Bibliographic record
Abstract
OBJECTIVE: To describe the novel presentation, implications, and endoscopic management of a congenital round window cochleocele. PATIENT: A 16-month old girl with profound hearing loss from bilateral incomplete partition type 1 (IP1) anomaly of the cochlea plus left-sided cochlear nerve aplasia and cochleocele. INTERVENTION: Anomalies were identified with computed tomographic scanning and magnetic resonance imaging during cochlear implant candidacy assessment. While under general anesthesia for right-sided cochlear implantation, the cochleocele was removed and packed with temporalis fascia using transcanal endoscopic ear surgery. The endoscope was held by an assistant while the surgeon packed the round window using a two-handed technique to counter the gush of cerebrospinal fluid. RESULTS: The child made an uneventful recovery with no cerebrospinal fluid leak or meningitis. CONCLUSIONS: Cochleocele can protrude through the round window of a cochlea with incomplete partition type 1 anomaly. An increased risk of meningitis secondary to acute otitis media is expected given the known risk from cochleocele arising through a stapes footplate fistula. Care should be taken to check for the presence of a cochleocele in hearing loss from congenital malformations involving the basal turn of the cochlea on imaging and also at the time of cochlear implant surgery. Repair should be considered at the first opportunity to prevent meningitis. If early cochlear implant surgery is not feasible or appropriate (as, for example, with cochlear nerve aplasia), transcanal endoscopic ear surgery provides good access for a low-morbidity approach.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".