerve Roots
Research Article
Cohort study
medicine.medical_specialty
Nerve root
Urology
Risk Assessment
03 medical and health sciences
Rheumatology
Predictive Value of Tests
Internal medicine
medicine
Humans
Aged
Retrospective Studies
business.industry
Reproducibility of Results
Magnetic resonance imaging
medicine.disease
Orthopedic surgery
lcsh:RC925-935
business
030217 neurology & neurosurgery
Zdroj: BMC Musculoskeletal Disorders, Vol 19, Iss 1, Pp 1-9 (2018)
BMC Musculoskeletal Disorders
ISSN: 1471-2474
DOI: 10.1186/s12891-018-2364-4
Popis: Background Up to 40% of patients diagnosed with lumbar spinal stenosis (LSS) show evidence of redundant nerve roots (RNR) of the cauda equina on their magnetic resonance images (MRI). The etiology of RNR is still unclear. Preoperative evidence of RNR is associated with a worse postsurgical outcome. Consequently, potential predictors of RNR could have a prognostic value. The aim was to test whether patient demographics and MRI-based measurements can predict RNR in LSS patients. Methods In a retrospective database-based cohort study the preoperative data of 300 patients, 150 with (RNR+) and 150 without (RNR-) evidence of RNR on their MRI were analyzed. Three independent researchers performed the MRI reads. Potential predictors were age, gender, body height (BH), length of lumbar spine (LLS), segmental length of lumbar spine (SLLS), lumbar spine alignment deviation (LSAD), relative LLS (rLLS), relative SLLS (rSLLS), number of stenotic levels (LSS-level), and grade of LSS severity (LLS-grade, increasing from A to D). Binomial logistic regression models were performed. Results RNR+ patients were 2.6 years older (p = 0.01). Weak RNR+ predictors were a two-years age increase (OR 1.06; p = 0.02), 3 cm BH decrease (OR 1.09; p = 0.01) and a 5 mm SLLS decrease (OR 1.34; p
Databáze: OpenAIRE
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