Evidence map›Paper›PMID 26495250›Full record

ArticleWorld journal of orthopedics2015

Volume and fat infiltration of spino-pelvic musculature in adults with spinal deformity.

Bertrand Moal, Nicolas Bronsard, José G Raya, Jean Marc Vital, Frank Schwab, Wafa Skalli, Virginie Lafage

Open access · hybridAbstract read
In one paragraph

Article in World journal of orthopedics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Diagonal paraspinal muscle degeneration and osteoporosis were associated with rotatory subluxation in degenerative lumbar 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
  3. Article
  4. Relationship between global muscle atrophy and sagittal imbalance in patients with degenerative lumbar scoliosis: a study based on three-dimensional reconstruction.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
  5. Review
  6. Article
  7. Article
  8. Cross-sectional area and fat infiltration of the lumbar spine muscles in patients with back disorders: a deep learning-based big data analysis.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
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Spino-femoral muscles affect sagittal alignment and compensatory recruitment: a new look into soft tissues in adult spinal deformity.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 · 2020
    Article
  16. Relationships between radiographic parameters and spinopelvic muscles in adult spinal deformity 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 · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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

7 authors at 1 institution in 1 country.

Bertrand MoalBertrand Moal, Frank Schwab, Virginie Lafage, Spine Division, Hospital for Joint Diseases, New-York University University Langone Medical Center, New York, NY 10003, United States.
Nicolas BronsardBertrand Moal, Frank Schwab, Virginie Lafage, Spine Division, Hospital for Joint Diseases, New-York University University Langone Medical Center, New York, NY 10003, United States.
José G RayaBertrand Moal, Frank Schwab, Virginie Lafage, Spine Division, Hospital for Joint Diseases, New-York University University Langone Medical Center, New York, NY 10003, United States.
Jean Marc VitalBertrand Moal, Frank Schwab, Virginie Lafage, Spine Division, Hospital for Joint Diseases, New-York University University Langone Medical Center, New York, NY 10003, United States.
Frank SchwabBertrand Moal, Frank Schwab, Virginie Lafage, Spine Division, Hospital for Joint Diseases, New-York University University Langone Medical Center, New York, NY 10003, United States.
Wafa SkalliBertrand Moal, Frank Schwab, Virginie Lafage, Spine Division, Hospital for Joint Diseases, New-York University University Langone Medical Center, New York, NY 10003, United States.
Virginie LafageBertrand Moal, Frank Schwab, Virginie Lafage, Spine Division, Hospital for Joint Diseases, New-York University University Langone Medical Center, New York, NY 10003, United States.
NYU Langone Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate fat infiltration and volume of spino-pelvic muscles in adults spinal deformity (ASD) with magnetic resonance imaging (MRI) and 3D reconstructions.

methodsNineteen female ASD patients (mean age 60 ± 13) were included prospectively and consecutively and had T1-weighted Turbo Spin Echo sequence MRIs with Dixon method from the proximal tibia up to T12 vertebra. The Dixon method permitted to evaluate the proportion of fat inside each muscle (fat-water ratio). In order to investigate the accuracy of the Dixon method for estimating fat vs water, the same MRI acquisition was performed on phantoms of four vials composed of different proportion of fat vs water. With Muscl'X software, 3D reconstructions of 17 muscles or group of muscles were obtained identifying the muscle's contour on a limited number of axial images [Deformation of parametric specific objects (DPSO) Method]. Musclar volume (Vmuscle), infiltrated fat volume (Vfat) and percentage of fat infiltration [Pfat, calculated as follow: Pfat = 100 × (Vfat/Vmuscle)] were characterized by extensor or flexor function respectively for the spine, hip and knee and theirs relationship with demographic data were investigated.

resultsPhantom acquisition demonstrated a non linear relation between Dixon fat-water ratio and the real fat-water ratio. In order to correct the Dixon fat-water ratio, the non linear relation was approximated with a polynomial function of degree three using the phantom acquisition. On average, Pfat was 13.3% ± 5.3%. Muscles from the spinal extensor group had a Pfat significantly greater than the other muscles groups, and the largest variability (Pfat = 31.9% ± 13.8%, P < 0.001). Muscles from the hip extensor group ranked 2(nd) in terms of Pfat (14% ± 8%), and were significantly greater than those of the knee extensor (P = 0.030). Muscles from the knee extensor group demonstrated the least Pfat (12% ± 8%). They were also the only group with a significant correlation between Vmuscle and Pfat (r = -0.741, P < 0.001), however this correlation was lacking in the other groups. No correlation was found between the Vmuscle total and age or body mass index. Except for the spine flexors, Pfat was correlated with age. Vmuscle and Vfat distributions demonstrated that muscular degeneration impacted the spinal extensors most.

conclusionMechanisms of fat infiltration are not similar among the muscle groups. Degeneration impacted the spinal and hip extensors most, key muscles of the sagittal alignment.

Indexed as

Adults with spinal deformityDixon methodFat infiltrationMuscular degenerationMuscular volumeSpino-pelvic musculature

Identifiers

PMID26495250
PMCPMC4610915
OpenAlexW2397151765

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.