Three-dimensional morphological changes of the temporomandibular joint and functional effects after mandibulotomy

The midline and paramedian mandibulotomy are surgical procedures that divide the mandibular bone into two halves and disconnects the condylar heads of the TMJ from each other. This study aimed to prospectively evaluate the temporomandibular joint (TMJ) functional and morphological changes after mand...

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Veröffentlicht in:Journal of otolaryngology 2017-01, Vol.46 (1), p.8-8
Hauptverfasser: Al-Saleh, Mohammed A Q, Punithakumar, Kumaradevan, Lagravere, Manuel, Boulanger, Pierre, Jaremko, Jacob L, Wolfaardt, John, Major, Paul W, Seikaly, Hadi
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Sprache:eng
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Zusammenfassung:The midline and paramedian mandibulotomy are surgical procedures that divide the mandibular bone into two halves and disconnects the condylar heads of the TMJ from each other. This study aimed to prospectively evaluate the temporomandibular joint (TMJ) functional and morphological changes after mandibulotomy using a reconstructed 3D models of the TMJ. Sixteen adult patients diagnosed with oral and oropharyngeal tumors with planned surgical mandibulotomy (test group, 9 patients) or transoral (control group, seven patients) treatments were included in the study. MRI and CBCT images were obtained immediately preceeding surgery and 6-8 weeks after surgery. Using the MRI-CBCT registered images, TMJ tissues were segmented at the two occasions by the same operator and 3D models were reconstructed for morphological assessment. Changes across time were measured using the volume overlap and Hausdorff distance of the disc and condyle 3D models. Disc-condyle relationship was measured using point-based and color map analysis. To assess the early functional changes, the Jaw function limitation scale (JFLS) and the maximum mouth opening were measured. Two-sample Hotelling T t-test was performed to determine the significance of the morphological and clinical outcomes' differences between the two groups. The two-sample Hotelling T t-test showed significant differences (T (df1,df2) = 0.97 (5,26), p
ISSN:1916-0216
1916-0208
1916-0216
DOI:10.1186/s40463-017-0184-4