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Contemporary full-mouth rehabilitation using a digital smile design in combination with conventional and computer-aided design/manufacturing restorative materials in a patient with bruxism: A case report

Cited 4 time in Web of Science Cited 4 time in Scopus
Authors

Lee, Jae-Hyun; Kim, Sung-Hun; Han, Jung-Suk; Yeo, In-Sung Luke; Yoon, Hyung-In

Issue Date
2019-11
Publisher
Lippincott Williams & Wilkins Ltd.
Citation
Medicine, Vol.98 No.48, p. e18164
Abstract
Rationale: Full-mouth rehabilitation of patients with bruxism and severely worn dentition poses a great challenge to clinicians. Several treatment planning methods and restorative materials are used to treat tooth wear in modern dentistry. Clinicians should be able to select the most suitable treatment planning methods and materials for individual patients depending on their specific situation. Patient concerns: A 47-year-old male was referred for evaluation of a severely worn dentition. Diagnoses: Clinical and radiographic evaluation revealed tooth wear in the entire dentition. The interocclusal distance at rest was 4 mm, and the patient had a parafunctional habit of bruxism. Interventions: A digital smile design was used to formulate a treatment plan. Full-mouth rehabilitation was performed using a combination of conventional and digital materials and methods. Outcomes: The full-mouth restoration showed satisfactory functions and esthetics. No complications were observed in the restorations, supporting tissues, and temporomandibular joints during 2-year follow-up. Lessons: In clinical practice, it is important to determine the optimal combination of the available methods for treatment planning. This case report details the formulation of a unique treatment plan for the dental rehabilitation of a severely worn out dentition, which is considered challenging due to the limitations imposed by biological tissues and restorative materials. The use of conventional and digital tools for treatment planning, patient education, and treatment execution was demonstrated.
ISSN
0025-7974
URI
https://hdl.handle.net/10371/191786
DOI
https://doi.org/10.1097/MD.0000000000018164
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  • School of Dentistry
  • Department of Dentistry
Research Area Big Data Analysis, Dental Implant, Digital Dental Technology

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