Evidence map›Paper›PMID 42662197›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Three-dimensional finite element analysis of translaminar lag screw designs for L5 bilateral spondylolysis.

Feng Li, Xingguo Tan, Tao Zhang, Hua Liu, Songkai Li

Abstract read
In one paragraph

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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1 · What the graph read from it

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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

5 authors.

Feng Li *Department of Spine Surgery, The 940th Hospital of Joint Logistic Support Force of Chinese People's Liberation Army, Lanzhou, Gansu, China.
Xingguo Tan *Department of Spine Surgery, The 940th Hospital of Joint Logistic Support Force of Chinese People's Liberation Army, Lanzhou, Gansu, China.
Tao ZhangDepartment of Spine Surgery, The 940th Hospital of Joint Logistic Support Force of Chinese People's Liberation Army, Lanzhou, Gansu, China.
Hua LiuDepartment of Spine Surgery, The 940th Hospital of Joint Logistic Support Force of Chinese People's Liberation Army, Lanzhou, Gansu, China.
Songkai LiDepartment of Spine Surgery, The 940th Hospital of Joint Logistic Support Force of Chinese People's Liberation Army, Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This finite element study aimed to quantitatively compare the biomechanical properties of translaminar lag screws with different diameters and structural designs for the surgical repair of L5 bilateral spondylolysis, to provide evidence for individualized screw selection. Methods: An intact model of L4-S1 segment (Model A) and a L5 bilateral spondylolysis model (Model B) were established using Mimics, Geomagic, and SolidWorks. Additional models were constructed incorporating translaminar lag screws of varying diameters: 4.5 mm (solid, Model C1; cannulated, Model C2), 4.0 mm (solid, Model D1; cannulated, Model D2), and 3.5 mm (solid, Model E1; cannulated, Model E2). Following model validation, a 400 N axial load and a 10 N m moment were applied to simulate five conditions. Analyzed parameters included range of motion (ROM), maximum displacement, and maximum von Mises stress in the disc, pars interarticularis, and fixation screws. Results: Compared to the intact model (A), the spondylolysis model (B) showed significant instability. All fixation models (C1-E2) effectively restored ROM to intact levels, regardless of screw diameter or structural design. Larger-diameter (4.5 mm) and solid designs demonstrated slightly better control of model displacement. Increasing diameter significantly reduced stress concentrations within the pars interarticularis and fixation screws. For a given diameter, cannulated screws sustained higher stress than solid screws. The 3.5 mm cannulated screw exhibited the highest screw stress, approaching the yield strength of titanium alloy under rotational loading. Conclusion: All translaminar lag screw designs can effectively restore stability in L5 spondylolysis. While different diameters and structural designs have a minor impact on stability restoration, they significantly affect implant stress. In this specific patient-derived model, the 4.5 mm solid screw demonstrated the most favorable biomechanical profile, with the lowest stress on the implant and effective control of graft displacement. These findings suggest a potential mechanical advantage for 4.5 mm solid screws; however, confirmation through multi-specimen studies or clinical trials is required before broader clinical recommendations can be made.

Indexed as

biomechanicsfinite element analysisinternal fixationlumbar spondylolysissurgical therapy

Identifiers

PMID42662197
PMCPMC13519390

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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.