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EVENTS
Predictable Surgical and Restorative Solutions to Everyday Implant Rehabilitation Scenarios
Date(s)
Jul. 9, 2024 at 7:30 PM - 8:30 PM
Ryan S. Kang, DMD, MS, ABGD
Subject: 690 Implants
Credits: 1
Method: Lecture
Tuesday, July 9: 7:30–8:30 p.m. CDT
Audience: Students, Residents, Dentists
Fee: $37.50 (students and residents); $75 (members); $125 (nonmembers)
Description
Dental implant therapy in the anterior and posterior regions presents unique challenges to clinicians trying to achieve ideal esthetic and biologic results. In the past, implant surgery was performed wherever the patient’s anatomy allowed an implant to be placed. This strategy led to unpredictable outcomes and challenging restorative scenarios that did not meet patients’ high expectations. Many strategies have since been developed to reduce the variability and unpredictability of implant therapy and the final prosthetic outcome. The biggest paradigm shift is restorative-driven planning and the use of implant surgical guides. This shift has opened up the possibility of treating esthetic regions with high predictability. The purpose of this presentation is to demonstrate one such strategy.
Learning Objectives
- Understand the benefit of digital presurgical planning and fully guided implant surgery.
- Understand the benefit of prefabricating an implant temporary “shell” crown vs. the traditional “injection mold” technique.
- Learn what patient data is required to digitally plan, design and fabricate surgical guides and pre-indexed temporaries.
Speaker Bio
Ryan S. Kang, DMD, completed his dental education at the University of Pittsburgh School of Dental Medicine in 2018. He was awarded the Health Professions Scholarship and commissioned as a captain in the United States Army Dental Corps. Kang has completed his two-year advanced education in general dentistry residency program and is a diplomate of the American Board of General Dentistry. As a result of his residency training, he has published his paper, “The Success of Oral Appliance Therapy Based on Symptom-Driven Titration,” in a peer-reviewed journal.
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