Evidence map›Paper›PMID 36892719›Full record

ReviewEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2023

MRI image features with an evident relation to low back pain: a narrative review.

Jasper W van der Graaf, Robert Jan Kroeze, Constantinus F M Buckens, Nikolas Lessmann, Miranda L van Hooff

Open access · hybridAbstract readReview
PubMed Publisher
In one paragraph

Review in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
8.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Relationship of disc degeneration after pubertal growth spurt to future low back pain: a longitudinal cohort study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Association between MRI measurements of lumbar spine alterations and self-reported outcomes of pain and disability in subjects with non-specific low back pain.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Jasper W van der GraafDiagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands. Jasper.vandergraaf@radboudumc.nl.ORCID http://orcid.org/0000-0001-8684-5175
Robert Jan KroezeDepartment of Orthopedic Surgery, Sint Maartenskliniek, Nijmegen, The Netherlands.ORCID http://orcid.org/0000-0002-0752-9519
Constantinus F M BuckensDepartment of Medical Imaging, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands.
Nikolas LessmannDiagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands.ORCID http://orcid.org/0000-0001-7935-9611
Miranda L van HooffDepartment of Orthopedic Surgery, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0001-5313-6436
Radboud University Nijmegen · NLSint Maartenskliniek · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLow back pain (LBP) is one of the most prevalent health condition worldwide and responsible for the most years lived with disability, yet the etiology is often unknown. Magnetic resonance imaging (MRI) is frequently used for treatment decision even though it is often inconclusive. There are many different image features that could relate to low back pain. Conversely, multiple etiologies do relate to spinal degeneration but do not actually cause the perceived pain. This narrative review provides an overview of all possible relevant features visible on MRI images and determines their relation to LBP.

methodsWe conducted a separate literature search per image feature. All included studies were scored using the GRADE guidelines. Based on the reported results per feature an evidence agreement (EA) score was provided, enabling us to compare the collected evidence of separate image features. The various relations between MRI features and their associated pain mechanisms were evaluated to provide a list of features that are related to LBP.

resultsAll searches combined generated a total of 4472 hits of which 31 articles were included. Features were divided into five different categories:'discogenic', 'neuropathic','osseous', 'facetogenic', and'paraspinal', and discussed separately.

conclusionOur research suggests that type I Modic changes, disc degeneration, endplate defects, disc herniation, spinal canal stenosis, nerve compression, and muscle fat infiltration have the highest probability to be related to LBP. These can be used to improve clinical decision-making for patients with LBP based on MRI.

Indexed as

Intervertebral Disc DegenerationIntervertebral Disc DisplacementLow Back PainHumansLumbar VertebraeMagnetic Resonance ImagingImage featuresLow back painMagnetic resonance imagingReview

Identifiers

PMID36892719
OpenAlexW4323653606

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.