ArticleScientific reports2021
Statistical morphological analysis reveals characteristic paraspinal muscle asymmetry in unilateral lumbar disc herniation.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Preoperative paraspinal muscle fatty infiltration and prognosis after lumbar discectomy for disc herniation: a systematic review and meta-analysis.BMC musculoskeletal disorders · 2026Pooled it
- Deep learning-based structure segmentation and intramuscular fat annotation on lumbar magnetic resonance imaging.JOR spine · 2024Article
- Quantifying lumbar paraspinal intramuscular fat: Accuracy and reliability of automated thresholding models.North American Spine Society journal · 2024Article
- PILLAR: ParaspInaL muscLe segmentAtion pRoject - a comprehensive online resource to guide manual segmentation of paraspinal muscles from magnetic resonance imaging.BMC musculoskeletal disorders · 2023Article
- The association between morphological characteristics of paraspinal muscle and spinal disorders.Annals of medicine · 2023Review
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Authors and funding
6 authors.
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Abstract
Growing evidence suggests an association of lumbar paraspinal muscle morphology with low back pain (LBP) and lumbar pathologies. Unilateral spinal disorders provide unique models to study this association, with implications for diagnosis, prognosis, and management. Statistical shape analysis is a technique that can identify signature shape variations related to phenotypes but has never been employed in studying paraspinal muscle morphology. We present the first investigation using this technique to reveal disease-related paraspinal muscle asymmetry, using MRIs of patients with a single posterolateral disc herniation at the L5-S1 spinal level and unilateral leg pain. Statistical shape analysis was conducted to reveal disease- and phenotype-related morphological variations in the multifidus and erector spinae muscles at the level of herniation and the one below. With the analysis, shape variations associated with disc herniation were identified in the multifidus on the painful side at the level below the pathology while no pathology-related asymmetry in cross-sectional area (CSA) and fatty infiltration was found in either muscle. The results demonstrate higher sensitivity and spatial specificity for the technique than typical CSA and fatty infiltration measures. Statistical shape analysis holds promise in studying paraspinal muscle morphology to improve our understanding of LBP and various lumbar pathologies.
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