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Implant scanning workflows require the recording of scans containing different information, including the soft tissue, tooth, and implant position of the arch being restored, antagonist arch, and maxillomandibular relationship. Implant scanning workflows vary depending on the implant scanning technique selected for recording the position of the implants being restored and the clinical condition of the patient. This manuscript describes an implant scanning workflow for fabricating an implant-supported prosthesis in which an intraoral photogrammetry system was used for recording implant positions. Additionally, coded healing abutments were used to capture the soft tissue information scan. This coded healing abutments avoided the need for the posterior alignment between the soft tissue and implant position information scans in computer-aided design programs and solved clinical complications such as the movement or dislodgement of the fiducial markers or fixation screws used to guide the alignment of the different scans. Understanding the different digital workflows allows dental professionals to record the necessary information for fabricating implant-supported prostheses efficiently.
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http://dx.doi.org/10.1016/j.prosdent.2025.06.036 | DOI Listing |
Cureus
August 2025
Department of Oral and Maxillofacial Surgery, University College of Medicine and Dentistry, The University of Lahore, Lahore, PAK.
Background And Aim: The incisive (nasopalatine) canal is an important anatomical structure of the anterior maxilla. It holds significance for surgeries and implant placement in the central incisor region. The size, shape, and relation with surrounding bones may vary by age, gender, and ethnicity.
View Article and Find Full Text PDFCureus
August 2025
Research, Spinal Simplicity, LLC, Overland Park, USA.
Background Sacroiliac joint fusion is performed to stabilize and fuse the joint in patients with degenerative sacroiliitis and joint dysfunction. While several posterior techniques and implants exist as alternatives to lateral approaches, biomechanical and clinical performance data for these systems used as standalone remains limited. This article provides a preliminary cadaveric and clinical assessment of a novel posterior intra-articular sacroiliac fusion implant system.
View Article and Find Full Text PDFInt J Oral Implantol (Berl)
September 2025
Purpose: To compare the accuracy of static guided surgery using a pilot drill guide and dynamic guided surgery for dental implant placement.
Materials And Methods: Partially edentulous adult patients requiring implant placement were randomly assigned to either the static guided surgery group using a pilot drill guide or the dynamic guided surgery group. Digital implant planning was conducted using intraoral scans and CBCT with planning software to determine the optimal prosthetic position.
Int J Oral Implantol (Berl)
September 2025
Purpose: To present a novel digital workflow (the Columbus Digital Bridge Protocol) for immediately loaded full-arch rehabilitations, integrating digital technologies throughout diagnostic, surgical and prosthetic phases, with a focus on the application of intraoral photogrammetry scanning.
Materials And Methods: The workflow presented in this article, successfully implemented in 14 patients, includes standardised clinical steps: digital diagnostic planning through matching of facial scans and CBCT data, surgical placement of four implants following tooth extraction, immediate post-surgical intraoral photogrammetry scanning using a three-step procedure (i.e.
Clin Implant Dent Relat Res
October 2025
State Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Department of Oral Implantology, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
Introduction: This in vitro study evaluated how different forces applied to the dental drill handle during static computer-assisted implant surgery influence surgical guide deformation and implant placement accuracy.
Methods: Twenty-four virtual implants were divided into six groups (0-10 N, in 2 N increments). Surgical guides were scanned under loaded conditions, and deviations were quantified by superimposition with the baseline model.