Reconstruction of the Posterior Auditory Canal with Hydroxyapatite-Coated Titanium
Bibliographic record
Abstract
There are a variety of techniques for treating chronically discharging radical mastoid cavities. The purpose of this article is to report the preliminary results of an original technique for reconstruction of the posterior auditory canal using a titanium net combined with porous hydroxyapatite coating. Titanium is fixed with two screws to the mastoid tip and zygomatic root to prevent the risk of implant dislocation. Eight patients with chronically discharging radical mastoid cavities that failed medical management underwent reconstruction of the mastoid cavity using this technique. After surgery, all cases had rapid healing and good aeration of the middle ear and mastoid. One tympanic membrane reperforated, and no extrusion of the prostheses were detected clinically or on computed tomography scanning. The minimum postoperative follow-up period has been 12 months (range 12-48 months). To date, there has been no evidence of cholesteatoma recurrence. The preliminary results remain encouraging. Larger series and longer follow-up, however, are advisable to prove real validity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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".