Guided Bone Augmentation around a Titanium Bone‐Anchored Hearing Aid Implant in Canine Calvarium: An Initial Comparison of Two Barrier Membranes
Bibliographic record
Abstract
BACKGROUND: The placement of a bone-anchored hearing aid (BAHA) implant in young children may be hampered by the presence of thin, poor-quality calvarial bone. The use of extraskeletal guided skull bone augmentation around the titanium implant is one potential solution. PURPOSE: To compare the effectiveness of a collagen membrane BioSISt (Cook Biotech Inc., Lafayette, IN, USA) and a PGA/PLA barrier membrane, Osseoquest (W.L. Gore & Associates, Flagstaff, AZ, USA) in promoting extraskeletal bone formation, when combined with cancellous bone graft, around a titanium implant in the canine calvarium. The quality and quantity of bone tissue was compared. MATERIALS AND METHODS: A 4-mm titanium BAHA implant was placed in the cranial parietal bone of 11 dogs. The implant protruded from the bone surface by a measured distance. Two groups, each of three dogs, received an implant, cancellous bone graft, and either a BioSISt or Osseoquest membrane. Three dogs received implant and bone graft (positive controls), and two received an implant only (negative controls). Samples were retrieved at 3, 6, and 9 months after placement. Undecalcified histologic and histomorphometric assessments were made of the augmented bone thickness, and bone gain factors were calculated for each sample group. RESULTS: The process of osseointegration of the implants was ongoing and increased over time. Bone generation occurred with both test membranes and the early trabecular bone that formed, matured, and remodelled to compact bone at 9 months. BioSISt membrane samples showed superior quality and quantity of augmented bone compared with Osseoquest samples that exhibited thinner bone with persistent inflammation. Quantitatively, the BioSISt samples showed statistically greater new bone contact and bone area than both the positive and negative controls, whereas Osseoquest samples did not. The bone gain factor was statistically greater for BioSiSt samples when compared to the positive and negative controls whereas the Osseoquest samples were not. CONCLUSIONS: In this study, the collagen BioSISt membrane promoted bone formation of superior quality and quantity compared with the polyglycolic/polylactic acid-based Osseoquest membrane and positive and negative controls over 9 months. Further investigation of the use of the collagen BioSISt membrane for cranial bone augmentation is warranted.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".