Evidence map›Paper›PMID 42645266›Full record

ArticleBiomimetics (Basel, Switzerland)2026

Finite Element Evaluation of Biomimetic Porous Ti6Al4V Implants for Femoral Reconstruction: Mechanical Performance of Mono-Block and Modular Designs.

Antonio de Nigris, Joaquin Daud, Donato Monopoli, Luigi Ambrosone

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Antonio de NigrisDepartment of Medicine and Health Sciences "V. Tiberio", University of Molise, Via De Sanctis, 86100 Campobasso, Italy.ORCID 0009-0007-5883-5763
Joaquin DaudDepartment of Biomedical Engineering, Instituto Tecnologico de Canarias, C/ Lugar la Punta s/n, Pozo Izquierdo, 35119 Santa Lucía de Tirajana, Spain.
Donato MonopoliDepartment of Biomedical Engineering, Instituto Tecnologico de Canarias, C/ Lugar la Punta s/n, Pozo Izquierdo, 35119 Santa Lucía de Tirajana, Spain.ORCID 0000-0002-5576-3254
Luigi AmbrosoneDepartment of Medicine and Health Sciences "V. Tiberio", University of Molise, Via De Sanctis, 86100 Campobasso, Italy.ORCID 0000-0003-4363-6861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two design solutions such as modular and mono-block Ti6Al4V porous implants for femoral defect repair were implemented and compared. Static stress analysis on each model was performed via finite element analysis to investigate potential critical elements that might cause system failure under physiological loads. Prior to calculations, a mesh convergence study was realized by varying the minimum element sizes. The entire bone-prosthetic system was modeled, and design optimization was performed. For mono-block implants, a less stressed configuration was found by changing the plate design. Comparison of the maximum Von Mises stress σmax and equivalent strain εeq between the models allowed for an understanding of the distribution of the loads and identify areas with critical stress concentration. The modular implant appeared to be highly solicited with stress shielding on epiphyses due to enhanced rigidity at the metal/bone interface. Finally, a study of the deformation on cancellous and cortical bone suggested that a more elastic junction with balanced strain delivery to the bone might improve tissue regeneration when using a mono-block implant.

Indexed as

equivalent strainfemur reconstructionfinite element analysismodular implantmono-block implantporous implantVon Mises stress

Identifiers

PMID42645266
PMCPMC13509624

What OpenQuestion holds

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Registered trials

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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.