ArticleJournal of biomechanical engineering2016
Quantitative Computed Tomography Protocols Affect Material Mapping and Quantitative Computed Tomography-Based Finite-Element Analysis Predicted Stiffness.
Article in Journal of biomechanical engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed, 31 citations in OpenAlex.
- Phantomless calibration of glenoid trabecular bone density: improved accuracy using age-stratified reference tissue densities.JBMR plus · 2026Article
- BoneDensityMapping: an R package for processing and visualizing bone density data.Scientific reports · 2026Article
- Influence of image reconstruction kernel on computed tomography-based finite element analysis in the clinical opportunistic screening of osteoporosis-A preliminary result.Frontiers in endocrinology · 2023Article
- Article
- Biomechanical analysis of vertebral wedge deformity in elderly women with quantitative CT-based finite element analysis.BMC musculoskeletal disorders · 2022Article
- Sensitivity of the stress field of the proximal femur predicted by CT-based FE analysis to modeling uncertainties.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022Article
- Material properties of human vertebral trabecular bone under compression can be predicted based on quantitative computed tomography.BMC musculoskeletal disorders · 2021Article
- Opportunistic Computed Tomography and Spine Surgery: A Narrative Review.Global spine journal · 2020Article
- Fracture risk assessment and clinical decision making for patients with metastatic bone disease.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2020Review
- Deciphering the "Art" in Modeling and Simulation of the Knee Joint: Overall Strategy.Journal of biomechanical engineering · 2019Review
- Effects of Scan Resolutions and Element Sizes on Bovine Vertebral Mechanical Parameters from Quantitative Computed Tomography-Based Finite Element Analysis.Journal of healthcare engineering · 2017Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Quantitative computed tomography-based finite-element analysis (QCT/FEA) has become increasingly popular in an attempt to understand and possibly reduce vertebral fracture risk. It is known that scanning acquisition settings affect Hounsfield units (HU) of the CT voxels. Material properties assignments in QCT/FEA, relating HU to Young's modulus, are performed by applying empirical equations. The purpose of this study was to evaluate the effect of QCT scanning protocols on predicted stiffness values from finite-element models. One fresh frozen cadaveric torso and a QCT calibration phantom were scanned six times varying voltage and current and reconstructed to obtain a total of 12 sets of images. Five vertebrae from the torso were experimentally tested to obtain stiffness values. QCT/FEA models of the five vertebrae were developed for the 12 image data resulting in a total of 60 models. Predicted stiffness was compared to the experimental values. The highest percent difference in stiffness was approximately 480% (80 kVp, 110 mAs, U70), while the lowest outcome was ∼1% (80 kVp, 110 mAs, U30). There was a clear distinction between reconstruction kernels in predicted outcomes, whereas voltage did not present a clear influence on results. The potential of QCT/FEA as an improvement to conventional fracture risk prediction tools is well established. However, it is important to establish research protocols that can lead to results that can be translated to the clinical setting.
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Registered trials
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