Mandibular Movement in 4D: Accuracy of a Digital Mandibular Movement Recording Device
Abstract
Purpose: The objective of this study is to assess the accuracy and repeatability of a new digital mandibular recording device called the MODJAW. Materials and Methods: The Denar Mark II articulator was mounted in a custom-made apparatus and used to simulate the mandibular motion of a patient. The MODJAW trackers were placed on the articulator and the articulator was guided into protrusion, left laterotrusion, and right laterotrusion movements. The readings from the MODJAW for left protrusive condylar path angle, right protrusive condylar path angle, left progressive mandibular lateral translation, and right progressive mandibular lateral translation were reported for each recording. Equivalence tests using paired t-tests were performed to determine if the predetermined articulator settings for protrusive condylar path angle and progressive mandibular lateral translation were equivalent to those reported by the MODJAW. Results: The 90 percent confidence interval of the mean difference for the left protrusive condylar path angle was (3.34, 3.98) and for the right protrusive condylar path angle was (2.59, 3,53). Both the left and right protrusive condylar path angles were within the equivalence limits (-5, +5) and the results were considered equivalent. The 90 percent confidence interval of the mean difference for the left progressive mandibular lateral translation angle was (-2.00, -1.18) and for the right progressive mandibular lateral translation angle was (-3.17, -2.20). Both the left and the right progressive mandibular lateral translation angles were within the equivalence limits (-5, +5) and the results were considered equivalent. Conclusion: The digital jaw motion recording software, MODJAW, can provide clinically accurate readings for protrusive condylar path angle and progressive mandibular lateral translation angle to within + or - 5 degrees.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 16, 2022
- Accession Number
- AD1186183
Entities
People
- Caitlin R. Campbell
Organizations
- Uniformed Services University of the Health Sciences