Evidence map›Paper›PMID 42328609›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Biomechanical finite element methods study of a novel internal fixation system for lumbar spondylolysis.

Jingyuan Li, ChengFei Du, Yulei Wang, Di Du, Jinlong Liang, Nengqi Shao, Fanzhe Feng, Wenhao Xu, Yongqing Xu, Yi Cui

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Article in Frontiers in bioengineering and biotechnology, 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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5 · Who and what money

Authors and funding

10 authors.

Jingyuan LiDepartment of Orthopedics and Trauma, The First Affliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
ChengFei DuTianjin University of Technology, Tianjin, China.
Yulei WangSecond People's Hospital of Qujing City, Qujing, China.
Di Du920th Hospital of People's Liberation Army Joint Logistic Support Force, Kunming, China.
Jinlong Liang920th Hospital of People's Liberation Army Joint Logistic Support Force, Kunming, China.
Nengqi ShaoDali University, Dali, China.
Fanzhe Feng920th Hospital of People's Liberation Army Joint Logistic Support Force, Kunming, China.
Wenhao XuDali University, Dali, China.
Yongqing Xu920th Hospital of People's Liberation Army Joint Logistic Support Force, Kunming, China.
Yi CuiDepartment of Orthopaedic Surgery, 920th Hospital of Joint Logistics Support Force, Kunming, Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to evaluate the biomechanical efficacy of a novel internal fixation system for the treatment of lumbar spondylolysis (LS). In addition, the changes in the mechanical performance of the proposed fixation construct during progressive compression were systematically investigated. Methods: A healthy 25-year-old male volunteer was recruited for lumbar spine CT data acquisition to construct and validate a nonlinear finite element model of the L4-S1 spinal segment (A); Based on this, models were established for L5 spondylolysis (B); L5 spondylolysis model with traditional internal fixation (C); L5 spondylolysis model with the pressurization process of the novel LS repair device fixation (D→E→F). For these six models, we constrained the lower surface of the S1 vertebral body while applying an axial compression force of 500 N and a moment load of 7.5 N m on the upper surface of the L4 vertebral body to simulate six motions of the lumbar spine. The performance of each finite element model was evaluated by comparing the range of motion (ROM), maximum displacement, and maximum pressure experienced by the lumbar spine under different motion conditions. Results: Compared with Model C, Models D, E, and F exhibited a reduced ROM and maximum displacement under left axial rotation and right axial rotation conditions. Notably, compared with Model C, the novel internal fixation models consistently demonstrated a decreasing trend in the maximum stress on the intervertebral discs (IVD) and an increasing trend in the maximum stress on the articular cartilage and maximum stress and displacement of the bone graft. Moreover, The progressive pressurization (D→E→F) of the novel internal fixation model further enhanced stress transfer between the isthmic defect ends and the bone graft. Conclusion: Compared with the conventional fixation model (Model C), the novel internal fixation models (Models D, E, F) provided superior spinal stability, more effectively restored physiological stress levels in the facet cartilage, and generated greater mechanical stimulation within the bone graft region. These findings suggest that the proposed fixation system may provide a more favorable biomechanical environment for pars defect healing and graft fusion.

Indexed as

biomechanicalfinite element analysisinternal fixation systemlumbar spondylolysissurgical therapy

Identifiers

PMID42328609
PMCPMC13279694

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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.