Evidence map›Paper›PMID 35316441›Full record

ArticleAnnals of biomedical engineering2022

On the Three-Dimensional Mechanical Behavior of Human Breast Tissue.

Christian Goodbrake, David S Li, Hossein Aghakhani, Alejandro Contreras, Gregory P Reece, Mia K Markey, Michael S Sacks

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. A novel diffusion tensor based three-dimensional constitutive model for human breast tissue.Journal of the mechanical behavior of biomedical materials · 2025
    Article
  3. Article
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

7 authors.

Christian GoodbrakeJames T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA.
David S LiJames T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA.
Hossein AghakhaniJames T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA.
Alejandro ContrerasDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Gregory P ReeceDepartment of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Mia K MarkeyDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA.
Michael S SacksJames T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA. msacks@oden.utexas.edu.ORCID http://orcid.org/0000-0002-3199-2204

Funding

3-D modeling-based decision support for optimizing quality of life following breast reconstructionR01CA203984 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI MARKEY, MIA K, MERCHANT, FATIMA AZIZ · 2016 to 2020
$3.4M
Comprehensive Training Program in Imaging Science and InformaticsT32EB007507 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI MARKEY, MIA K, RYLANDER, HENRY GRADY · 2009 to 2024
$2.7M
Enhanced Biomechanical Modeling of the Breast for Womens HealthR01EB032533 · NIBIB · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BROCK, KRISTY, REECE, GREG PAUL · 2022 to 2025
$2.5M
NCI NIH HHS R01 CA203984NIBIB NIH HHS R01 EB032533NIBIB NIH HHS T32 EB007507NIH HHS R01 CA203984NIH HHS T32 EB007507
6 · The paper itself

Abstract

As the human breast undergoes complex, large-scale, fully three dimensional deformations in vivo, three-dimensional (3D) characterization of its mechanical behavior is fundamental to its diagnosis, treatment, and surgical modifications. Its anisotropic, heterogeneous fibrous structure results in complex behavior at both the tissue and organ levels. Mathematically modeling of this complex anisotropic behavior is thus critical to the proper simulation of the human breast. Yet, current breast tissue constitutive models do not account for these complexities, so that there is a pressing need for more detailed fully 3D analysis. To this end, we performed a full 3D kinematic mechanical evaluation of human fibroglandular and adipose breast tissues. We utilized our recently developed 3D kinematic numerical-experimental approach to acquire force-displacement data from both breast tissue subtypes. This was done by subjecting cuboidal test specimens, aligned to the anatomical axes,to both pure shear and simple compression loading paths. We then developed novel constitutive model that was able to simulate the unique anisotropic tension/compression behaviors observed. Constitutive model parameters were determined using a detailed finite element model of the experimental setup coupled to nonlinear optimization. We found that human breast tissues displayed complex anisotropic behavior, with strong, directionally dependent non-linearities. This was especially true for the fibroglandular tissue. The novel constitutive model was also able fully capture these behaviors, including states of combined tension and compression (i.e. in pure shear). The results of this study suggest that human breast tissue is complex in its mechanical response, exhibiting varying levels of anisotropy. Future studies will be required to link the observed anisotropy to the physical structure of the tissue, as well as mapping this heterogeneity and anisotropy across individuals.

Indexed as

Mechanical PhenomenaAnisotropyBiomechanical PhenomenaComputer SimulationFinite Element AnalysisHumansStress, MechanicalBreastConstitutive modelingFinite element modelingMechanical testing

Identifiers

PMID35316441
PMCPMC10116697

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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.