Cervical Neurofibromatosis With Tetraplegia
Bibliographic record
Abstract
In Brief Study Design. A case report. Objective. To describe a new method called “cervical suspensory traction” and to report its effect in the treatment of severe cervical kyphotic deformity with neurofibromatosis-1 (NF-1) in a teenager. Summary of Background Data. Cervical kyphotic deformity exceeding 100° due to NF-1 is a challenging surgical problem. Surgery alone may result in poor corrective efficiency, too long range of fusion, sacrificing more mobile segments. Methods. An 18-year-old teenager with NF-1 presented with tetraplegia. Radiographs of the cervical spine revealed that kyphotic deformity of C3–C6 was 125°. Spinal release surgery was undertaken in advance, followed by cervical suspensory traction and subsequent posterior instrumentation and fusion surgery. Results. During a 4-year follow-up, the patient made a full neurological recovery. Cervical curve of C3–C6 was improved with a residual kyphosis of 30°. Stable bone fusion was obtained in the lower cervical spine. No complication had occurred. Conclusion. Cervical suspensory traction is a viable and safe adjunct technique for applying gradual and sustained effort to maximize postoperative correction in the treatment of NF-1 patients with severely rigid and large curves. This report should contribute to expanding the alternative method for the staged treatment strategy to complex abnormalities. The authors describe a modified method named “cervical suspensory traction.” A teenager with cervical kyphosis (125°) was treated with staged strategy and had a full neurological recovery. Cervical suspensory traction is an alternative method in the treatment of neurofibromatosis-1 patients with kyphosis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 teacher head, 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".