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ORIGINAL RESEARCH article

Front. Bioeng. Biotechnol.

Sec. Biomechanics

Volume 13 - 2025 | doi: 10.3389/fbioe.2025.1675317

Biomechanical Investigations on Compression, Expansion, and Flexion of Tubal Occluders: A Finite Element Analysis

Provisionally accepted
Quan  SongQuan Song1,2Zhuo  ZhangZhuo Zhang1,2Xiaobao  TianXiaobao Tian1,2Yu  ChenYu Chen1,2Fei  GaoFei Gao3Zhongyou  LiZhongyou Li1,2,4,5lingjun  liulingjun liu6,7*Xiaoyan  WangXiaoyan Wang8*
  • 1Sichuan University School of Architecture and Environment, Chengdu, China
  • 2Sichuan Province Biomechanical Engineering Laboratory, Sichuan University, Chengdu, China
  • 3Chengdu Neurotrans Medical Technology Co. LTD, Chengdu, China
  • 4Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University,, Hong Kong, Hong Kong, SAR China
  • 5Research Institute for Sports and Technology, The Hong Kong Polytechnic University,, Hong Kong, Hong Kong, SAR China
  • 6Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Chengdu, China
  • 7Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, China
  • 8Affiliated Hospital of Jiangnan University, Wuxi, China

The final, formatted version of the article will be published soon.

Background: Hydrosalpinx significantly reduces the success rate of embryo implantation no dedicated occlusion currently exists for its treatment. This study introduces a novel shape-memory-based Fallopian tube occluder and systematically evaluates its mechanical performance across designs with varying wire densities. Methods: The proposed occluder features a mesh-based support structure with a symmetrical double-coil configuration, designed to enhance friction and reduce the risk of migration. Three geometric models were developed based on wire density (n): sparse (n = 84), standard (n = 113), and dense (n = 226). Finite element simulations were conducted to assess the mechanical response of each design during crimping, deployment, and bending. Results: In the sparse model, low filament density resulted in incomplete contact with the crimping tool, producing localized stress concentrations at the support and central regions with a maximum strain of 1.88%. The standard model demonstrated improved stress redistribution toward the connection zones and achieved a peak strain of 2.73%, providing reliable radial support while maintaining moderate compliance. The dense model, although free of dominant high-stress regions, exhibited severe localized stress (up to 1569.04 MPa) and a maximum strain of 12.73%, exceeding the superelastic recovery limit of the NiTi alloy. All three designs showed minimal axial shortening and radial recoil (<3%) after deployment, indicating limited post-deployment deformation. Load–displacement analysis revealed that increasing filament density led to higher bending stiffness and reduced flexibility. Conclusion: The sparse occluder offers high flexibility but lacks adequate structural support. In contrast, the dense design suffers from excessive deformation under compression, potentially compromising structural stability. The standard configuration provides an optimal balance between flexibility and support, making it the most promising candidate for clinical application.

Keywords: Hydrosalpinx, Occluder, Biomechanics, finite element analysis (FEA), medical devices, optimized design

Received: 29 Jul 2025; Accepted: 13 Oct 2025.

Copyright: © 2025 Song, Zhang, Tian, Chen, Gao, Li, liu and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
lingjun liu, lingjun-20046@163.com
Xiaoyan Wang, 9862019082@jiangnan.edu.cn

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