Bilateral Posterior Dislocation of Mandibular Condyle: A Rare Entity in Maxillofacial Injuries

Gupta, Saloni; Bansal, Vishal; Dubey, Prajesh; Bhatnagar, S.

doi:10.1007/s12663-020-01385-0

Cited by 1 publication

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…43 Besides, the anteromedial pull of the lateral pterygoid muscle and laxity of the surrounding tissues, particularly for temporalis, can increase condylar instability. 44 The imbalance between temporalis and lateral pterygoid also contributed to the unsatisfactory prediction for these five patients. 37 In addition to osteotomy surgery, other individual treatment also has a significant impact on the prediction outcomes.…”

Section: Discussionmentioning

confidence: 95%

“…Generally, severe muscle atrophy occurs at the attachment points after surgery 43 . Besides, the anteromedial pull of the lateral pterygoid muscle and laxity of the surrounding tissues, particularly for temporalis, can increase condylar instability 44 . The imbalance between temporalis and lateral pterygoid also contributed to the unsatisfactory prediction for these five patients 37 …”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Prediction of jaw opening function after mandibular reconstruction using subject‐specific musculoskeletal modelling

Chen,

Wang,

Guo

et al. 2024

J of Oral Rehabilitation

View full text Add to dashboard Cite

BackgroundMandibular 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.ObjectivesTo investigate the jaw opening‐closing movements after mandibular reconstruction, as predicted by the subject‐specific musculoskeletal model, and the factors influencing its accuracy.MethodsTen 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.ResultsThe 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.ConclusionThe 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.

show abstract

Section: Discussionmentioning

confidence: 95%