JOURNAL ARTICLE

Effect of abutment shape on soft tissue healing: a randomized clinical pilot study with a digital superposition methodology.

  • Published In: International Journal of Computerized Dentistry, 2025, v. 28, n. 4. P. 333 1 of 3

  • Database: Dentistry & Oral Sciences Source 2 of 3

  • Authored By: Amer, Safwan; Szmukler-Moncler, Serge; Savion, Ariel; Damaskos, Thilo; Sperber, Rasmus; Beuer, Florian 3 of 3

Abstract

This article reports on a randomized clinical pilot study investigating the effect of healing abutment shape—concave versus straight—on peri-implant soft tissue dimensions after healing. Using a novel digital superposition methodology that merges cone beam computed tomography (CBCT), intraoral scans (IOS), and standard tessellation language (STL) files of abutments, the study measured changes in gingival height, width, and emergence angles around 27 implants placed in the posterior jaws of 13 patients. Results showed no significant difference in gingival height between concave and straight abutments; however, gingival thickness at concave abutments depended on whether the marginal gingiva extended beyond the concavity or remained within it, with greater thickness observed when the gingiva reached beyond the concavity. Emergence angles similarly varied with gingival position relative to the concavity. The study concludes that while abutment shape does not affect gingival height, careful selection of concave abutment height is necessary to ensure beneficial soft tissue thickening, highlighting the potential of this digital methodology for detailed peri-implant soft tissue assessment.

Additional Information

  • Source:International Journal of Computerized Dentistry. 2025/10, Vol. 28, Issue 4, p333
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2025
  • ISSN:1463-4201
  • DOI:10.3290/j.ijcd.b5951413
  • Accession Number:190248537
  • 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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