Evidence map›Paper›PMID 41910844›Full record

ArticleBiomechanics and modeling in mechanobiology2026

Mechanical behavior of human breast tissues: ex vivo and in silico characterization.

Ana Margarida Teixeira, António Diogo André, Marco Parente, Maria da Luz Barroso, Cristina Cunha, Horácio Costa, Pedro Martins

Abstract read
In one paragraph

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. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ana Margarida TeixeiraFaculty of Engineering of University of Porto, Porto, Portugal.
António Diogo AndréFaculty of Engineering of University of Porto, Porto, Portugal.
Marco ParenteFaculty of Engineering of University of Porto, Porto, Portugal.
Maria da Luz BarrosoGaia/Espinho Hospital Center: Plastic, Reconstructive, Craniomaxillofacial, Hand Surgery Service and Microsurgery Unit, Vila Nova de Gaia, Portugal.
Cristina CunhaGaia/Espinho Hospital Center: Plastic, Reconstructive, Craniomaxillofacial, Hand Surgery Service and Microsurgery Unit, Vila Nova de Gaia, Portugal.
Horácio CostaGaia/Espinho Hospital Center: Plastic, Reconstructive, Craniomaxillofacial, Hand Surgery Service and Microsurgery Unit, Vila Nova de Gaia, Portugal.
Pedro MartinsAragonese Foundation for Research and Development (ARAID), Instituto de Investigación en Ingeniería de Aragón (i3A), Universidad de Zaragoza, Zaragoza, Spain. pmartins@unizar.es.

Funding

Fundação para a Ciência e a Tecnologia 2020.08718.BD
6 · The paper itself

Abstract

To study the mechanics of a biological tissue is crucial to understand its behavior under a variety of realistic loading conditions. In particular, an accurate estimation of the mechanical properties of breast tissues is essential to enhance current diagnostic techniques, such as mammography, and to improve clinical treatments, including tissue engineering approaches. This study focuses on the mechanical characterization of human breast tissues, harvested from women who underwent a mammary reduction surgery. Ex vivo experiments, consisted in indentation tests, were performed to determine the elastic properties. Additionally, using inverse finite element analysis, the hyperelastic properties were obtained for the Yeoh and Ogden (N = 3) constitutive models. The samples were grouped based on the characteristics of the female population (i.e., age, body mass index and menopausal status) and according to the breast side (tissue sample site). Significant differences in the Young's modulus were only observed in association with age and menopausal status, in the first linear region (3.75-11.5% strain) of the experimental curve. In the second linear region (22.5-30% strain), although samples presented a higher stiffness, no significant differences were observed. Regarding the hyperelastic properties, Yeoh and Ogden (N = 3) models accurately fit the experimental data, presenting errors lower than 3.26% and 3.86%, respectively. In this work, the model developed successfully converged with a 3 mm of indentation (corresponding to 30% of deformation), enabling reliable analysis in the large deformations domain. The findings of this study provide valuable insights that can contribute to future clinical applications and research, including improvements in diagnostic techniques, treatments and esthetic reconstructions.

Indexed as

BreastComputer SimulationAdultAgedBiomechanical PhenomenaElastic ModulusFemaleFinite Element AnalysisHumansMiddle AgedModels, BiologicalStress, MechanicalBreast tissuesHyperelasticityIndentation testsInverse finite element modelMechanical properties

Identifiers

PMID41910844
PMCPMC13035888

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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.