Basic ResearchStress Analyses of Retrograde Cavity Preparation Designs for Surgical Endodontics in the Mesial Root of the Mandibular Molar: A Finite Element Analysis—Part II
Section snippets
Construction of a 3-dimensional Finite Element Root Model
The method of construction of a 3-dimensional (3D) finite element root model was presented in a previous article2. To summarize, 1 mandibular first molar was scanned at 2-μm intervals in a micro–computed tomographic system (HMX; X-Tek Group, Santa Clara, CA) to obtain the 3D geometric configuration of the root. The literature was searched to obtain the general size and dimension of the root5, 6, 7 and, based on this information, a standard 3D model of a mandibular first molar’s mesial root was
Results
The von Mises stress values from the experimental groups with or without retrograde filling are shown in Figure 2. In the condition with retrograde filling, the von Mises stress decreased gradually according to the enlargement of the prepared cavity in the subgroups (Fig. 2A, B, E and F). In the condition without retrograde filling, the von Mises stress increased as the preparation cavity enlarged (Fig. 2C, D, G and H). Subgroup 4 in group 2, which did not have retrograde filling (Fig. 2H),
Discussion
According to previous studies on the prognostic factors of endodontic microsurgery, the success rates of molars are lower than that of anterior teeth16,17. The low success rate of the molar may be caused by the difficult access to the surgical field and the complexity of the root canal anatomy18. One of the anatomic differences between the molar and the anterior tooth is the presence of 2 or more root canals in a single root. In particular, the mesial root of most mandibular molars has 2 root
Acknowledgments
Sunil Kim and Dongzi Chen contributed equally to this study.
Supported by the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education (grant no. 2018R1D1A1A09081906) and the Ministry of Science, ICT and Future Planning (grant no. NRF-2017R1C1B5018113).
The authors deny any conflicts of interest related to this study.
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