JOURNAL ARTICLE

Novel digital way to measure the vertical and horizontal dimensions of the supracrestal peri-implant soft tissue.

  • Published In: International Journal of Computerized Dentistry, 2025, v. 28, n. 3. P. 235 1 of 3

  • Database: Dentistry & Oral Sciences Source 2 of 3

  • Authored By: Szmukler-Moncler, Serge; Savion, Ariel; Sperber, Rasmus; Kolerman, Roni; Beuer, Florian 3 of 3

Abstract

The article focuses on a novel digital superimposition workflow designed to measure the vertical and horizontal dimensions of the supracrestal peri-implant soft tissue throughout all stages of dental implant treatment and beyond. By digitally merging preoperative cone beam computed tomography (CBCT) scans, successive intraoral scans (IOSs), and stereolithography (STL) files of healing abutments, prosthetic abutments, and crowns, the method enables precise, noninvasive assessment of gingival height, width, papilla thickness, and the pressure exerted by crowns on the gingiva. This approach overcomes limitations of previous techniques by allowing detailed visualization and measurement of soft tissue dimensions that were previously inaccessible without invasive procedures or excessive radiation. The workflow offers valuable potential for clinical research to better understand peri-implant soft tissue dynamics, optimize implant and prosthetic designs, and improve long-term esthetic and functional outcomes.

Additional Information

  • Source:International Journal of Computerized Dentistry. 2025/07, Vol. 28, Issue 3, p235
  • Document Type:Article
  • Subject Area:Physics
  • Publication Date:2025
  • ISSN:1463-4201
  • DOI:10.3290/j.ijcd.b5638066
  • Accession Number:187829408
  • 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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