Literature DB >> 24276945

Does magnetic resonance imaging predict future low back pain? A systematic review.

D Steffens1, M J Hancock, C G Maher, C Williams, T S Jensen, J Latimer.   

Abstract

BACKGROUND AND
OBJECTIVE: Magnetic resonance imaging (MRI) has the potential to identify pathology responsible for low back pain (LBP). However, the importance of findings on MRI remains controversial. We aimed to systematically review whether MRI findings of the lumbar spine predict future LBP in different samples with and without LBP. DATABASES AND DATA TREATMENT: MEDLINE, CINAHL and EMBASE databases were searched. Included were prospective cohort studies investigating the relationship between baseline MRI abnormalities of the lumbar spine and clinically important LBP outcome at follow-up. We excluded cohorts with specific diseases as the cause of their LBP. Associations between MRI findings and LBP pain outcomes were extracted from eligible studies.
RESULTS: A total of 12 studies met the inclusion criteria. Six studies presented data on participants with current LBP; one included a sample with no current LBP, three included a sample with no history of LBP and two included mixed samples. Due to small sample size, poor overall quality and the heterogeneity between studies in terms of participants, MRI findings and clinical outcomes investigated, it was not possible to pool findings. No consistent associations between MRI findings and outcomes were identified. Single studies reported significant associations for Modic changes type 1 with pain, disc degeneration with disability in samples with current LBP and disc herniation with pain in a mixed sample.
CONCLUSIONS: The limited number, heterogeneity and overall quality of the studies do not permit definite conclusions on the association of MRI findings of the lumbar spine with future LBP (PROSPERO: CRD42012002342).
© 2013 European Pain Federation - EFIC®

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Year:  2013        PMID: 24276945     DOI: 10.1002/j.1532-2149.2013.00427.x

Source DB:  PubMed          Journal:  Eur J Pain        ISSN: 1090-3801            Impact factor:   3.931


  33 in total

Review 1.  Advancing imaging technologies for patients with spinal pain: with a focus on whiplash injury.

Authors:  James M Elliott; Mark J Hancock; Rebecca J Crawford; Andrew C Smith; David M Walton
Journal:  Spine J       Date:  2017-07-31       Impact factor: 4.166

2.  Prospective Comparison of Changes in Lumbar Spine MRI Findings over Time between Individuals with Acute Low Back Pain and Controls: An Exploratory Study.

Authors:  J Panagopoulos; J S Magnussen; J Hush; C G Maher; M Crites-Battie; J G Jarvik; T S Jensen; M J Hancock
Journal:  AJNR Am J Neuroradiol       Date:  2017-08-03       Impact factor: 3.825

3.  Imaging versus no imaging for low back pain: a systematic review, measuring costs, healthcare utilization and absence from work.

Authors:  G P G Lemmers; W van Lankveld; G P Westert; P J van der Wees; J B Staal
Journal:  Eur Spine J       Date:  2019-02-22       Impact factor: 3.134

4.  The reassuring potential of spinal imaging results: development and testing of a brief, psycho-education intervention for patients attending secondary care.

Authors:  Emma L Karran; Yun-Hom Yau; Susan L Hillier; G Lorimer Moseley
Journal:  Eur Spine J       Date:  2017-11-17       Impact factor: 3.134

5.  Chronic low back pain in relation to Modic changes, bony endplate lesions, and disc degeneration in a prospective MRI study.

Authors:  Katariina Luoma; Tapio Vehmas; Liisa Kerttula; Mats Grönblad; Eeva Rinne
Journal:  Eur Spine J       Date:  2016-08-01       Impact factor: 3.134

Review 6.  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

7.  The association between Modic changes and pain during 1-year follow-up in patients with lumbar radicular pain.

Authors:  Elina Iordanova Schistad; Ansgar Espeland; Lars Jørgen Rygh; Cecilie Røe; Johannes Gjerstad
Journal:  Skeletal Radiol       Date:  2014-06-26       Impact factor: 2.199

Review 8.  Do MRI findings identify patients with low back pain or sciatica who respond better to particular interventions? A systematic review.

Authors:  Daniel Steffens; Mark J Hancock; Leani S M Pereira; Peter M Kent; Jane Latimer; Chris G Maher
Journal:  Eur Spine J       Date:  2015-09-02       Impact factor: 3.134

9.  Association of real-time sonoelastography findings with clinical parameters in lateral epicondylitis.

Authors:  Figen Kocyigit; Ersin Kuyucu; Ali Kocyigit; Duygu Tuncer Herek; Raziye Savkin; Ummuhan Bas Aslan; Nevzat Karabulut
Journal:  Rheumatol Int       Date:  2015-09-05       Impact factor: 2.631

10.  'Your spine is so worn out' - the influence of clinical diagnosis on beliefs in patients with non-specific chronic low back pain - a qualitative study'.

Authors:  Igor da Silva Bonfim; Leticia Amaral Corrêa; Leandro Alberto Calazans Nogueira; Ney Meziat-Filho; Felipe José Jandre Reis; Renato Santos de Almeida
Journal:  Braz J Phys Ther       Date:  2021-07-23       Impact factor: 3.377

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