Evidence map›Paper›PMID 41580516›Full record

ArticleAnnals of biomedical engineering2026

Evaluation of Natural Breasts and Post-Augmentation Breasts with Silicone Implants Using Subject-Specific Finite Element Modeling.

Yuwei Zhang, Hailin Zhang, Jingqi Hu, Yiwen Jiang, Fuling Zheng, Ang Zeng, Xiao Long, Xiaojun Wang

Abstract read
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In one paragraph

Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Preoperative 3-dimensional Simulation in Aesthetic Surgery.Plastic and reconstructive surgery. Global open · 2026
    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

8 authors.

Yuwei Zhang *Department of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shuaifuyuan 1#, Dongcheng District, Beijing, 100730, PR China.
Hailin Zhang *Department of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shuaifuyuan 1#, Dongcheng District, Beijing, 100730, PR China.
Jingqi HuDepartment of Mechanical Engineering, Tsinghua University, Beijing, China.
Yiwen JiangPeking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Fuling ZhengDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ang ZengDepartment of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shuaifuyuan 1#, Dongcheng District, Beijing, 100730, PR China. pumchza@qq.com.ORCID http://orcid.org/0000-0003-4680-7099
Xiao LongDepartment of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shuaifuyuan 1#, Dongcheng District, Beijing, 100730, PR China. pumclongxiao@126.com.
Xiaojun WangDepartment of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shuaifuyuan 1#, Dongcheng District, Beijing, 100730, PR China. pumchwxj@163.com.

Funding

CAMS Innovation Fund for Medical Sciences 2021-I2M-1-068National High Level Hospital Clinical Research Funding 2022-PUMCH-B-040
6 · The paper itself

Abstract

purposeTo develop and validate a subject-specific finite element (FE) modeling framework that estimates breast hyperelastic parameters from in vivo, gravity-driven deformation, and to investigate whether post-augmentation breasts with silicone implants exhibit altered mechanical characteristics compared with natural breasts.

methodsLeft breasts of twelve participants (six normal, six post-augmentation) were modeled from prone MRI, and upright morphology was simulated using a two-step gravity procedure in Abaqus using a first-order isotropic Ogden hyperelastic law, chosen as a simple, widely used model for large soft-tissue deformations. For each breast, the Ogden exponent (α) and shear modulus (μ) were identified as apparent organ-level stiffness parameters by minimizing the Hausdorff distance between the simulated shape and the standing 3D surface scan.

resultsNatural breasts achieved HDF 0.94-3.09 mm (mean 2.14 mm). Post-augmentation breasts achieved HDF 1.38-2.54 mm (mean 1.90 mm). Across participants, α showed marked inter-individual variability. Post-augmentation cases required higher effective shear modulus than natural breasts.

conclusionA subject-specific FE workflow driven by in vivo deformation accurately reproduces standing breast morphology and reveals increased apparent stiffness after implant augmentation. This framework enables individualized parameterization for surgical planning, implant selection, and prediction of post-operative outcomes in breast biomechanics.

Indexed as

BreastBreast ImplantsModels, BiologicalSiliconesAdultFemaleFinite Element AnalysisHumansMiddle AgedSilicones3D surface scanningAugmentation mammoplastyBreast biomechanicsFinite element analysisOgden modelSubject-specific modeling

Identifiers

PMID41580516

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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.