A New Method For Selecting Maxillary Anterior Artificial Teeth In Complete Dental Prostheses Development of a Data Processing Program for ArtificialTeeth Selection

Authors : Sarkis SOZKES; Imad KILIC

Volume/Issue : Volume 5 - 2020, Issue 10 - October

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/38AJWzy

One of the difficulties of fabricating complete dentures is selection of the appropriate size of artificial teeth, i.e. selection of maxillary anterior teeth, commonly known as reference guide teeth. Nowadays, many anatomical structures can be used as guides to choose teeth for completely edentulous patients. In the classical tooth selection method, the nasal septum that passes through nasal wings is taken as the reference. This method is used by dentists to select anterior maxillary teeth and is recommended by various prefabricated tooth manufacturers. This method’s drawback is that measurements are taken on soft tissues, whose dimensions often change. The development of humans’ skull structure is completed after the age of approximately 18 when the interpupillary distance (PD) becomes constant. Therefore, PD can be used to obtain the appropriate tooth structure when a suitable method for selecting anterior maxillary teeth is developed. The method proposed in this study is aimed at developing a method for determining mesiodistal diameters of maxillary anterior teeth using PD and then listing the most suitable teeth using a computer-aided program after entering measurement values and other data into the program. These measurement values and data are the PD, material selection for the teeth (acrylic or porcelain), face type and gender of the person. This original research study proposes a new method for selecting the most appropriate maxillary anterior teeth resembling natural teeth in terms of aesthetics and functionality during the construction phase of dental prostheses in completely edentulous patients.

Keywords : Complete Denture, Tooth Selection, Artificial Intelligance.


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31 - May - 2022

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