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

Toshio Kaku, Yoichiro Ogino, Yasuyuki Matsushita, Kiyoshi Koyano

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)21-24
Number of pages4
JournalJournal of Prosthetic Dentistry
Volume116
Issue number1
DOIs
Publication statusPublished - Jul 1 2016

All Science Journal Classification (ASJC) codes

  • Oral Surgery

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