Recurrent Spontaneous Spinal Cerebrospinal Fluid Leak Associated with “Nude Nerve Root” Syndrome: Case Report
Bibliographic record
Abstract
OBJECTIVE AND IMPORTANCE: Spontaneous spinal cerebrospinal fluid (CSF) leaks have been noted occasionally at multiple sites in the same patient, but recurrent spontaneous spinal CSF leaks have not been documented. We describe a patient with a recurrent CSF leak who was found at surgery to have an absence of the entire nerve root sleeve at multiple thoracic levels. CLINICAL PRESENTATION: A 29-year-old woman bodybuilder noted an excruciating orthostatic headache associated with nausea. The neurological examination was unremarkable, and a magnetic resonance imaging examination showed the typical changes of intracranial hypotension. Computed tomographic myelography showed an extensive bilateral lower cervical CSF leak. INTERVENTION: The patient underwent bilateral lower cervical nerve root explorations, and several small dural holes were found. The CSF leaks were repaired, but 3 months later, computed tomographic myelography showed a new CSF leak in the midthoracic area. A thoracic laminectomy was performed, and several nerve roots were found to be completely devoid of dura. After the CSF leaks were repaired, there was significant improvement in her headaches. CONCLUSION: A recurrent spontaneous spinal CSF leak may occur in patients with intracranial hypotension at a site previously documented not to be associated with a CSF leak. Absent nerve root sleeves may be found in patients with spontaneous spinal CSF leaks ("nude nerve root" syndrome), and these patients may be at increased risk of developing a recurrent CSF leak.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| 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".