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A Clinical Algorithm for Full-Mouth Rehabilitation in Patients With Generalized Severe Tooth Wear: A Case Report
Łukasz Lassmann1,2, Adam Pióro1, Javier Calatrava3,4
1Private Practice, One & Only Clinic, Gdańsk, Poland.
This study presents a structured approach for full-mouth rehabilitation in severe tooth wear patients. Combining functional risk classification and the Smile Design and Space (SDS) Concept improves diagnosis and treatment planning.
Area of Science:
- Dentistry
- Prosthodontics
- Restorative Dentistry
Background:
- Generalized severe tooth wear presents complex challenges in full-mouth rehabilitation.
- Esthetic and phonetic deficits often accompany significant tooth structure loss.
Purpose of the Study:
- To introduce a structured decision-making framework for full-mouth rehabilitation in severe tooth wear.
- To integrate functional risk classification (Green, Yellow, Red) with the Smile Design and Space (SDS) Concept for vertical dimension planning.
Main Methods:
- A diagnostic protocol including questionnaires and clinical examination was employed.
- The patient was classified as 'Yellow' risk, indicating the need for interdisciplinary treatment.
- The SDS Concept guided vertical dimension of occlusion (VDO) increase, utilizing incisal display, smile line, and prosthetic space.
- Functional crown lengthening and adhesively bonded restorations were performed.
Main Results:
- A 10 mm increase in VDO was well-tolerated, leading to improved esthetics and phonetics.
- Stable occlusion was achieved post-rehabilitation.
- The SDS protocol proved to be a reproducible, esthetically driven method for VDO and prosthetic space evaluation without complications.
Conclusions:
- Integrating functional risk classification with the SDS concept offers an individualized and systematic approach to full-mouth rehabilitation.
- This combined strategy enhances diagnostic accuracy and interdisciplinary communication in managing severe tooth wear.
- The presented method facilitates predictable outcomes in complex restorative cases.
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