Contralateral Labyrinthine Concussion in Temporal Bone Fractures
Bibliographic record
Abstract
In this case presentation, three cases of labyrinthine concussion in the opposite ears of patients who had unilateral traumatic temporal bone fractures with facial paralysis are reported. The first patient was a 30-year-old male who had a right-sided longitudinal temporal bone fracture and labyrinthine concussion showing pure sensorineural hearing loss with a characteristic notch of 60 dB at 4000 Hz on the left side. The second patient was a 42-year-old male who had a right-sided traumatic facial paralysis owing to a mixed-type temporal bone fracture and labyrinthine concussion, demonstrating pure sensorineural hearing loss reaching its peak of 50 dB at 4000 Hz on the left. The third patient was a 19-year-old male who had a left-sided mixed-type temporal bone fracture and a right labyrinthine concussion exhibiting pure sensorineural hearing loss reaching 60 dB at 4000 Hz. For their facial paralyses, all three patients underwent middle cranial fossa or combined approach operations. The labyrinthine concussion in these patients was managed expectantly. At their 1-year follow-up, it was observed that the hearing loss owing to labyrinthine concussion persisted. Although labyrinthine concussion is not a rare complication of head injuries, it has rarely been reported in the medical literature. The main symptoms of labyrinthine concussion are hearing loss, tinnitus, and dizziness. The diagnosis mainly relies on audiometric tests, which reveal characteristic tracings reminiscent of acoustic trauma.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".