Evidence map›Paper›PMID 40042749›Full record

ArticleMaxillofacial plastic and reconstructive surgery2025

The three-dimensional finite element model of unilateral complete cleft lip and palate and mechanical analysis of the oral surfaces.

Qingqian Wei, Hao Liang, Jingyi Wang, Fei Chen, Yinyue Chen, Yiwei Liu, Haidong Li

Abstract read
In one paragraph

Article in Maxillofacial plastic and reconstructive surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers 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

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Qingqian WeiPlastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing; Morin Dawa Daur Autonomous Banner People's Hospital, Hulunbeir City, Inner Mongolia Autonomous Region, China.
Hao LiangBeijing University of Technology, No. 5 Jinyuanzhuang Road, Shijingshan District, Beijing, China.
Jingyi WangPlastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing; Morin Dawa Daur Autonomous Banner People's Hospital, Hulunbeir City, Inner Mongolia Autonomous Region, China.
Fei ChenThe First Clinical College, Guangzhou Medical University, Guangzhou, China.
Yinyue ChenThe Third Clinical College, Guangzhou Medical University, Guangzhou, China.
Yiwei LiuThe First Clinical College, Guangzhou Medical University, Guangzhou, China.
Haidong LiMorin Dawa Daur Autonomous Banner People's Hospital,Hulunbeir City, Inner Mongolia Autonomous Region; Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. zhengxing999@yeah.net.ORCID http://orcid.org/0000-0001-7498-3888

Funding

Chinese Academy of Medical Sciences Initiative for Innovative Medicine 2021-I2M-1--001Science and Technology Program of the Joint Fund of Scientific Research for the Public Hospitals of Inner Mongolia Academy of Medical Sciences 2023GLLH0334
6 · The paper itself

Abstract

backgroundCleft palate is a prevalent oral and maxillofacial malformation that requires complex surgical interventions. In cleft palate repair, managing flap tension is critical to avoid complications such as flap rupture and impaired healing. Additionally, excessive flap movement can compromise blood supply, affecting postoperative outcomes. A thorough understanding of these biomechanical factors is crucial for surgical success.

methodsA three-dimensional finite element model was developed using CT scan data to simulate the biomechanical behavior of the cleft palate under surgical conditions. The model was constructed and analyzed using ANSYS Workbench and related software, incorporating material properties of bone, mucosa, and muscle. Stress and deformation distributions were calculated to evaluate surgical incision points and flap movement.

resultsThe model identified critical areas of high tension and movement along the surgical incisions on both oral and nasal surfaces. The maximum deformation observed was 3.9885 mm, with stress concentration points along the suture lines and flap edges. The results highlighted specific regions prone to mechanical stress, which are crucial for optimizing surgical strategies.

conclusionThis study demonstrates the potential of a 3D finite element model in predicting mechanical responses of the cleft palate during surgical repair. The findings provide surgeons with valuable insights for improving incision placement, flap design, and suturing techniques to minimize tension and enhance healing. This personalized approach could significantly improve surgical outcomes and reduce postoperative complications in cleft palate repair.

Indexed as

CT imageOral and nasal surface mechanicsThree-dimensional finite element model analysisUnilateral complete cleft palate

Identifiers

PMID40042749
PMCPMC11883061

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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.