Klippel-Feil syndrome associated with a craniocervico-thoracic dermoid cyst
Bibliographic record
Abstract
BACKGROUND: Uncommonly, Klippel-Feil syndrome (KFS) has been associated with intracranial or spinal tumors, most frequently dermoid or epidermoid cysts. Although the associated dermoid cyst (DC) is usually located in the posterior fossa, isolated upper cervical DC has been reported. Extension from the posterior fossa to the upper cervical spine (C2) has been reported once. We report a rare case of KFS in association with a posterior fossa DC that extended down to the upper thoracic spine and review the current literature. CASE DESCRIPTION: A 47-year-old female with presented cervical myelopathy related to a cranio-cervico-thoracic DC in association with KPS-related cervicothoracic fusion (C2-T6) and thoracic kyphosis. The patient underwent complete tumor resection following sub-occipital craniectomy and C1-C4 cervical laminectomy. The patient exhibited complete resolution of symptoms with no tumor recurrence and no deformity at 6-year follow-up. CONCLUSION: DC should be added to the list of congenital central nervous system abnormalities, which should be sought in patients with KFS. Therefore, the presence of a cystic lesion in the posterior fossa, the craniocervical junction or the anterior cervical spine should suggest the possibility of a DC in patients with KFS. In cases of cranio-cervical DC, the tumor may extend quite far down the spinal column (reaching the thoracic spine), as demonstrated in the present case.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".