ReviewEuropean radiology experimental2020
Image-based biomechanical models of the musculoskeletal system.
Review in European radiology experimental, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed.
- Article
- Influence of aging on dermal elastin fiber architecture and skin firmness assessed by finite element modeling.Scientific reports · 2025Article
- Freeze drying and Lugol staining of human menisci reveal circumferential fibre volumes to guide meniscus implant design and virtual simulation.Scientific reports · 2025Article
- Biomechanical perspectives on image-based hip fracture risk assessment: advances and challenges.Frontiers in endocrinology · 2025Review
- Quantitative and Compositional MRI of the Articular Cartilage: A Narrative Review.Tomography (Ann Arbor, Mich.) · 2024Review
- How effective is proximal fibular osteotomy in redistributing joint pressures? Insights from an HTO comparative in-silico study.Journal of orthopaedic surgery and research · 2024Article
- Automated 2D and 3D finite element overclosure adjustment and mesh morphing using generalized regression neural networks.Medical engineering & physics · 2024Article
- Automatic segmentation of skeletal muscles from MR images using modified U-Net and a novel data augmentation approach.Frontiers in bioengineering and biotechnology · 2024Article
- Opportunities and Challenges in Applying AI to Evolutionary Morphology.Integrative organismal biology (Oxford, England) · 2024Review
- Finite element analysis of female pelvic organ prolapse mechanism: current landscape and future opportunities.Frontiers in medicine · 2024Review
- Displacement voxelization to resolve mesh-image mismatch: Application in deriving dense white matter fiber strains.Computer methods and programs in biomedicine · 2022Article
- Finite Element Assessment of Bone Fragility from Clinical Images.Current osteoporosis reports · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Finite element modeling is a precious tool for the investigation of the biomechanics of the musculoskeletal system. A key element for the development of anatomically accurate, state-of-the art finite element models is medical imaging. Indeed, the workflow for the generation of a finite element model includes steps which require the availability of medical images of the subject of interest: segmentation, which is the assignment of each voxel of the images to a specific material such as bone and cartilage, allowing for a three-dimensional reconstruction of the anatomy; meshing, which is the creation of the computational mesh necessary for the approximation of the equations describing the physics of the problem; assignment of the material properties to the various parts of the model, which can be estimated for example from quantitative computed tomography for the bone tissue and with other techniques (elastography, T1rho, and T2 mapping from magnetic resonance imaging) for soft tissues. This paper presents a brief overview of the techniques used for image segmentation, meshing, and assessing the mechanical properties of biological tissues, with focus on finite element models of the musculoskeletal system. Both consolidated methods and recent advances such as those based on artificial intelligence are described.
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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.