Literature DB >> 20006557

Computed tomography-evaluated features of spinal degeneration: prevalence, intercorrelation, and association with self-reported low back pain.

Leonid Kalichman1, David H Kim, Ling Li, Ali Guermazi, David J Hunter.   

Abstract

BACKGROUND CONTEXT: Although the role of radiographic abnormalities in the etiology of nonspecific low back pain (LBP) is unclear, the frequent identification of these features on radiologic studies continues to influence medical decision making.
PURPOSE: The primary purposes of the study were to evaluate the prevalence of lumbar spine degeneration features, evaluated on computed tomography (CT), in a community-based sample and to evaluate the association between lumbar spine degeneration features. The secondary purpose was to evaluate the association between spinal degeneration features and LBP. STUDY
DESIGN: This is a cross-sectional community-based study that was an ancillary project to the Framingham Heart Study. SAMPLE: A subset of 187 participants were chosen from the 3,529 participants enrolled in the Framingham Heart Study who underwent multidetector CT scan to assess aortic calcification. OUTCOME MEASURES: Self-report measures: LBP in the preceding 12 months was evaluated using a Nordic self-report questionnaire. Physiologic measures: Dichotomous variables indicating the presence of intervertebral disc narrowing, facet joint osteoarthritis (OA), spondylolysis, spondylolisthesis, and spinal stenosis and the density (in Hounsfield units) of multifidus and erector spinae muscles were evaluated on CT.
METHODS: We calculated the prevalence of spinal degeneration features and mean density of multifidus and erector spinae muscles in groups of individuals with and without LBP. Using the chi(2) test for dichotomous and t test for continuous variables, we estimated the differences in spinal degeneration parameters between the aforementioned groups. To evaluate the association of spinal degeneration features with age, the prevalence of degeneration features was calculated in four age groups (less than 40, 40-50, 50-60, and 60+ years). We used multiple logistic regression models to examine the association between spinal degeneration features (before and after adjustment for age, sex, and body mass index [BMI]) and LBP, and between all degeneration features and LBP.
RESULTS: In total, 104 men and 83 women, with a mean age (+/-standard deviation) of 52.6+/-10.8 years, participated in the study. There was a high prevalence of intervertebral disc narrowing (63.9%), facet joint OA (64.5%), and spondylolysis (11.5%) in the studied sample. When all spinal degeneration features as well as age, sex, and BMI were factored in stepwise fashion into a multiple logistic regression model, only spinal stenosis showed statistically significant association with LBP, odds ratio (OR) (95% confidence interval [CI]): 3.45 [1.12-10.68]. Significant association was found between facet joint OA and low density of multifidus (OR [95% CI]: 3.68 [1.36-9.97]) and erector spinae (OR [95% CI]: 2.80 [1.10-7.16]) muscles.
CONCLUSIONS: Degenerative features of the lumbar spine were extremely prevalent in this community-based sample. The only degenerative feature associated with self-reported LBP was spinal stenosis. Other degenerative features appear to be unassociated with LBP. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 20006557      PMCID: PMC3686273          DOI: 10.1016/j.spinee.2009.10.018

Source DB:  PubMed          Journal:  Spine J        ISSN: 1529-9430            Impact factor:   4.166


  53 in total

1.  CT imaging of trunk muscles in chronic low back pain patients and healthy control subjects.

Authors:  L A Danneels; G G Vanderstraeten; D C Cambier; E E Witvrouw; H J De Cuyper
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2.  Results of surgical treatment of idiopathic developmental stenosis of the lumbar vertebral canal. A review of twenty-seven years' experience.

Authors:  H Verbiest
Journal:  J Bone Joint Surg Br       Date:  1977-05

3.  Evidence for lower variability of coronary artery calcium mineral mass measurements by multi-detector computed tomography in a community-based cohort--consequences for progression studies.

Authors:  Udo Hoffmann; Uwe Siebert; Arabella Bull-Stewart; Stephan Achenbach; Maros Ferencik; Fabian Moselewski; Thomas J Brady; Joseph M Massaro; Christopher J O'Donnell
Journal:  Eur J Radiol       Date:  2006-01-24       Impact factor: 3.528

4.  Abnormal magnetic-resonance scans of the lumbar spine in asymptomatic subjects. A prospective investigation.

Authors:  S D Boden; D O Davis; T S Dina; N J Patronas; S W Wiesel
Journal:  J Bone Joint Surg Am       Date:  1990-03       Impact factor: 5.284

5.  The Longitudinal Assessment of Imaging and Disability of the Back (LAIDBack) Study: baseline data.

Authors:  J J Jarvik; W Hollingworth; P Heagerty; D R Haynor; R A Deyo
Journal:  Spine (Phila Pa 1976)       Date:  2001-05-15       Impact factor: 3.468

6.  The Third Generation Cohort of the National Heart, Lung, and Blood Institute's Framingham Heart Study: design, recruitment, and initial examination.

Authors:  Greta Lee Splansky; Diane Corey; Qiong Yang; Larry D Atwood; L Adrienne Cupples; Emelia J Benjamin; Ralph B D'Agostino; Caroline S Fox; Martin G Larson; Joanne M Murabito; Christopher J O'Donnell; Ramachandran S Vasan; Philip A Wolf; Daniel Levy
Journal:  Am J Epidemiol       Date:  2007-03-19       Impact factor: 4.897

7.  Development of degenerative changes in the lumbar intervertebral disk: results of a prospective MR imaging study in adolescents with and without low-back pain.

Authors:  M O Erkintalo; J J Salminen; A M Alanen; H E Paajanen; M J Kormano
Journal:  Radiology       Date:  1995-08       Impact factor: 11.105

8.  The value of magnetic resonance imaging of the lumbar spine to predict low-back pain in asymptomatic subjects : a seven-year follow-up study.

Authors:  D G Borenstein; J W O'Mara; S D Boden; W C Lauerman; A Jacobson; C Platenberg; D Schellinger; S W Wiesel
Journal:  J Bone Joint Surg Am       Date:  2001-09       Impact factor: 5.284

Review 9.  Diagnostic evaluation of low back pain with emphasis on imaging.

Authors:  Jeffrey G Jarvik; Richard A Deyo
Journal:  Ann Intern Med       Date:  2002-10-01       Impact factor: 25.391

10.  Trunk muscle strength, cross-sectional area, and density in patients with chronic low back pain randomized to lumbar fusion or cognitive intervention and exercises.

Authors:  Anne Keller; Jens I Brox; Ragnhild Gunderson; Inger Holm; Astrid Friis; Olav Reikerås
Journal:  Spine (Phila Pa 1976)       Date:  2004-01-01       Impact factor: 3.468

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  51 in total

1.  Geometry of the vertebral bodies and the intervertebral discs in lumbar segments adjacent to spondylolysis and spondylolisthesis: pilot study.

Authors:  Ella Been; Ling Li; David J Hunter; Leonid Kalichman
Journal:  Eur Spine J       Date:  2010-12-23       Impact factor: 3.134

2.  Improving the pharmacologic management of pain in older adults: identifying the research gaps and methods to address them.

Authors:  M Cary Reid; David A Bennett; Wen G Chen; Basil A Eldadah; John T Farrar; Bruce Ferrell; Rollin M Gallagher; Joseph T Hanlon; Keela Herr; Susan D Horn; Charles E Inturrisi; Salma Lemtouni; Yu Woody Lin; Kaleb Michaud; R Sean Morrison; Tuhina Neogi; Linda L Porter; Daniel H Solomon; Michael Von Korff; Karen Weiss; James Witter; Kevin L Zacharoff
Journal:  Pain Med       Date:  2011-08-11       Impact factor: 3.750

3.  Cognitive-Behavioral-Based Physical Therapy for Patients With Chronic Pain Undergoing Lumbar Spine Surgery: A Randomized Controlled Trial.

Authors:  Kristin R Archer; Clinton J Devin; Susan W Vanston; Tatsuki Koyama; Sharon E Phillips; Shannon L Mathis; Steven Z George; Matthew J McGirt; Dan M Spengler; Oran S Aaronson; Joseph S Cheng; Stephen T Wegener
Journal:  J Pain       Date:  2015-10-23       Impact factor: 5.820

4.  Restoration of disk height through non-surgical spinal decompression is associated with decreased discogenic low back pain: a retrospective cohort study.

Authors:  Christian C Apfel; Ozlem S Cakmakkaya; William Martin; Charlotte Richmond; Alex Macario; Elizabeth George; Maximilian Schaefer; Joseph V Pergolizzi
Journal:  BMC Musculoskelet Disord       Date:  2010-07-08       Impact factor: 2.362

Review 5.  MRI Findings of Disc Degeneration are More Prevalent in Adults with Low Back Pain than in Asymptomatic Controls: A Systematic Review and Meta-Analysis.

Authors:  W Brinjikji; F E Diehn; J G Jarvik; C M Carr; D F Kallmes; M H Murad; P H Luetmer
Journal:  AJNR Am J Neuroradiol       Date:  2015-09-10       Impact factor: 3.825

6.  Prevalence of radiographic findings in individuals with chronic low back pain screened for a randomized controlled trial: secondary analysis and clinical implications.

Authors:  Robert D Vining; Eric Potocki; Ian McLean; Michael Seidman; A Paige Morgenthal; James Boysen; Christine Goertz
Journal:  J Manipulative Physiol Ther       Date:  2014-11-01       Impact factor: 1.437

Review 7.  Systematic literature review of imaging features of spinal degeneration in asymptomatic populations.

Authors:  W Brinjikji; P H Luetmer; B Comstock; B W Bresnahan; L E Chen; R A Deyo; S Halabi; J A Turner; A L Avins; K James; J T Wald; D F Kallmes; J G Jarvik
Journal:  AJNR Am J Neuroradiol       Date:  2014-11-27       Impact factor: 3.825

8.  A longitudinal study of disc height narrowing and facet joint osteoarthritis at the thoracic and lumbar spine, evaluated by computed tomography: the Framingham Study.

Authors:  Mohamed Jarraya; Ali Guermazi; Amanda L Lorbergs; Elana Brochin; Douglas P Kiel; Mary L Bouxsein; L Adrienne Cupples; Elizabeth J Samelson
Journal:  Spine J       Date:  2018-04-19       Impact factor: 4.166

9.  Consensus practice guidelines on interventions for lumbar facet joint pain from a multispecialty, international working group.

Authors:  Steven P Cohen; Arun Bhaskar; Anuj Bhatia; Asokumar Buvanendran; Tim Deer; Shuchita Garg; W Michael Hooten; Robert W Hurley; David J Kennedy; Brian C McLean; Jee Youn Moon; Samer Narouze; Sanjog Pangarkar; David Anthony Provenzano; Richard Rauck; B Todd Sitzman; Matthew Smuck; Jan van Zundert; Kevin Vorenkamp; Mark S Wallace; Zirong Zhao
Journal:  Reg Anesth Pain Med       Date:  2020-04-03       Impact factor: 6.288

10.  Heritability of Thoracic Spine Curvature and Genetic Correlations With Other Spine Traits: The Framingham Study.

Authors:  Michelle S Yau; Serkalem Demissie; Yanhua Zhou; Dennis E Anderson; Amanda L Lorbergs; Douglas P Kiel; Brett T Allaire; Laiji Yang; L Adrienne Cupples; Thomas G Travison; Mary L Bouxsein; David Karasik; Elizabeth J Samelson
Journal:  J Bone Miner Res       Date:  2016-09-06       Impact factor: 6.741

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