Aneurysmal Bone Cyst of the Temporal Bone Presenting with Headache and Partial Facial Palsy
Bibliographic record
Abstract
Background Aneurysmal bone cysts (ABCs) are benign bony lesions that rarely affect the skull base. Very few cases of temporal bone ABCs have been reported. We describe the first case of a temporal bone ABC that was thought to be consistent with a meningioma based on preoperative magnetic resonance imaging (MRI) findings. Clinical Presentation An otherwise healthy 23-year-old woman presented with a pulsatile noise in her left ear and a 4-week history of throbbing headache with nausea. There was no associated emesis, visual or auditory changes, or other neurologic features. Neurologic examination revealed a left lower motor neuron facial paresis. Computed tomography and MRI studies demonstrated a large lesion in the left middle cranial fossa skull base with erosion of the petrous temporal bone. Based on the presence of a "dural tail" on preoperative contrast-enhanced T1-weighted imaging, the lesion was interpreted to likely be consistent with a meningioma. An orbitozygomatic approach was utilized for surgical excision. Histopathologic evaluation was consistent with an ABC. Conclusion Postoperatively the patient had improvement in the lower motor neuron facial paresis. It is important to consider ABC in the differential diagnosis of intracranial lesions accompanied by the dural tail sign on MRI.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".