Literature DB >> 26922210

Technique for identifying keratinized gingival tissue and soft tissue morphology on 3-dimensional implant-planning software images.

Toshio Kaku1, Yoichiro Ogino2, Yasuyuki Matsushita3, Kiyoshi Koyano4.   

Abstract

Preoperative 3-dimensional (3D) planning using cone beam computed tomography (CBCT) and 3D implant-planning software is used routinely for implant placement. However, despite its importance in planning surgical technique (conventional or flapless surgery) and prognosis, the distribution of keratinized gingival tissues (KGT) and soft tissue morphology cannot be identified with CBCT or planning software images. This report introduces a technique for identifying the distribution of KGT and soft tissue morphology during preoperative 3D planning.
Copyright © 2016 Editorial Council for the Journal of Prosthetic Dentistry. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 26922210     DOI: 10.1016/j.prosdent.2015.09.031

Source DB:  PubMed          Journal:  J Prosthet Dent        ISSN: 0022-3913            Impact factor:   3.426


  1 in total

1.  A Novel Method for Digital Reconstruction of the Mucogingival Borderline in Optical Scans of Dental Plaster Casts.

Authors:  Leonard Simon Brandenburg; Stefan Schlager; Lara Sophie Harzig; David Steybe; René Marcel Rothweiler; Felix Burkhardt; Benedikt Christopher Spies; Joachim Georgii; Marc Christian Metzger
Journal:  J Clin Med       Date:  2022-04-24       Impact factor: 4.964

  1 in total

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