Alveolar Ridge Preservation using Autogenous Whole-Tooth versus Demineralized Dentin Grafts: A Randomized Controlled Clinical Trial
Abstract
OBJECTIVE
The objective of this randomized controlled trial was to evaluate the radiographic changes and histologic healing following alveolar ridge preservation (ARP) using autogenous whole tooth (AWTG), test group versus demineralised dentin (ADDG), control group.
MATERIAL AND METHODS
20 non-molar teeth indicated for extraction were randomized into two groups (n=10/group). Extracted teeth were prepared into AWTG or ADDG (0.6N HCl; 30 minutes), inserted into extraction sockets and covered by collagen membranes. Cone beam computed tomography (CBCT) scans at baseline and six months were compared to assess ridge dimensional changes. At six months, bone biopsies of engrafted sites were harvested and analyzed histomorphometrically.
RESULTS
All sites healed uneventfully. Reduction was 0.85±0.38mm and 1.02±0.45mm in ridge width, 0.61±0.20mm and 0.72±0.27mm in buccal and 0.66±0.31mm and 0.56±0.24mm in lingual ridge height for the AWTG- and ADDG-group respectively (p>0.05). Histologically, no inflammatory reactions were noticeable and all samples showed new bone formation. Qualitatively, graft-bone amalgamations were more pronounced in ADDG samples. Histomorphometrically, new bone, graft remnants and soft tissue occupied 37.55±8.94%, 17.05±5.58% and 45.4±4.06% of the areas in the AWTG-group, and 48.4±11.56%, 11.45±4.13% and 40.15±7.73% in the ADDG-group of the examined areas respectively (p>0.05).
CONCLUSIONS
ATWG and ADDG are similarly effective in ARP. Yet, histologically ADDG…
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 10 participants or records.
Read the paper
Related studies
- In silico toxicology protocols
- QM7-X, a comprehensive dataset of quantum-mechanical properties spanning the chemical space of small organic molecules
- Quantum Informed Machine-Learning Potentials for Molecular Dynamics Simulations of CO2's Chemisorption and Diffusion in Mg-MOF-74
- In-silico strategies in nano-drug design: Bridging nanomaterials and pharmacological applications
- mRNA codon optimization with quantum computers
- The computational power of the human brain
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.