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A new technique to identify the location of the mucogingival junction on computer tomographic scans before implant
Dennis P Tarnow1, José M Pérez, Salah S Ghamid
1*Clinical Professor and Director of Implant Education, Columbia University College of Dental Medicine, New York, NY. †Assistant Clinical Professor, University of Santiago de Compostela; Private Practice, Noya, Spain. ‡Former Implant Resident, Ashman Department of Periodontology and Implant Dentistry, New York University College of Dentistry, New York, NY. §Clinical Assistant Professor, Ashman Department of Periodontology and Implant Dentistry, New York University College of Dentistry, New York, NY. ‖Clinical Professor and Director of Clinical Research, Ashman Department of Periodontology and Implant Dentistry, New York University College of Dentistry, New York, NY; Private Practice, New York, NY. ¶Implant Fellow, Ashman Department of Periodontology and Implant Dentistry, New York University College of Dentistry, New York, NY. **Clinical Assistant Professor, Director of Advanced Program for International Dentists in Implant Dentistry, and Codirector of Clinical Research, Ashman Department of Periodontology and Implant Dentistry, New York University College of Dentistry, New York, NY.
Abstract:
A new technique is presented to identify the location of mucogingival junction (MGJ) on CT scans before implant placement. This case report describes the step-by-step fabrication of a radiographic template, which when used in conjunction with CT scans enables the clinician to locate the position of MGJ before implant placement and predict the amount of keratinized tissue (KT) that will be present around an implant. Using this technique, the operator can determine whether or not flapless implant surgery may be a treatment option and whether simultaneous soft tissue augmentation will be necessary at the time of implant placement to establish an adequate band of KT.
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