JOURNAL ARTICLE

Implant position and guided placement for in-house–produced CAD/CAM restorations with titanium (Ti)-bases.

  • Published In: International Journal of Computerized Dentistry, 2023, v. 26, n. 1. P. 75 1 of 3

  • Database: Dentistry & Oral Sciences Source 2 of 3

  • Authored By: Conejo, Julián; Isleem, Wael; Atria, Pablo J.; Ayub, José María; Baumgarten, Harold S.; Blatz, Markus B. 3 of 3

Abstract

The article focuses on clinical guidelines for prosthetically driven implant positioning and chairside CAD/CAM fabrication of implant-supported restorations using titanium (Ti) bases. It emphasizes the advantages of digital dentistry tools—such as intraoral scanners, CBCT, 3D planning software, and CAD/CAM systems—in improving the accuracy of implant placement, optimizing esthetics and function, and reducing treatment time. Key parameters for ideal 3D implant positioning include maintaining a 2 mm distance from adjacent teeth and the buccal bone plate, and ensuring 3 to 4 mm vertical space from the implant platform to the planned cervical margin to support natural emergence profiles and soft tissue stability. The article also presents a clinical case demonstrating the workflow from digital planning and computer-guided surgery to chairside fabrication of provisional and definitive monolithic ceramic restorations bonded to Ti bases, highlighting their retrievability, precision fit, and long-term success when proper protocols are followed.

Additional Information

  • Source:International Journal of Computerized Dentistry. 2023/01, Vol. 26, Issue 1, p75
  • Document Type:Article
  • Subject Area:Geology
  • Publication Date:2023
  • ISSN:1463-4201
  • DOI:10.3290/j.ijcd.b3818287
  • Accession Number:162602957
  • Copyright Statement:Copyright of International Journal of Computerized Dentistry is the property of Quintessence Publishing Company Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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