rhBMP‐2/αBSM® Induces Significant Vertical Alveolar Ridge Augmentation and Dental Implant Osseointegration
Bibliographic record
Abstract
BACKGROUND: Recombinant human bone morphogenetic protein 2 (rhBMP-2) in a carrier has been shown to induce significant bone formation. Several candidate carriers, however, lack structural integrity to offset compressive forces that may compromise rhBMP-2 bone induction, in particular, for challenging onlay indications such as alveolar ridge augmentation. PURPOSE: The objective of this study was to evaluate rhBMP-2 in a calcium-phosphate cement carrier, alphaBSM, for vertical alveolar ridge augmentation and immediate dental implant osseointegration. MATERIALS AND METHODS: Six adult Hound Labrador mongrels with 5 mm critical size supra-alveolar peri-implant defects were used. Three animals received rhBMP-2/alphaBSM (rhBMP-2 at 0.40 and 0.75 mg/mL) in contralateral jaw quadrants (total implant volume/defect approximately 1.5 mL). Three animals received alphaBSM without rhBMP-2 (control group). The animals were euthanized at 16 weeks post surgery, and block biopsies were processed for histologic and histometric analysis. RESULTS: rhBMP-2/alphaBSM induced substantial augmentation of the alveolar ridge. Control sites exhibited limited new bone formation. Vertical bone augmentation averaged (+/- SD) 4.9 +/- 1.0 mm (rhBMP-2 at 0.40 mg/mL), 5.3 +/- 0.3 mm (rhBMP-2 at 0.75 mg/mL), and 0.4 +/- 0.4 mm (control); new bone area 8.5 +/- 4.2 mm2, 9.0 +/- 1.9 mm2, and 0.5 +/- 0.4 mm2; new bone density 55.1 +/- 6.4%, 61.1 +/- 6.0%, and 67.7 +/- 9.5%; and new bone-implant contact 26.9 +/- 17.5%, 28.5 +/- 1.4%, and 24.6 +/- 16.1%, respectively. Residual alphaBSM comprised < 1% of the new bone. Bone density for the contiguous resident bone ranged from 65 to 71%, and bone-implant contact ranged from 49 to 64%. CONCLUSIONS: Surgical implantation of rhBMP-2/alphaBSM appears an effective protocol for vertical alveolar ridge augmentation procedures and immediate dental implant osseointegration and for onlay indications of lesser complexity.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".