Prediction of jaw opening function after mandibular reconstruction using subject‐specific musculoskeletal modelling.
Background: Mandibular reconstruction patients often suffer abnormalities in the mandibular kinematics. In silico simulations, such as musculoskeletal modelling, can be used to predict post‐operative mandibular kinematics. It is important to validate the mandibular musculoskeletal model and analyse...
| Publicado en: | Journal of Oral Rehabilitation Vol. 51; no. 6; pp. 1050 - 1061 |
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| Autores principales: | , , , , , , |
| Formato: | diagnostic images pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Jun2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=176868461&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 176868461 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0305182X ERZ jtl: Journal of Oral Rehabilitation issn: 0305182X maglogo: Y pubinfo: dt: Jun2024 vid: 51 iid: 6 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 176868461 176254025 176868461 176868461 10.1111/joor.13670 176868461 ppf: 1050 ppct: 11 formats: tig: atl: Prediction of jaw opening function after mandibular reconstruction using subject‐specific musculoskeletal modelling. aug: au: Chen, Junpeng Wang, Jing Guo, Jianqiao Wang, Xinyue Kang, Yanfeng Wang, Yang Guo, Chuanbin affil: Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing, China sug: subj: Mandible Surgery Surgery, Reconstructive Methods Jaw Physiology Range of Motion Kinematics Models, Biological Prediction Models Human Male Female Adult Middle Age Surgical Patients Tomography, X-Ray Computed Electromyography Preoperative Period Jaw Radiography Correlational Studies Descriptive Statistics Comparative Studies Trismus Risk Factors Masticatory Muscles Radiography Computer Simulation Postoperative Period Quantitative Studies Sensitivity and Specificity Funding Source Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: Background: Mandibular reconstruction patients often suffer abnormalities in the mandibular kinematics. In silico simulations, such as musculoskeletal modelling, can be used to predict post‐operative mandibular kinematics. It is important to validate the mandibular musculoskeletal model and analyse the factors influencing its accuracy. Objectives: To investigate the jaw opening‐closing movements after mandibular reconstruction, as predicted by the subject‐specific musculoskeletal model, and the factors influencing its accuracy. Methods: Ten mandibular reconstruction patients were enrolled in this study. Cone‐beam computed tomography images, mandibular movements, and surface electromyogram signals were recorded preoperatively. A subject‐specific mandibular musculoskeletal model was established to predict surgical outcomes using patient‐averaged muscle parameter changes as model inputs. Jaw bone geometry was replaced by surgical planning results, and the muscle insertion sites were registered based on the non‐rigid iterative closest point method. The predicted jaw kinematic data were validated based on 6‐month post‐operative measurements. Correlations between the prediction accuracy and patient characteristics (age, pathology and surgical scope) were further analysed. Results: The root mean square error (RMSE) for lower incisor displacement was 31.4%, and the error for peak magnitude of jaw opening was 4.9 mm. Age, post‐operative infection and radiotherapy influenced the prediction accuracy. The amount of masseter detachment showed little correlation with jaw opening. Conclusion: The mandibular musculoskeletal model successfully predicted short‐range jaw opening functions after mandibular reconstruction. It provides a novel surgical planning method to predict the risk of developing trismus. pubtype: Academic Journal doctype: diagnostic images pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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