PRE-CONGRESS COURSE (FULL DAY) | SEPTEMBER 20TH, 2022
Start: 8:30AM | End: 5PM
Jean-Marc Retrouvey, D.M.D, M.Sc. FRCD (C), is the Leo Rogers Endowed Chair and Professor of the Orthodontic Department at the University of Missouri Kansas City. He is international Professor at the University of Manav Rashna in India and Honorary Professor at Ho Chi Minh University in Vietnam.
A graduate from the University de Montreal (1978) and Boston University (1993) , He is a RCDC (Royal College of Dentists of Canada) examiner, an ex NDEB advisor and member of the AAO, the American College of Dentists, The Angle East Society of Orthodontist, a Fellow in the Académie Dentaire du Quebec and the past president of the Canadian Association of Orthodontists. He is also ABO board certified.
As a teacher, he has received the McGill Dental Society, the Wood, Katz and Silverstone awards for excellence in teaching. Dr. Retrouvey also received the Bravo award for his implication at McGill in teaching and research at McGill University. He also received the Barney Swain Award from the Angle Society in 2021. Dr. Retrouvey is also involved with HVO (Health Volunteer Overseas) in the development of blended teaching program for emerging countries and is president of the International Foundation for Dental Education, a nonprofit organization offering orthodontic course in
He is the principal investigator for the National Institute of Health supported research project dental aspect of the Longitudinal Study of Osteogenesis Imperfecta and is the Principal Investigator for the “Dental Malocclusion and Craniofacial Development in OI”. These research projects are conducted by the Brittle Bone Disease Consortium from the RDCRN network of the NIH and have been renewed for a second phase.
Dr Retrouvey is one of the pioneers of 3D printing in orthodontics and is interested in the role of Artificial Intelligence and Deep Learning in the field of orthodontics. He is the Co-Pi in an NIH-SBIR investigation on the deep learning derived calculation of the path of eruption of impacted canines.
He has written and edited the book 3D diagnosis for the orthodontic clinician, published in refereed journals and written 5 book chapters.
COURSE TOPICS (6 CMES)
Topic 1: 3D Digital Diagnosis and Treatment Planning in Orthodontics: A paradigm shift in Orthodontics?
Cone Beam CT appeared in the late 1980s and gain prominence in orthodontics in the early stages of the 21st century. Orthodontists adopted the technology as an adjunct to their conventional diagnostic procedures especially for impacted teeth and orthognathic surgery cases.
Tabletop and then intraoral scanning were mainly developed to eliminate plaster models. It then became very useful to design orthodontic appliances with the advent of the Invisalign technology.
With the advent of artificial intelligence and more sophisticated computer program, it became easier to segment DICOM data from cone beam and then to fuse these data to the STL obtained from intra oral scans. Cone beam and intraoral scans were then integrated with the possibility to study multiple objects such as teeth, dentoalveolar housing and basal bone structures.
A 3D multilayer diagnostic profile of a patient can then be created to correctly diagnose the malocclusion in real 3D, and integrate the dental, dentoalveolar and skeletal components in a single digital file. The next step is to use this file realistic simulation software to test several treatment hypotheses and design the most appropriate biomechanical approach.
This presentation will focus on the latest developments and in the necessary collaboration between institutions to further develop comprehensive tools to incorporate the latest technologies and integrate machine learning in the practice of clinical orthodontics
Topic 2:
Digital technologies have revolutionized orthodontics since Align introduced the Invisalign techniques around 20 years (already!) ago. Significant and constant improvements are made on a daily basis in all aspects of the digital workflow and now multiple companies offer digital solutions.
Today, a large amount of digital technologies is available to the orthodontic office for data acquisition, treatment simulations, aligner therapy and orthodontic appliance fabrication. These technologies require different approaches than the conventional ones, all orthodontists are familiar with. The 3D digital workflow is based on the individualization of treatment. It is not an evolution but a revolution. Early adopters have already proven the validity of this approach and a large number of companies are now offering 3D workflows, further validating the concept. More are joining every day. In addition Artificial Intelligence is bringing new processes of diagnosis and treatment planning at a very rapid pace.
In order for the orthodontist to maintain a leadership role in the digital diagnosis, planning and delivery of care of his patients, the orthodontist must become familiar in all the possibilities that the digital technologies offer.
This presentation will concentrate on exposing and explaining the different workflows necessary for the judicious application of present digital technologies in a busy orthodontic practice.
Topic 3: 3D in-house printing of aligners
Many software companies are now offering simulation software that allow the orthodontist to design aligners in a user-friendly environment. All these software are based on similar interfaces which move the dentition in its desired position on a computer screen. Many techniques have been developed to increase the predictability of these simulations, but a lot of work still need to be done.
Affordable 3D printers and resins have allowed the orthodontic office to print their own aligners in a predictable manner if a proper workflow is followed. Several printing methods and brands are proposed. This presentation will concentrate in the most popular methods, their advantages and disadvantages.
This presentation will concentrate on the latest news and methods to create and produce in-house aligners that have the potential to correct malocclusions in a predictable way. Case selection is very important as well as the execution and selection of the most appropriate software.
