ArticleBMC medical imaging2026
Association between 3 D CT-based volumetric fat infiltration of lumbar paraspinal muscles and bone mineral density: a clinical study.
Article in BMC medical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study investigated the association between the fat infiltration rate (FIR) of lumbar paraspinal muscles-specifically the multifidus, erector spinae, and psoas major-and bone mineral density (BMD) in postmenopausal women. By examining muscular and segmental (L2-L4) adiposity variations, we aimed to identify imaging biomarkers for early osteoporosis detection and to inform integrated "bone-muscle" therapeutic strategies.
methodsA retrospective analysis was performed on 120 postmenopausal women who underwent dual-energy X-ray absorptiometry (DXA) and lumbar computed tomography (CT) between 2024 and 2025. Participants were categorized into three cohorts-normal bone mass, osteopenia, and osteoporosis-based on DXA T-scores. Demographic data, including BMI, were recorded and subsequently utilized as a covariate in the regression models to ensure robust statistical adjustment. The L2-L4 paraspinal musculature was automatically segmented in 3D using 3D Slicer software with the MuscleMap plug-in to determine the FIR for each muscle group. Data normality was assessed using Shapiro-Wilk tests, while inter-group differences were compared via one-way ANOVA or Kruskal-Wallis H tests. Correlations were quantified using Pearson or Spearman analyses.
resultsAge was comparable across groups ( P = 0. 160 ), but BMI and average BMD differed significantly. Multifidus FIR showed a significant inverse correlation with BMD ( P < 0. 001 ). After adjusting for BMI, multifidus fat infiltration remained an independent predictor of BMD. At the segmental level, the L3 multifidus displayed the greatest inter-group variance and the strongest negative correlation with BMD ( r = -0. 689, P < 0. 001 ).
conclusionsLumbar paraspinal muscle adiposity, particularly in the L3 multifidus, is inversely associated with BMD in postmenopausal women. Consequently, L3 multifidus FIR is a statistically significant auxiliary imaging metric for proactive osteoporosis screening and the assessment of osteosarcopenia risk.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.