Accuracy and surgical feasibility of a CBCT‐based stereolithographic surgical guide aiding autotransplantation of teeth: <i>in vitro</i> validation

TLDR

The study aimed to assess the accuracy of a 3D computer model and stereolithographic replica against the real tooth and to develop a CBCT‑based planning technique with a surgical guide. Using SimPlant Pro 12.1, the authors segmented donor teeth from Scanora CBCT scans, fabricated STL surgical guides and tooth replicas, and employed them to prepare sockets in a dry mandible. The models achieved acceptable accuracy, with 79 % of points within ±0.25 mm, 3 % overestimated, 18 % underestimated, and the guide system enabled pre‑extraction socket preparation and optimized in‑vivo autotransplantation planning.

Abstract

Summary The aims of this study were to determine the accuracy of a 3D computer model and stereolithographic (STL) replica when compared to the real tooth and to develop a cone beam computed tomography (CBCT)‐based planning technique including surgical guide fabrication. A STL surgical guide and a tooth replica were fabricated using SimPlant Pro 12.1. To validate this process, tooth segmentation and replica design were prepared for comparison to an optical scan of the corresponding tooth. For surgical intervention, a dry dentate mandible was scanned using a Scanora CBCT and the donor tooth was segmented. The donor tooth was repositioned, and two guides were designed. These tooth replica and guides were used in socket preparation of the dry mandible. The 3D computer model of the segmented teeth and related STL models showed satisfactory results with an acceptable accuracy. The surfaces were within 0·25 mm distance, but in some areas up to 2·5 mm deviation were seen. The results showed that 79% of the points was between 0·25 and −0·25 mm, 3% was overestimated (&gt;0·25 mm) and 18% was underestimated (&lt;−0·25 mm). The computer‐based repositioning of the donor tooth and construction of tooth replica and guide allowed socket preparation before donor tooth extraction and optimization of the STL procedure for in vivo planning of CBCT‐based autotransplantation.