Explantation Site Management: A Decision Algorithm for Re-Implantation.

Abstract

Dental implants are currently the preferred choice to restore function and esthetics. Nonetheless, explantation is sometimes inevitable in cases with advanced bone loss, implant fracture, or improper implant position. This study aimed to propose an algorithm for re-implantation at the sites of previous failure. There is limited evidence on replacement of failed dental implants, most of which are case reports or clinical trials with small number of patients. To the best of our knowledge, this is the first study proposing a clinical decision algorithm to help clinicians manage implant failures with new fixtures. There are a variety of reasons contributing to implant failure. The etiological factor of failure and the morphology of the residual defect have paramount importance on implant removal techniques and subsequent treatment modalities. There is no consensus on a distinct protocol to replace failed implants. However, the clinicians and patients should know that placing a new implant in an area with a history of failure, regardless of early or late implant failure, may have a lower survival rate.