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DOI 10.3791/63781

Медицинская библиотека · Journal of visualized experiments : JoVE · 2022

Guided Endodontics: Three-dimensional Planning and Template-aided Preparation of Endodontic Access Cavities.

Leontiev Wadim, Connert Thomas, Weiger Roland, Dagassan-Berndt Dorothea, Krastl Gabriel, Magni Eva

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Аннотация

Pulp canal obliterations (PCO) are often a consequence of dental trauma, such as luxation injuries. Even though dentin apposition is a sign of vital pulp, pulpitis or apical periodontitis may develop in the long term. Root canal treatment of teeth with severe PCO and pulpal or periapical pathosis is challenging for general practitioners and even for well-equipped endodontic specialists. To ensure detection of the calcified root canal and avoid excessive loss of tooth structure or root perforation, static navigation using templates ("Guided Endodontics") was introduced a few years ago. The general workflow includes three-dimensional imaging using cone-beam computed tomography (CBCT), a digital surface scan, and superimposition of both in a planning software. This is followed by virtual planning of the access cavity and the design of a template that will guide the drill to the desired target point. To do this, a true-to-scale virtual image of the drill must be placed in a way that the tip of the drill reaches the orifice of the calcified root canal. Once the template has been fabricated using computer-aided design and computer-aided manufacturing (CAD/CAM) or a 3D printer, guided preparation of the access cavity can be performed clinically. For research purposes, a postoperative CBCT image can be used to quantify the accuracy of the access cavity performed. This work aims to present the technique of static guided endodontics from imaging to clinical implementation.

Для цитирования: Leontiev Wadim, Connert Thomas, Weiger Roland, Dagassan-Berndt Dorothea, Krastl Gabriel, Magni Eva. Guided Endodontics: Three-dimensional Planning and Template-aided Preparation of Endodontic Access Cavities.. Journal of visualized experiments : JoVE. 2022. DOI: 10.3791/63781.

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