| Title |
Accuracy of dynamic navigation for non-surgical endodontic treatment: a systematic review / |
| Authors |
Jonaitytė, Eglė Marija ; Bilvinaitė, Goda ; Drukteinis, Saulius ; Torres, Andres |
| DOI |
10.3390/jcm11123441 |
| Full Text |
|
| Is Part of |
Journal of clinical medicine.. Basel : MDPI. 2022, vol. 11, iss. 12, art. no. 3441, p. [1-9].. eISSN 2077-0383 |
| Keywords [eng] |
endodontics ; dynamic navigation ; guided endodontics ; real-time tracking |
| Abstract [eng] |
In recent years, the application of Guided Endodontics has gained interest for non-surgical endodontic treatment and retreatment. The newest research focuses on the accuracy of Dynamic Navigation (DN). This article systematically reviewed existing data on the accuracy of non-surgical endodontic treatment procedures that were completed using DN. Following the PRISMA criteria, an electronic database search was conducted in PubMed, Web of Science, Scopus, and Cochrane Library. Studies comparing the accuracy of non-surgical endodontic treatment using DN and the conventional freehand technique were eligible. The literature search resulted in 176 preliminary records. After the selection process six studies were included. The risk of bias was evaluated using the modified Cochrane Collaboration Risk of Bias 2.0 tool. Five studies examined the aid of DN for planning and executing endodontic access cavities, and one for fiber post removal. In two studies, endodontic access cavities were performed in teeth with pulp canal obliteration. The main outcomes that were measured in the included studies were preparation time, global coronal entry point and apical endpoint deviations, angular deviation, tooth substance loss, qualitative precision, number of unsuccessful attempts or procedural mishaps. The risk of bias was rated from low to raising some concerns. Overall, DN showed increased accuracy compared to the freehanded technique and could be especially helpful in treating highly difficult endodontic cases. Clinical studies are needed to confirm the published in vitro data. |
| Published |
Basel : MDPI |
| Type |
Journal article |
| Language |
English |
| Publication date |
2022 |
| CC license |
|
