Multicystic Facial Nerve Neurinoma: A Case Report
Bibliographic record
Abstract
Facial nerve neurinoma (FNN) can present as masses in the internal auditory canal or cerebellopontine angle and may mimic an acoustic neurinoma. A 44-year-old male presented with a huge facial schwannoma extending into both the middle cranial fossa and the cerebellopontine angle but without manifesting facial nerve palsy. Neurological examination on admission revealed no deficits except for speech disturbance. Magnetic resonance images (MRIs) showed a multicystic tumor extending into the middle cranial fossa and the cerebellopontine angle, with destruction of the petrous bone. The tumor was totally grossly removed. Histological examination identified schwannoma. Facial nerve palsy is one of the most typical symptoms in patients with facial schwannoma, but is not always manifested even if the tumor extends into both the middle cranial fossa and the cerebellopontine angle. They must be differentiated both clinically and radiologically from acoustic neurinomas. J Med Cases. 2015;6(8):350-352 doi: http://dx.doi.org/10.14740/jmc2241w
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) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".