Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Evaluation of Immediate Implant Placement Using Dual Zone Approach Versus Connective Tissue Graft

Cairo University · 2021
ClinicalTrials.gov · Datasets · License: Public Domain · 2021
Open Source ↗
na
Tooth extraction is followed by ridge alteration and soft tissue collapse and recession. Different strategies were proposed to limit this collapse however, the ability of these techniques to mimic the original soft tissue level and to maintain long term stability is unclear (Slagter et al., 2014). Using customized contoured healing abutments at the time of immediate implant placement is a treatment modality to improve esthetics by maintaining the soft tissue level and contour (Ruales-Carrera et al, 2019, Perez et al, 2020). Using connective tissue grafts has been suggested to enhance and maintain soft tissue stability, however, the effect of the combined procedures for maintenance of the soft tissue morphology compared to customized healing abutments alone remains unclear (Atieh et al, 2019). In patients with non-restorable teeth in the esthetic zone, will the use of bone grafts to the dual zone with customized healing abutment vs the use of connective tissue graft with customized healing abutment in immediately placed implants shows better buccal contour avoiding horizontal collapse?
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1073238
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive