Von Hippel–Lindau Disease-Associated Endolymphatic Sac Tumours: Seven Cases and Genotype–Phenotype Features
Bibliographic record
Abstract
Von Hippel–Lindau disease-associated endolymphatic sac tumors (VHL-associated ELSTs) present diagnostic challenges due to their rarity and nonspecific symptoms. This study describes clinical, pathological and genotypic features to guide treatment. We retrospectively analyzed seven patients with VHL-associated ELSTs. The mean age of otologic symptom [hearing loss (100%) and facial nerve paralysis (85.71%)] onset was 22.43 ± 8.68 years (range: 10–33). Surgical management included trans-labyrinthine and subtotal temporal bone resection approaches. Among three patients with severe preoperative facial nerve dysfunction, two underwent great auricular nerve grafting improved to House–Brackmann grade IV, while one receiving hypoglossal–facial nerve anastomosis reached grade V. Genetic testing identified pathogenic VHL gene missense mutations in three patients. Two female patients demonstrated disease progression during pregnancy. Literature analysis revealed exon-specific patterns: Exon 1 mutations correlated with cerebellar/spinal hemangioblastomas in female patients, while Exon 3 mutations were associated with multisystem tumors. These findings support that VHL-associated ELSTs manifest early with otologic symptoms and demonstrate exon-specific phenotypic patterns. Optimal management requires complete surgical resection, genetic diagnosis, and a multidisciplinary approach to address these complex tumors and achieve favorable outcomes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".