Radiological and histological evaluation of horizontal ridge augmentation using corticocancellous freeze‐dried bone allograft with and without autogenous bone: A randomized controlled clinical trial
Bibliographic record
Abstract
PURPOSE: The purpose of this study was radiological and histological evaluation of horizontal ridge augmentation using corticocancellous freeze-dried bone allograft (FDBA) with and without autogenous bone (AB). MATERIALS AND METHODS: The present research was conducted on 42 patients (27 females and 15 males) with insufficient width of edentulous ridge. The patients were randomly assigned into two groups, FDBA alone + collagen membrane (n = 21) and the combined FDBA and AB + collagen membrane (n = 21). The horizontal alveolar ridge dimensions were measured using cone-beam computerized tomography before and 6 months after alveolar ridge augmentation. At the time of insertion of implants, biopsy of new bone was taken from 11 patients in each group and was analyzed histologically. The obtained data were statistically analyzed with paired t test and two-sample t test. The registration number was IRCT201109165305N3. RESULTS: The mean ± SD ridge width gain after 6 months at the distance of 0, 2, 4, and 6 mm from crest of alveolar ridge was 2.78 ± 1.44, 3.05 ± 1.21, 2.82 ± 1.62, and 2.23 ± 1.95 mm in the FDBA group and 2.40 ± 1.60, 3.10 ± 1.80, 3.60 ± 1.87, and 2.65 ± 2.39 mm in the combined group, respectively, which was statistically significant in both groups using paired t test (P < .001). However, the difference between two groups analyzed by two-sample t test was not statistically significant (P > .05). Amount of new bone generation, remained particles, and connective tissue was not statistically different between two groups (P = .367, P = .428, and P = .598, respectively). CONCLUSION: Based on the results of this study, corticocancellous FDBA granules along with collagen membrane can successfully be used for horizontal augmentation of edentulous ridge, and adding AB to the granules of FDBA does not significantly increase the quality and quantity of regenerated bone.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".