ArticleBiomechanics and modeling in mechanobiology2026
Including anisotropy in homogenised inverse remodelling algorithms for habitual load case estimation in bone.
Article in Biomechanics and modeling in mechanobiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Including anisotropy in homogenised inverse remodelling algorithms for habitual load case estimation in bone.Biomechanics and modeling in mechanobiology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Bone architecture, including local bone volume fraction and fabric anisotropy, is optimised to resist forces and moments induced by long-term average loading patterns. Finite element (FE)-based inverse bone remodelling allows to estimate a habitual load case using high-resolution computed tomography images. Homogenised FE models use less computational resources than micro-FE approaches but have so far been limited to density-based remodelling. This study aims to include fabric anisotropy in homogenised inverse bone remodelling algorithms for the estimation of long-term habitual loading conditions in bone. The newly developed theoretical framework was applied to 24 human distal tibia samples, and the influence of fabric anisotropy, St. Venant effect, and load case complexity on predicted forces, moments and objective function outcomes was analysed. Physiologically plausible forces and moments were obtained for all analysis types. Although the distal tibia is predominantly loaded in axial compression, the inclusion of additional forces and moments improved the optimisation quality by reducing the overall objective function (p < 0.001). In contrast, global optimisation outcomes were not significantly affected by the exclusion of boundary layer elements from the optimisation scheme despite the occurrence of relatively high stress discrepancies in these regions. Including microstructural orientation into the inverse bone remodelling algorithm led to a significant increase in the predicted load magnitude (p < 0.001) and a reduction in objective function values by approximately 50 %, suggesting improved agreement between the predicted load case and bone architecture. These findings underline the relevance of considering both bone volume fraction and fabric anisotropy for habitual load case estimation in bone using homogenized FE.
Indexed as
Identifiers
What OpenQuestion holds
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.