ArticleJournal of orthopaedic research : official publication of the Orthopaedic Research Society2017
Incorporation of CT-based measurements of trunk anatomy into subject-specific musculoskeletal models of the spine influences vertebral loading predictions.
Article in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Advances in Musculoskeletal Modeling of the Thoraco-Lumbar Spine: A Comprehensive Systematic Review.Annals of biomedical engineering · 2025Pooled it
- Moment-rotation behavior of intervertebral joints in flexion-extension, lateral bending, and axial rotation at all levels of the human spine: A structured review and meta-regression analysis.Journal of biomechanics · 2020Pooled it
- Machine learning outperforms anthropometric scaling in predicting muscle parameters and spinal loading: a subject-specific musculoskeletal modeling 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 · 2026Article
- Metastatic Spine Disease Alters Vertebral Load-To-Strength Ratios in Cancer Patients Compared to Healthy Individuals.JOR spine · 2026Article
- Physiological and Anthropometric Factors Associated With Spine Loading Estimates From Imaging-Based Subject-Specific Musculoskeletal Models.JOR spine · 2025Article
- The triadic relationship between spinal posture, loading, and degeneration.Frontiers in bioengineering and biotechnology · 2025Article
- Using inertial measurement units to estimate spine joint kinematics and kinetics during walking and running.Scientific reports · 2024Article
- Article
- EMG Validation of a Subject-Specific Thoracolumbar Spine Musculoskeletal Model During Dynamic Activities in Older Adults.Annals of biomedical engineering · 2023Article
- Technology and Tool Development for BACPAC: Qualitative and Quantitative Analysis of Accelerated Lumbar Spine MRI with Deep-Learning Based Image Reconstruction at 3T.Pain medicine (Malden, Mass.) · 2023Article
- Deep Learning for Multi-Tissue Segmentation and Fully Automatic Personalized Biomechanical Models from BACPAC Clinical Lumbar Spine MRI.Pain medicine (Malden, Mass.) · 2023Article
- Dependence of trunk muscle size and position on age, height, and weight in a multi-ethnic cohort of middle-aged and older men and women.Journal of biomechanics · 2023Article
- Effects of geometric individualisation of a human spine model on load sharing: neuro-musculoskeletal simulation reveals significant differences in ligament and muscle contribution.Biomechanics and modeling in mechanobiology · 2023Article
- Multibody Models of the Thoracolumbar Spine: A Review on Applications, Limitations, and Challenges.Bioengineering (Basel, Switzerland) · 2023Review
- Construction of the Adjusted Scoliosis 3D Finite Element Model and Biomechanical Analysis under Gravity.Orthopaedic surgery · 2023Article
- A computational method for estimating trunk muscle activations during gait using lower extremity muscle synergies.Frontiers in bioengineering and biotechnology · 2022Article
- Evaluation of Load-To-Strength Ratios in Metastatic Vertebrae and Comparison With Age- and Sex-Matched Healthy Individuals.Frontiers in bioengineering and biotechnology · 2022Article
- Validation of a Patient-Specific Musculoskeletal Model for Lumbar Load Estimation Generated by an Automated Pipeline From Whole Body CT.Frontiers in bioengineering and biotechnology · 2022Article
- Computational modelling of the scoliotic spine: A literature review.International journal for numerical methods in biomedical engineering · 2021Review
- Patterns of Load-to-Strength Ratios Along the Spine in a Population-Based Cohort to Evaluate the Contribution of Spinal Loading to Vertebral Fractures.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
We created subject-specific musculoskeletal models of the thoracolumbar spine by incorporating spine curvature and muscle morphology measurements from computed tomography (CT) scans to determine the degree to which vertebral compressive and shear loading estimates are sensitive to variations in trunk anatomy. We measured spine curvature and trunk muscle morphology using spine CT scans of 125 men, and then created four different thoracolumbar spine models for each person: (i) height and weight adjusted (Ht/Wt models); (ii) height, weight, and spine curvature adjusted (+C models); (iii) height, weight, and muscle morphology adjusted (+M models); and (iv) height, weight, spine curvature, and muscle morphology adjusted (+CM models). We determined vertebral compressive and shear loading at three regions of the spine (T8, T12, and L3) for four different activities. Vertebral compressive loads predicted by the subject-specific CT-based musculoskeletal models were between 54% lower to 45% higher from those estimated using musculoskeletal models adjusted only for subject height and weight. The impact of subject-specific information on vertebral loading estimates varied with the activity and spinal region. Vertebral loading estimates were more sensitive to incorporation of subject-specific spinal curvature than subject-specific muscle morphology. Our results indicate that individual variations in spine curvature and trunk muscle morphology can have a major impact on estimated vertebral compressive and shear loads, and thus should be accounted for when estimating subject-specific vertebral loading. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 35:2164-2173, 2017.
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