Evidence map›Paper›PMID 42560607›Full record

ArticleMedical & biological engineering & computing2026

Comparative finite element modelling of surgical meshes at macro and mesoscale: assessing the role of morphology on mechanical behavior.

Vittoria Civilini, Alessandra Aldieri, Dario Carbonaro, Vincenzo Giacalone, Alberto L Audenino, Mara Terzini

Abstract readComparative Study
In one paragraph

Article in Medical & biological engineering & computing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

6 authors.

Vittoria CiviliniDepartment of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi, 24, Turin, 10129, Italy. vittoria.civilini@polito.it.ORCID http://orcid.org/0000-0002-5883-1611
Alessandra AldieriDepartment of Industrial Engineering, Alma Mater Studiorum - University of Bologna, Bologna, 40126, Italy.ORCID http://orcid.org/0000-0002-2397-3353
Dario CarbonaroDepartment of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi, 24, Turin, 10129, Italy.ORCID http://orcid.org/0009-0004-0807-4538
Vincenzo GiacaloneDepartment of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi, 24, Turin, 10129, Italy.ORCID http://orcid.org/0000-0001-6613-6419
Alberto L AudeninoDepartment of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi, 24, Turin, 10129, Italy.ORCID http://orcid.org/0000-0002-4877-3630
Mara TerziniDepartment of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi, 24, Turin, 10129, Italy.ORCID http://orcid.org/0000-0002-5699-6009

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic meshes are widely used in abdominal wall surgery, yet recurrences remain common. Understanding how mesh morphology evolves under physiological loads is therefore crucial. In this work, a mesoscale finite element approach was developed and compared against the conventional macroscale approach to investigate the mechanical response of lightweight and standard weight polypropylene meshes using previously performed experimental tests. The new mesoscale approach reconstructed the porous architecture from high-resolution images, allowing anisotropy to emerge from geometry while using an isotropic hyperelastic material formulation. Macroscale models were implemented for comparison, modelling meshes as homogeneous surfaces with an anisotropic hyperelastic formulation. Material properties in both approaches were calibrated on uniaxial tensile tests and evaluated through ball burst simulations. Both strategies showed comparable agreement with experiments at the surgical mesh-level. However, mesoscale models provided insights into pore-level mechanisms, including deformation and collapse, confirmed through image-based tracking. They also confirmed that the observed anisotropy can be reproduced numerically by reconstructing the textile architecture. In conclusion, while the macroscale approach is faster to implement, mesoscale models better capture how structural features influence pore-level mechanical response. Integrating this approach into more complex simulations could help predict in vivo performance and guide the design of next-generation surgical meshes.

Indexed as

Finite Element AnalysisSurgical MeshAnisotropyComputer SimulationMaterials TestingPolypropylenesPorosityStress, MechanicalTensile StrengthPolypropylenesHyperelastic textileMesoscale FE modelsPore deformationSurgical meshTextile

Identifiers

PMID42560607
PMCPMC13635049

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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.