Reliability of Cone Beam Computed Tomography in Predicting Implant Treatment Outcomes in Edentulous Patients

Author:

Alhossan Abdulaziz12,Chang Yu-Cheng1ORCID,Wang Tun-Jan1ORCID,Wang Yu-Bo3,Fiorellini Joseph P.1

Affiliation:

1. Department of Periodontics, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA

2. Department of Periodontics and Community Dentistry, Dental College, King Saud University, P.O. Box 60169, Riyadh 11545, Saudi Arabia

3. School of Mathematical and Statistical Sciences, Clemson University, Clemson, SC 29634, USA

Abstract

Since the development of CBCT has been utilized in dentistry, the images of the CBCT can assist the surgeon to evaluate the anatomy carefully. Despite the value of radiology evaluation, implant procedures may require additional consideration rather than only evaluating the anatomical factors. The purpose of this study is to evaluate the predictability of using CBCT alone to plan for implant placement in edentulous patients digitally. CBCT images were analyzed by clinicians, measuring the maxillary and mandibular ridge heights and widths digitally of four predetermined implant sites in the maxillary and two selected implant sites in the mandibular arches of 91 patients planning for implant-supported overdenture. A total of 47 patients out of the 91 had completed implant placement on the edentulous ridge, contributing to 55 upper and/or lower arches (136 dental implants). Both predictabilities are low, implying that CBCT planning for implant placement on the edentulous ridge is not a good index and is insufficient to predict the surgical procedures as a solo method. The findings of this study indicate that digital planning by CBCT is insufficient to serve as an individual tool to predict implant procedures. Further information and evaluation must be considered for implant placement in the edentulous ridge.

Funder

American Academy of Periodontology Foundation Teaching Fellowship

Schoenleber Pilot Grant, University of Pennsylvania

Publisher

MDPI AG

Subject

Clinical Biochemistry

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