Accuracy of Dynamic Navigation System Workflow for Implant Supported Full Arch Prosthesis: A Case Series

Luigi V. Stefanelli, George A. Mandelaris, Alessio Franchina, Nicola Pranno, Michele Pagliarulo, Francesca Cera, Fabio Maltese, Francesca De Angelis and Stefano Di Carlo
Additional contact information
Luigi V. Stefanelli: Department of Oral and Maxillo-Facial Sciences, Sapienza University of Rome; 00185 Rome, Italy
George A. Mandelaris: Private Practice, Periodontics and Dental Implant Surgery, Chicago, IL 60181, USA
Alessio Franchina: Private Practice, Periodontics and Dental Implant Surgery, 36100 Vicenza, Italy
Nicola Pranno: Department of Oral and Maxillo-Facial Sciences, Sapienza University of Rome; 00185 Rome, Italy
Michele Pagliarulo: Dental Student University of Plovdiv-Bulgary, 4000 Plovdiv, Bulgary
Francesca Cera: Dental Student University of Plovdiv-Bulgary, 4000 Plovdiv, Bulgary
Fabio Maltese: Private Practice, 00192 Rome, Italy
Francesca De Angelis: Department of Oral and Maxillo-Facial Sciences, Sapienza University of Rome; 00185 Rome, Italy
Stefano Di Carlo: Department of Oral and Maxillo-Facial Sciences, Sapienza University of Rome; 00185 Rome, Italy

IJERPH, 2020, vol. 17, issue 14, 1-15

Abstract: A minimally invasive implant treatment approach for future full arch implant prosthetic rehabilitations of trophic jaws represents a challenge. An optimal implant planning is strongly related with an accurate merge of the prosthetic information and the radiographic data. To comply with that, most computer aided implantology (CAI) systems require additional steps, as radiographic stents or fiducial markers to overlap digital jaw scans to cone beam computed tomography (CBCT) data. Using dynamic CAI, residual teeth (up to three) make it possible for the merge to avoid new radiographic scans. An additional challenge is the treatment involving immediate implants compared with delayed implants placed into healed bone. As for other static CAI systems, the operator’s experience and the quality of the CBCT data make the planning affordable and secure the entire implants placement procedure. The literature reports accuracies in terms of comparison between placed implants and planned implants, following a double CBCT approach, based on radiographic volume overlapping. Thirteen consecutive future totally edentulous patients (77 implants), divided into two groups (group A: 3–4 teeth traced; group B: 5–6 teeth traced) requiring a full arch implant prosthetic rehabilitation were included in the reported case series. A dynamic CAI was used to plan and to place all implants following all the recommended digital steps. The software used provided a tool (Trace and Place) that made the merge between X-ray views of the residual teeth and their own positions possible. This method definitely registered that teeth positions comply with the required accuracy live check. After implants placement, a post-operative CBCT was taken in order to evaluate the deviations of the achieved implants at coronal, apical, and depth level as well as angular deviations. Statistically significant radiological mean difference between the two groups was found in the coronal position of implants (0.26 mm, p < 0.001), in the apical position of implants (0.29 mm, p < 0.001), in the depth of implants (0.16 mm, p = 0.022), and in the angular deviation (0.7, p = 0.004). The use of the TaP technology for the treatment of the patients with at least three stable teeth that need to be removed for a totally implant prosthetic treatment is a promising technique. The performed accuracy analysis demonstrated that this digital protocol can be used without a loss of accuracy of the achieved implants compared to planned ones.

Keywords: atrophic maxilla; computer aided implantology; navigation implantology; totally edentulous patients (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/1660-4601/17/14/5038/pdf (application/pdf)
https://www.mdpi.com/1660-4601/17/14/5038/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:17:y:2020:i:14:p:5038-:d:383995

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().