Evidence map›Paper›PMID 38417587›Full record

ArticleThe spine journal : official journal of the North American Spine Society2024

Investigating the associations between lumbar paraspinal muscle health and age, BMI, sex, physical activity, and back pain using an automated computer-vision model: a UK Biobank study.

Evert Onno Wesselink, Annelies Pool-Goudzwaard, Benjamin De Leener, Christine Sze Wan Law, Meredith Blair Fenyo, Gabriella Marie Ello, Michel Willem Coppieters, James Matthew Elliott, Sean Mackey, Kenneth Arnold Weber

Abstract read
In one paragraph

Article in The spine journal : official journal of the North American Spine Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Detecting scoliosis at scale using automated Cobb angle analysis in the UK Biobank.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
  7. Observational
  8. Article
  9. Article
  10. Automated lumbar muscles segmentation with segment anything model for adult degenerative scoliosis.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
  11. Review
  12. Article
  13. Article
  14. Chronicity and physical activity levels independently associate with spatial patterns of multifidus fat infiltration in chronic low back pain patients.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
  15. Radiomics and Back Pain.Global spine journal · 2026
    Review
  16. Article
  17. Article
  18. Article
  19. Spatial patterns of fat within the deep multifidus as a biomarker for chronic low back pain.The spine journal : official journal of the North American Spine Society · 2026
    Observational
  20. Changes of water and muscle content in lumbar paraspinal muscle degeneration and gender differences during aging using dual-energy CT.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 · 2025
    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

10 authors.

Evert Onno WesselinkFaculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Van der Boechorststraat 9, 1081 BT Amsterdam, The Netherlands; Division of Pain Medicine, Department of Anaesthesiology, Perioperative and Pain Medicine, Stanford University, 1070 Arastradero Road, Palo Alto, CA 94304, USA. Electronic address: e.o.wesselink@vu.nl.
Annelies Pool-GoudzwaardFaculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Van der Boechorststraat 9, 1081 BT Amsterdam, The Netherlands; SOMT University of Physiotherapy, Softwareweg 5, 3821 BN Amersfoort, the Netherlands.
Benjamin De LeenerDepartment of Computer Engineering and Software Engineering, Polytechnique Montreal, 2900 Edouard Montpetit Blvd, Quebec H3T 1J4, Canada.
Christine Sze Wan LawDivision of Pain Medicine, Department of Anaesthesiology, Perioperative and Pain Medicine, Stanford University, 1070 Arastradero Road, Palo Alto, CA 94304, USA.
Meredith Blair FenyoDivision of Pain Medicine, Department of Anaesthesiology, Perioperative and Pain Medicine, Stanford University, 1070 Arastradero Road, Palo Alto, CA 94304, USA.
Gabriella Marie ElloDivision of Pain Medicine, Department of Anaesthesiology, Perioperative and Pain Medicine, Stanford University, 1070 Arastradero Road, Palo Alto, CA 94304, USA.
Michel Willem CoppietersFaculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Van der Boechorststraat 9, 1081 BT Amsterdam, The Netherlands; School of Health Sciences and Social Work, Menzies Health Institute Queensland, Griffith University, Brisbane and Gold Coast, 170 Kessels Road, 4111 Brisbane, Australia.
James Matthew ElliottThe University of Sydney, Faculty of Medicine and Health and the Northern Sydney Local Health District, The Kolling Institute, Reserve Road, St Leonards NSW Sydney 2065, Australia.
Sean MackeyDivision of Pain Medicine, Department of Anaesthesiology, Perioperative and Pain Medicine, Stanford University, 1070 Arastradero Road, Palo Alto, CA 94304, USA.
Kenneth Arnold WeberDivision of Pain Medicine, Department of Anaesthesiology, Perioperative and Pain Medicine, Stanford University, 1070 Arastradero Road, Palo Alto, CA 94304, USA.

Funding

Neuroimaging-Based Brain and Spinal Cord Biomarkers for Cervical RadiculopathyK23NS104211 · NINDS · STANFORD UNIVERSITY · PI WEBER, KENNETH ARNOLD · 2018 to 2022
$875k
Mentoring in Discovery and Validation of Clinical Chronic Pain BiomarkersK24NS126781 · NINDS · STANFORD UNIVERSITY · PI MACKEY, SEAN C · 2021 to 2021
$324k
NINDS NIH HHS K23 NS104211NINDS NIH HHS K24 NS126781NINDS NIH HHS L30 NS108301
6 · The paper itself

Abstract

background contextThe role of lumbar paraspinal muscle health in back pain (BP) is not straightforward. Challenges in this field have included the lack of tools and large, heterogenous datasets to interrogate the association between muscle health and BP. Computer-vision models have been transformative in this space, enabling the automated quantification of muscle health and the processing of large datasets. PURPOSE: To investigate the associations between lumbar paraspinal muscle health and age, sex, BMI, physical activity, and BP in a large, heterogenous dataset using an automated computer-vision model.

designCross-sectional study. PATIENT SAMPLE: Participants from the UK Biobank with abdominal Dixon fat-water MRI (N=9,564) were included (41.8% women, mean [SD] age: 63.5 [7.6] years, BMI: 26.4 [4.1] kg/m OUTCOME MEASURES: Intramuscular fat (IMF) and average cross-sectional area (aCSA) were automatically derived using a computer-vision model for the left and right lumbar multifidus (LM), erector spinae (ES), and psoas major (PM) from the L1 to L5 vertebral levels.

methodsTwo-tailed partial Pearson correlations were generated for each muscle to assess the relationships between the muscle measures (IMF and aCSA) and age (controlling for BMI, sex, and physical activity), BMI (controlling for age, sex, and physical activity), and physical activity (controlling for age, sex, and BMI). One-way ANCOVA was used to identify sex differences in IMF and aCSA for each muscle while controlling for age, BMI, and physical activity. Similarly, one-way ANCOVA was used to identify between-group differences (no pain, acute BP, and chronic BP) for each muscle and along the superior-inferior expanse of the lumbar spine while controlling for age, BMI, sex, and physical activity (α=0.05).

resultsFemales had higher IMF (LM mean difference [MD]=11.1%, ES MD=10.2%, PM MD=0.3%, p<.001) and lower aCSA (LM MD=47.6 mm

conclusionsParaspinal muscle health is associated with age, BMI, sex, and physical activity with the exception of the association between LM aCSA and age and physical activity. People with BP (chronic>acute) have higher IMF and lower aCSA than people reporting no pain. The differences were not localized but broadly distributed across the lumbar spine. When interpreting measures of paraspinal muscle health in the research or clinical setting, the associations with age, BMI, sex, and physical activity should be considered.

Indexed as

Body Mass IndexExerciseParaspinal MusclesAgedAge FactorsBack PainCross-Sectional StudiesFemaleHumansLow Back PainLumbar VertebraeLumbosacral RegionMagnetic Resonance ImagingMaleMiddle AgedSex FactorsAdipose tissueArtificial intelligenceBack musclesFatty infiltrationLow back painMagnetic resonance imaging

Identifiers

PMID38417587
PMCPMC11779699

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Registered trials

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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.