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A novel workflow for computer guided implant surgery matching digital dental casts and CBCT scan.
DE Vico, G; Ferraris, F; Arcuri, L; Guzzo, F; Spinelli, D.
Afiliação
  • DE Vico G; Private Practice, Rome, Italy.
  • Ferraris F; Private Practice, Alessandria, Italy.
  • Arcuri L; DDS Private Practice, Rome, Italy.
  • Guzzo F; DDS Private Practice, Rome, Italy.
  • Spinelli D; Private Practice, Rome, Italy.
Oral Implantol (Rome) ; 9(1): 33-48, 2016.
Article em En | MEDLINE | ID: mdl-28042429
ABSTRACT
Nowadays computer-guided "flap-less" surgery for implant placement using stereolithographic tem-plates is gaining popularity among clinicians and patients. The advantages of this surgical protocol are its minimally invasive nature, accuracy of implant placement, predictability, less post-surgical discomfort and reduced time required for definitive rehabilitation. Aim of this work is to describe a new protocol (Smart Fusion by Nobel Biocare), thanks to which is now possible to do a mini-invasive static guided implant surgery, in partially edentulous patients with at least 6 remaining teeth, without the use of a radiographic guide. This is possible thanks to a procedure named surface mapping based on the matching between numerous points on the surface of patient's dental casts and the corresponding anatomical surface points in the CBCT data. The full protocol is examined focusing the attention on the clinical and laboratory procedures.

CONCLUSIONS:

Also with some critical points and needing an adequate learning curve, this protocol allows to select the ideal implant position in depth, inclination and mesio-distal distance between natural teeth and or other implants enabling a very safe and predictable rehabilitation compared with conventional surgery. It represents a good tool for the best compromise between anatomy, function and aesthetic, able to guarantee better results in all clinical situations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article