Quantification of condylar resorption in temporomandibular joint osteoarthritis

Cevidanes, Lúcia Helena Soares; Hajati, Anna Kari; Paniagua, Beatriz; Lim, Pei Feng; Walker, D.; Palconet, G; Nackley, Andrea G.; Styner, Martin; Ludlow, John B.; Zhu, Hongtu; Phillips, Ceib

doi:10.1016/j.tripleo.2010.01.008

Cited by 152 publications

(146 citation statements)

References 26 publications

(25 reference statements)

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“…In these studies, shape correspondence, a 3-D surface mapping technique, was used to map the condylar morphology and its alteration in osteoarthritis. 51 Indeed, this technique showed marked differences between OA and asymptomatic condyles. Importantly, the extent of these morphological changes paralleled pain severity and duration.…”

Section: Future Directions For Use Of Cbct Imagingmentioning

confidence: 98%

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Application of cone beam computed tomography for assessment of the temporomandibular joints

Barghan

Tetradis

Mallya

2012

Australian Dental Journal

186

135

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Radiographic examination is essential for the diagnosis and management of temporomandibular joint (TMJ) disorders. The goals of TMJ radiography are to evaluate cortical and trabecular architecture of the bony structures and confirm their integrity, to assess the extent and monitor progression of osseous changes, and to evaluate the response to treatment. Accurate evaluation of the TMJ by conventional radiography is limited by structure superimposition. Cone beam computed tomography (CBCT) provides high-resolution multiplanar images and delivers substantially lower radiation dose, compared with multislice CT. CBCT allows examination of TMJ anatomy without superimposition and distortion to facilitate analysis of bone morphology, joint space and dynamic function in all three dimensions. This article will describe the role of CBCT imaging for the assessment of the TMJ osseous structures and present typical appearances of common pathological conditions of the TMJ.Keywords: Cone beam, temporomandibular joints.Abbreviations and acronyms: CBCT = cone beam computed tomography; CH = coronoid hyperplasia; CT = computed tomography; FOV = field of view; MRI = magnetic resonance imaging; OA = osteoarthritis; RA = rheumatoid arthritis; SC = synovial chondromatosis; TMD = temporomandibular disorders; TMJ = temporomandibular joints.

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Section: Future Directions For Use Of Cbct Imagingmentioning

confidence: 98%

“…Importantly, the extent of these morphological changes paralleled pain severity and duration. 51 Such technologies hold promise to evaluate temporal changes in the joints and to identify morphological variations that may have implications for clinical management or prognosis.…”

Section: Future Directions For Use Of Cbct Imagingmentioning

confidence: 99%

Application of cone beam computed tomography for assessment of the temporomandibular joints

Barghan

Tetradis

Mallya

2012

Australian Dental Journal

186

135

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“…Quantification of 3D surface models of mandibular condyles in patients with TMJ OA and in asymptomatic Dentomaxillofac Radiol, 44,20140235 birpublications.org/dmfr TMJ diagnostics using CBCT subjects revealed significant differences. 54 It was even suggested that the extent of resorptive changes paralleled pain severity and duration. In another study of the same group, it was found that 3D shape analysis measurements of data simulated 3-and 6-mm defects on the surface of 3D models of condyles had an acceptable accuracy.…”

mentioning

confidence: 99%

Temporomandibular joint diagnostics using CBCT

Ak²,

Kristensen³

et al. 2015

Dentomaxillofacial Radiology

222

128

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The present review will give an update on temporomandibular joint (TMJ) imaging using CBCT. It will focus on diagnostic accuracy and the value of CBCT compared with other imaging modalities for the evaluation of TMJs in different categories of patients; osteoarthritis (OA), juvenile OA, rheumatoid arthritis and related joint diseases, juvenile idiopathic arthritis and other intra-articular conditions. Finally, sections on other aspects of CBCT research related to the TMJ, clinical decision-making and concluding remarks are added. CBCT has emerged as a cost-and dose-effective imaging modality for the diagnostic assessment of a variety of TMJ conditions. The imaging modality has been found to be superior to conventional radiographical examinations as well as MRI in assessment of the TMJ. However, it should be emphasized that the diagnostic information obtained is limited to the morphology of the osseous joint components, cortical bone integrity and subcortical bone destruction/production. For evaluation of soft-tissue abnormalities, MRI is mandatory. There is an obvious need for research on the impact of CBCT examinations on patient outcome.

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“…Various segmentation methods have previously been validated, and although interobserver errors in segmentation present only small differences, these errors would be added to registration errors. 32,45,47,56 The artefacts generated from restorative dentistry, movement of the patient, partial volume averaging, incorrect selection of kVp/mA and threshold settings can affect the volume image and segmentation. 48,[57][58][59][60] In the absence of artefacts, Luu et al 45 clearly described that when defining the true boundary of an object, at best, the line for this boundary will cross directly through the centre of a voxel.…”

Section: Discussionmentioning

confidence: 99%

“…Computation of corresponding points between all condyles: SPHARM-PDM software v. 1.12 (open-source, http://www.nitrc.org/projects/spharm-pdm) 32,33,36,37 was then used to compute the correspondence across 4002 surface points among all right and mirrored left condyles. These 4002 surface points and the location of their respective XYZ coordinates were optimized for each corresponding condyle mesh.…”

Section: -33mentioning

confidence: 99%

Regional 3D superimposition to assess temporomandibular joint condylar morphology

Schilling¹,

Gomes²,

Benavides³

et al. 2014

Dentomaxillofacial Radiology

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Objectives: To investigate the reliability of regional three-dimensional registration and superimposition methods for assessment of temporomandibular joint condylar morphology across subjects and longitudinally. Methods: The sample consisted of cone beam CT scans of 36 patients. The across-subject comparisons included 12 controls, mean age 41.3 ± 12.0 years, and 12 patients with temporomandibular joint osteoarthritis, mean age 41.3 ± 14.7 years. The individual longitudinal assessments included 12 patients with temporomandibular joint osteoarthritis, mean age 37.8 ± 16.7 years, followed up at pre-operative jaw surgery, immediately after and one-year post-operative. Surface models of all condyles were constructed from the cone beam CT scans. Two previously calibrated observers independently performed all registration methods. A landmark-based approach was used for the registration of across-subject condylar models, and temporomandibular joint osteoarthritis vs control group differences were computed with shape analysis. A voxel-based approach was used for registration of longitudinal scans calculated x, y, z degrees of freedom for translation and rotation. Two-way random intraclass correlation coefficients tested the interobserver reliability. Results: Statistically significant differences between the control group and the osteoarthritis group were consistently located on the lateral and medial poles for both observers. The interobserver differences were #0.2 mm. For individual longitudinal comparisons, the mean interobserver differences were #0.6 mm in translation errors and 1.2°in rotation errors, with excellent reliability (intraclass correlation coefficient .0.75). Conclusions: Condylar registration for across-subjects and longitudinal assessments is reliable and can be used to quantify subtle bony differences in the three-dimensional condylar morphology.

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Quantification of condylar resorption in temporomandibular joint osteoarthritis

Cited by 152 publications

References 26 publications

Application of cone beam computed tomography for assessment of the temporomandibular joints

Application of cone beam computed tomography for assessment of the temporomandibular joints

Temporomandibular joint diagnostics using CBCT

Regional 3D superimposition to assess temporomandibular joint condylar morphology

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