الفهرس 
IntroductionOnly 14 pages are availabe for public view
 |  | from | 79 |  |  |
| | | from | 79 | | |
Abstract
Digital 3D models, which may be created directly or indirectly, are now an integral component in a variety of dental specializations. The integration of different patient data into a unique and reproducible model is important to the production of a 3D virtual model. An imaging triad of the face skeleton, extraoral soft tissue, and dentition (including the neighboring intraoral soft tissues) is essential for efficient superimposition in dentistry.
Recent advances in CT technology and software have greatly improved spatial resolution and consequently, the accuracy of occlusal anatomy imaging using CBCT. The primary benefit of using CBCT technology for 3D digital model reconstruction is that all patient data may be captured in a single scan, eliminating the requirement for an intraoral scanner or model scanner.
With the advent of new digital dental procedures, accuracy evaluation has become crucial to ensure better outcomes. Trueness and precision are the two forms of accuracy measures. Turness of a method is assessed by comparing it to a gold standard. Despite this, the accuracy of CBCT digital models has not been fully tested.
So the goal of this research is to compare the accuracy of CBCT-derived models to optically scanned models as a gold standard and to IOS-derived models as a clinical reference.
In this investigation, seven dry human mandibles were used. each with a different number of anterior and posterior teeth. First, they covered with double layer of pink wax as soft tissue simulants, To build 3D digital models, they were initially scanned using PAX-i3D green CT machine (VATECH, Korea) and then with a MIDIT I500 intraoral scanner. The mandibles were scanned using an extraoral lab scanner as the gold standard approach. Following segmentation and registration, 3D digital models were accurately evaluated on Materialize 3 Matic software using part comparison analysis and Root Mean Square calculation for quantitative evaluation of deviation between superimposed tooth surfaces, as well as color coded mapping for visual assessment. According to the research, there is a significant difference between both techniques and the gold standard, the results located within clinically accepted range of deviation and IOS-derived tooth models are more accurate than CBCT models.