A case report of cochlear implantation in patients with osteopetrosis: surgical approaches and auditory results
Bibliographic record
Abstract
Background: Osteopetrosis (OP) is a rare disease of the skeletal system that can be associated with complications such as bone fracture, nerve dysfunction and deafness due to increased bone density and reduced bone quality. In this regard and due to the challenge that it can cause for cochlear implantation (CI), in this study we aimed to report CI conducted on two patients with OP in Iran. The Case: Patients were two women diagnosed with OP and bilateral sensorineural hearing loss (SNHL) who underwent CI in the right ear. Preoperative PTA showed a hearing threshold decrease of more than 100 dB in both patients. A standard cochleostomy was performed in one patient and endoscopic surgery in the other patient through the external ear canal. One month after surgery, the hearing threshold improved b y 60−90 dB in both patients. No facial nerve palsy or implant extrusion/migration was observed after surgery. Conclusion: Although technically challenging, CI seems to be a safe and effective method to improve the SNHL in patients with OP. The path for electrode insertion should be tailored to meet the conditions and anatomy of patients. Keywords: Cochlear implantation; osteopetrosis; sensorineural hearing loss
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 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".