A Theoretical Iteration for Predicting the Feasibility for Immediate Functional Dental Implant Loading.


Journal

The Journal of oral implantology
ISSN: 0160-6972
Titre abrégé: J Oral Implantol
Pays: United States
ID NLM: 7801086

Informations de publication

Date de publication:
01 Aug 2021
Historique:
pubmed: 9 10 2020
medline: 3 9 2021
entrez: 8 10 2020
Statut: ppublish

Résumé

When planning an implant-supported restoration, the dentist is faced with surgical and prosthetic technical issues as well as the patient's expectations. Many patients wish an immediate solution to an edentulous condition. This may be especially true in the esthetic zone, and that zone is determined by the patient. The dentist may consider when it is feasible to load the supporting implants with definitive or provisional prosthetics. In this work, many parameters were theoretically assessed for inclusion: bone density, cortical thickness, insertion torque, parafunction, bite load capacity, number of implants under load, implant/crown ratio, implant diameter, and length. After assessment, the most influential parameters were selected. An iteration, using patient age, implant diameter, bite load capacity, and cortical thickness, is now presented to aid the implant dentist in determining the feasibility for immediate functional loading of a just-placed dental implant in a healed site. Extensive testing is required to develop this concept. According to this iteration, most immediate functional loaded implants would fail. A future refined and definitive formula may enable the clinician to safely and immediately functionally load an implant with a definitive prosthesis. For access to the applet, please go to https://implantloading.shinyapps.io/shiny_app/.

Identifiants

pubmed: 33031553
pii: 445834
doi: 10.1563/aaid-joi-D-20-00194
doi:

Substances chimiques

Dental Implants 0

Types de publication

Journal Article

Langues

eng

Pagination

310-317

Auteurs

Dennis Flanagan (D)

University of Connecticut, Department of Mechanical Engineering, Storrs, Conn.

Alessandro Fisher (A)

University of Connecticut, Department of Mechanical Engineering, Storrs, Conn.

Carmen Ciardiello (C)

University of Connecticut, Department of Mechanical Engineering, Storrs, Conn.

Vito Moreno (V)

University of Connecticut, Department of Mechanical Engineering, Storrs, Conn.

David Pierce (D)

University of Connecticut, Department of Mechanical Engineering, Storrs, Conn.

Alen Uvalic (A)

University of Connecticut, Department of Mechanical Engineering, Storrs, Conn.

Jyotsna Winsor (J)

University of Connecticut, Department of Mechanical Engineering, Storrs, Conn.

Mark Rubano (M)

University of Connecticut, Department of Mechanical Engineering, Storrs, Conn.

Eric Howard (E)

University of Connecticut, Department of Mechanical Engineering, Storrs, Conn.

George Lykotrafitis (G)

University of Connecticut, Department of Mechanical Engineering, Storrs, Conn.

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