Title
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Quantifying symmetry in mandibular condyle motion: a real-time MRI approach
1IADI U1254, Inserm, University of Lorraine, 54000 Nancy, France
2Oral Medicine Department, University Hospital of Reims, 51100 Reims, France
3CIC 1433, Technical Innovation, Inserm, University of Lorraine, University Hospital of Nancy, 54000 Nancy, France
4Guilloz Imaging Department, University Hospital of Nancy, 54000 Nancy, France
5ENT Department, University Hospital of Reims, 51100 Reims, France
DOI: 10.22514/jofph.2025.079 Vol.39,Issue 4,December 2025 pp.227-234
Submitted: 03 May 2025 Accepted: 02 July 2025
Published: 12 December 2025
*Corresponding Author(s): Justine Leclère E-mail: jleclere@chu-reims.fr
Background: The temporomandibular joints (TMJs) are essential for daily function and must operate in synergy to ensure optimal jaw movement. Real-time magnetic resonance imaging (RT-MRI) enables direct visualization of mandibular condyle motion; however, its application for symmetry assessment remains insufficiently studied. This exploratory study focuses on the consistency of condylar motion symmetry assessments, including visual evaluation of raw image series and 3D trajectories calculated from RT-MRI, as well as automatically extracted quantitative parameters. Given that well-correlated parameters are more likely to be reliable, this work aims to identify optimal methods for assessing symmetry of the condylar pathway using RT-MRI. Methods: The study includes 18 volunteers. A 2D real-time fast low angle shot (FLASH) sequence was used to acquire two sagittal and one axial planes. For quantitative analysis, mandibular condyles were segmented using a neural network. The extracted symmetry parameters were maximum displacement difference and maximum difference of amplitudes for spatial assessments, and latency and velocity peak delay for temporal evaluations. 3D trajectories were automatically generated using a previously validated method. Qualitative scoring of raw image series was conducted by two experts, and the 3D trajectories were evaluated by a dental surgeon. The agreement between qualitative scores was assessed using Cohen’s kappa test, while correlations among quantitative parameters were analyzed using Spearman’s test. Results: Results showed higher agreement in the axial plane (intra-observer κ = 0.68; inter-observer κ = 0.44) than in the sagittal plane (κ = 0.51 and 0.20, respectively). Inter-planar correlations were weak to moderate (ρ = 0.21–0.48), with latency showing the strongest correlation. Conclusions: For our dataset, latency emerged as the most robust temporal parameter. Additionally, motion analysis in the axial plane demonstrated greater consistency in both quantitative measurements and visual scoring. These findings suggest that the axial plane may be preferable for assessing motion symmetry in RT-MRI. Clinical Trial Registration: “METHODO” ClinicalTrials.gov Identifier: NCT02887053, approval: CPP EST-III, 08.10.01; “EDEN” ClinicalTrials.gov Identifier: NCT05218460, approval: CPP SUD-EST IV, 26.07.21.
Temporomandibular joint; Condylar kinematics; Mandibular condyle; Medical imaging; Detection algorithm
Justine Leclère,Karyna Isaieva,Guillaume Drouot,Romain Gillet,Jacques Felblinger,Pierre-André Vuissoz,Xavier Dubernard. Quantifying symmetry in mandibular condyle motion: a real-time MRI approach. Journal of Oral & Facial Pain and Headache. 2025. 39(4);227-234.
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