ArticleFrontiers in bioengineering and biotechnology2021
Subject-Specific Alignment and Mass Distribution in Musculoskeletal Models of the Lumbar Spine.
Article in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Advances in Musculoskeletal Modeling of the Thoraco-Lumbar Spine: A Comprehensive Systematic Review.Annals of biomedical engineering · 2025Pooled it
- Not just alignment: body shape influences adult spinal deformity biomechanics.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
- Abdominal wall tension after spinal deformity correction compromises postoperative biomechanics and may contribute to proximal junctional kyphosis.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
- Subject-Specific Musculoskeletal Modeling: The Future of Predicting and Preventing Proximal Junctional Failure in Adult Spinal Deformity.JOR spine · 2025Article
- Towards a radiation-free clinical decision support system for intraoperative spinal alignment assessment.Medical & biological engineering & computing · 2025Article
- Main elements of current spine biomechanics research: model, installation and test data.Frontiers in bioengineering and biotechnology · 2025Review
- The triadic relationship between spinal posture, loading, and degeneration.Frontiers in bioengineering and biotechnology · 2025Article
- Article
- Musculoskeletal spine modeling in large patient cohorts: how morphological individualization affects lumbar load estimation.Frontiers in bioengineering and biotechnology · 2024Article
- Recent Advances in Coupled MBS and FEM Models of the Spine-A Review.Bioengineering (Basel, Switzerland) · 2023Review
- Multibody Models of the Thoracolumbar Spine: A Review on Applications, Limitations, and Challenges.Bioengineering (Basel, Switzerland) · 2023Review
- The Role of Multifidus in the Biomechanics of Lumbar Spine: A Musculoskeletal Modeling Study.Bioengineering (Basel, Switzerland) · 2023Article
- 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
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Musculoskeletal modeling is a well-established method in spine biomechanics and generally employed for investigations concerning both the healthy and the pathological spine. It commonly involves inverse kinematics and optimization of muscle activity and provides detailed insight into joint loading. The aim of the present work was to develop and validate a procedure for the automatized generation of semi-subject-specific multi-rigid body models with an articulated lumbar spine. Individualization of the models was achieved with a novel approach incorporating information from annotated EOS images. The size and alignment of bony structures, as well as specific body weight distribution along the spine segments, were accurately reproduced in the 3D models. To ensure the pipeline's robustness, models based on 145 EOS images of subjects with various weight distributions and spinopelvic parameters were generated. For validation, we performed kinematics-dependent and segment-dependent comparisons of the average joint loads obtained for our cohort with the outcome of various published
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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.