The goals of the proposed research are 1) to investigate a novel framework to improve assessments of temporomandibular joint osteoarthritis;2) to develop computational algorithms that extend the capabilities of 3D Slicer open-source software, in collaboration with the National Alliance for Medical Imaging Computing (NA-MIC), one of the NIH National Centers for Biomedical Computing;and 3) oversee the training and dissemination of these tools to the dental research community. The statistical modeling framework we previously developed and validated has allowed us to precisely localize and accurately quantify the extent of degenerative changes in the mandibular condyles. The novel quantification methodology included in this proposal will provide specific analytical tools for the detection, pathology characterization and treatment monitoring of diseases of arthritic origin. Building from this, the proposed mapping of the architecture of the osteoarthritic condyles using imaging criteria (such as condylar flattening, erosions and bone overgrowth) is an excellent model to facilitate detection of osteoarthritic changes, to monitor treatment outcomes, and to provide the foundation for the development of joint deterioration prevention strategies. This proposed research benefits from the combined efforts of a team of clinicians, and computer scientists and engineers who are active members of the NA-MIC algorithm and engineering cores. This research team brings special resources to enable the broader objective of developing an infrastructure for image analysis to be used in leading-edge dental clinical research and practice.

Public Health Relevance

The inability to quantify bone damage is a severe bottleneck in the discovery of imaging diagnostic markers and therapeutic targets for Osteoarthritis. This proposal will alleviate such information bottleneck by precisely quantifying three-dimensional bony changes in the Temporomandibular joint (TMJ). The proposed mapping of arthritic TMJs and detection of changes that occur with progression of the disease will allow improved early diagnosis and better monitoring of treatment outcomes by generating and disseminating a publicly available set of tools based in 3DSlicer.

Agency
National Institute of Health (NIH)
Type
Research Project (R01)
Project #
5R01DE024450-02
Application #
8732622
Study Section
Biodata Management and Analysis Study Section (BDMA)
Program Officer
Wan, Jason
Project Start
Project End
Budget Start
Budget End
Support Year
2
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Dentistry
Type
Schools of Dentistry/Oral Hygn
DUNS #
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Ruellas, Antonio Carlos de Oliveira; Yatabe, Marilia Sayako; Souki, Bernardo Quiroga et al. (2016) 3D Mandibular Superimposition: Comparison of Regions of Reference for Voxel-Based Registration. PLoS One 11:e0157625
Gomes, Liliane Rosas; Gomes, Marcelo Regis; Gonçalves, João Roberto et al. (2016) Cone beam computed tomography-based models versus multislice spiral computed tomography-based models for assessing condylar morphology. Oral Surg Oral Med Oral Pathol Oral Radiol 121:96-105
Koerich, L; Ruellas, A C O; Paniagua, B et al. (2016) Three-dimensional regional displacement after surgical-orthodontic correction of Class III malocclusion. Orthod Craniofac Res 19:65-73
Ruellas, Antonio Carlos de Oliveira; Tonello, Cristiano; Gomes, Liliane Rosas et al. (2016) Common 3-dimensional coordinate system for assessment of directional changes. Am J Orthod Dentofacial Orthop 149:645-56
Lineberger, Megan B; Franchi, Lorenzo; Cevidanes, Lucia H S et al. (2016) Three-dimensional digital cast analysis of the effects produced by a passive self-ligating system. Eur J Orthod :
Ruellas, Antonio Carlos de Oliveira; Huanca Ghislanzoni, Luis T; Gomes, Marcelo Regis et al. (2016) Comparison and reproducibility of 2 regions of reference for maxillary regional registration with cone-beam computed tomography. Am J Orthod Dentofacial Orthop 149:533-42
Solem, R Christian; Ruellas, Antonio; Miller, Arthur et al. (2016) Congenital and acquired mandibular asymmetry: Mapping growth and remodeling in 3 dimensions. Am J Orthod Dentofacial Orthop 150:238-51
Cevidanes, L H S; Gomes, L R; Jung, B T et al. (2015) 3D superimposition and understanding temporomandibular joint arthritis. Orthod Craniofac Res 18 Suppl 1:18-28
Gomes, Liliane R; Gomes, Marcelo; Jung, Bryan et al. (2015) Diagnostic index of three-dimensional osteoarthritic changes in temporomandibular joint condylar morphology. J Med Imaging (Bellingham) 2:034501
Weissheimer, A; Menezes, L M; Koerich, L et al. (2015) Fast three-dimensional superimposition of cone beam computed tomography for orthopaedics and orthognathic surgery evaluation. Int J Oral Maxillofac Surg 44:1188-96

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