ArticleScientific data2024
Dataset of Finite Element Models of Normal and Deformed Thoracolumbar Spine.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Dataset for studying deformation in 3D patient-specific pulmonary artery anatomies.Scientific data · 2026Article
- Comparison of short-segment vs. long-segment fixation in posterior osteotomy for kyphotic deformity: effects on postoperative alignment and complications.Frontiers in surgery · 2026Article
- Implant density reduction to avoid proximal junctional failure in adult spine surgery: Computer models and simulations.North American Spine Society journal · 2025Article
- Thoracolumbar Biomechanical Analysis of Lenke Type 1 Adolescent Idiopathic Scoliosis Across Roussouly Classifications.JOR spine · 2025Article
- A large, paired dataset of robotic and handheld lumbar spine ultrasound with ground-truth CT benchmarking.Scientific data · 2025Article
- A pipeline to morph finite element models of the lumbar spine for generation of customised spinal cages.Journal of orthopaedic surgery and research · 2025Article
- A nerve root decompression position identified by 3D CT scan: the modified reversed contralateral axial rotation position for patients with lumbar disc prolapse.Journal of orthopaedic surgery and research · 2025Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Adult spine deformity (ASD) is prevalent and leads to a sagittal misalignment in the vertebral column. Computational methods, including Finite Element (FE) Models, have emerged as valuable tools for investigating the causes and treatment of ASD through biomechanical simulations. However, the process of generating personalised FE models is often complex and time-consuming. To address this challenge, we present a dataset of FE models with diverse spine morphologies that statistically represent real geometries from a cohort of patients. These models are generated using EOS images, which are utilized to reconstruct 3D surface spine models. Subsequently, a Statistical Shape Model (SSM) is constructed, enabling the adaptation of a FE hexahedral mesh template for both the bone and soft tissues of the spine through mesh morphing. The SSM deformation fields facilitate the personalization of the mean hexahedral FE model based on sagittal balance measurements. Ultimately, this new hexahedral SSM tool offers a means to generate a virtual cohort of 16807 thoracolumbar FE spine models, which are openly shared in a public repository.
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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.