Changes in condylar volume and joint spaces after orthognathic surgery

Silva, R.J. da; Souza, Carolina Vieira Valadares e; Souza, Gustavo Almeida; Ambrosano, Gláucia María Bovi; Freitas, Deborah Queiroz; Sant’Ana, Eduardo; Oliveira‐Santos, Christiano

doi:10.1016/j.ijom.2017.10.012

Cited by 53 publications

(48 citation statements)

References 26 publications

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“…20,39,41 the position of soft and hard tissues in the TMJ are always accompanied by a mechanical impact. 42 Once the adaptive capacity is exceeded, a negative influence on balance and the mechanical environment of the TMJ occurs, 43 possibly resulting in the occurrence of TMD. 44 Thus, the biomechanical analysis of the TMJ was critical to understanding its functions.…”

Section: Discussionmentioning

confidence: 99%

Biomechanical behaviour of temporomandibular joints during opening and closing of the mouth: A 3D finite element analysis

Shu

Liu³

et al. 2020

Numer Methods Biomed Eng

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Temporomandibular joints (TMJs) constitute a pair of joints that connect the jawbone to the skull. TMJs are bilateral joints which work as one unit in conducting daily functions such as speaking, mastication, and other activities associated with the movement of the jaw. Issues associated with the TMJs may arise due to various factors—one such factor being the internal load on the TMJ. These issues may contribute to temporomandibular disorders (TMD). This study aims to evaluate the mandibular trajectories and the associated stress changes during the process of opening the mouth on the TMJs of an asymptomatic subject. The mouth opening motion was recorded by a motion capturing system using models of the mandible and maxilla constructed based on the computed tomography (CT). Two discs constructed based on magnetic resonance imaging (MRI). Finite element analysis was performed on the relative motion of the mandible to the maxilla and validated. The process modelled by these displacements provided less than 10% error in terms of deformation. The simulation results indicate that the lateral intermediate zone—the head and neck of the mandible—and the articular eminence sustained the most significant stresses during the mouth opening motion. The results also suggested that the stresses increase as the range of opening increases with the greatest von Mises stress, tensile, and compressive stress found at the position of maximal opening.

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Section: Discussionmentioning

confidence: 99%

Biomechanical behaviour of temporomandibular joints during opening and closing of the mouth: A 3D finite element analysis

Shu

Liu³

et al. 2020

Numer Methods Biomed Eng

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“…Concerning the operator-dependent error, semi-automatic segmentation showed excellent intra-operator and inter-operator reliability according to the ICC values and to the small volumetric differences found between the first and the second recordings. In this respect, the semi-automatic segmentation delegated most of this task to the software algorithm [ 1 , 17 ], this reduced the magnitude of the observer related error. For the same reason, semi-automatic segmentation almost voided the difference between the readings performed by two observers with different level of expertise in 3D imaging.…”

Section: Discussionmentioning

confidence: 99%

“…Different methods have been described for segmentation of the mandibular condyles, basically, they can be distinguished in manual and semi-automatic procedures [ 15 , 16 , 17 , 18 , 19 , 20 ]. In the manual segmentation, the operator outlines the condylar contour slice by slice, distinguishing the condyle from adjacent tissues [ 1 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

“…Conversely, the semiautomatic segmentation is a computer-aided approach (hybrid) where the operator preliminary selects the threshold interval (Hounsfield units) that guides the automatic 3D rendering procedure [ 21 ]. Semi-automatic segmentation can be performed by using the binary threshold-based volume [ 18 , 19 ] or the region-growing algorithm [ 15 , 17 ]. In the first method, the operator uses specific tools to remove structures outside the volume of interest, while in the second method the user places specific seed-points through different slices that start “growing” or “expand” based on the preliminary threshold set.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Imaging Software Accuracy for 3-Dimensional Analysis of the Mandibular Condyle. A Comparative Study Using a Surface-to-Surface Matching Technique

Giudice

Quinzi

Ronsivalle

et al. 2020

IJERPH

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The aim of this study was to assess the accuracy of 3D rendering of the mandibular condylar region obtained from different semi-automatic segmentation methodology. A total of 10 Cone beam computed tomography (CBCT) were selected to perform semi-automatic segmentation of the condyles by using three free-source software (Invesalius, version 3.0.0, Centro de Tecnologia da Informação Renato Archer, Campinas, SP, Brazil; ITK-Snap, version2.2.0; Slicer 3D, version 4.10.2) and one commercially available software Dolphin 3D (Dolphin Imaging, version 11.0, Chatsworth, CA, USA). The same models were also manually segmented (Mimics, version 17.01, Materialise, Leuven, Belgium) and set as ground truth. The accuracy of semi-automatic segmentation was evaluated by (1) comparing the volume of each semi-automatic 3D rendered condylar model with that obtained with manual segmentation, (2) deviation analysis of each 3D rendered mandibular models with those obtained from manual segmentation. No significant differences were found in the volumetric dimensions of the condylar models among the tested software (p > 0.05). However, the color-coded map showed underestimation of the condylar models obtained with ITK-Snap and Slicer 3D, and overestimation with Dolphin 3D and Invesalius. Excellent reliability was found for both intra-observer and inter-observer readings. Despite the excellent reliability, the present findings suggest that data of condylar morphology obtained with semi-automatic segmentation should be taken with caution when an accurate definition of condylar boundaries is required.

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“…After the removal of duplicates, 1843 studies were screened by title and abstract, of which 82 were deemed relevant and were assessed for eligibility. Eventually, 10 studies were included in the qualitative synthesis (Table 2) [16][17][18][19][20][21][22][23][24][25] . Every included study investigated condylar remodelling using 3D models, although the main study objective differed among the studies.…”

Section: Selection Of Studiesmentioning

confidence: 99%

Patient motion image artifacts can be minimized and re-exposure avoided by selective removal of a sequence of basis images from cone beam computed tomography data sets: a case series

Yeung

Azevedo

Scarfe

et al. 2020

Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology

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Orthognathic surgery involving the mandible can lead to remodelling of the temporomandibular joint (TMJ). Cone beam computed tomography (CBCT) provides an easily accessible three-dimensional (3D) approach to study this entity. A systematic review of the literature was performed with the aim of identifying condylar remodelling analysis protocols using CBCT-derived 3D models. The search yielded 10 eligible studies. The systematic review identified three pillars of a condylar remodelling analysis protocol that were retrievable from each of the included studies: (1) registration, (2) segmentation, and (3) analysis. The studies lacked consensus on how these pillars should be transferred to their respective protocol. Through critical assessment, criteria for a universal condylar remodelling analysis are suggested: (1) performance of a regional voxel-based registration of baseline and postoperative CBCT scans using an anatomical region not prone to postoperative changes, (2) application of a (semi-)automated 3D segmentation algorithm, (3) performance of a combination of both volumetric and surface-based 3D condylar analysis, and (4) extensive validation of each step of the protocol. The homogenization of condylar remodelling analysis protocols and their incorporation into virtual planning software suites raises the potential for the inclusion of larger numbers of patients in future prospective studies in order to gain evidence-based data.

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Changes in condylar volume and joint spaces after orthognathic surgery

Cited by 53 publications

References 26 publications

Biomechanical behaviour of temporomandibular joints during opening and closing of the mouth: A 3D finite element analysis

Biomechanical behaviour of temporomandibular joints during opening and closing of the mouth: A 3D finite element analysis

Evaluation of Imaging Software Accuracy for 3-Dimensional Analysis of the Mandibular Condyle. A Comparative Study Using a Surface-to-Surface Matching Technique

Patient motion image artifacts can be minimized and re-exposure avoided by selective removal of a sequence of basis images from cone beam computed tomography data sets: a case series

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