New Rhizotomy Procedure for Primary Spasmodic Torticollis
Bibliographic record
Abstract
OBJECTIVE: Spasmodic torticollis (ST) is an idiopathic neurologic disorder affecting the muscles of the neck. Surgery is a preferred treatment, when conservative treatments or Botulinum neurotoxin injections fail to relieve the symptoms. Our objective here is to report the outcome of a new surgical method for treating ST patients in our department. METHODS: The new procedure consists of rhizotomy of the spinal accessory nerve (SAN) and C1-C2 nerve roots, coagulation of the distal end of SAN (Group A). The results of this procedure were compared with a group of patients who underwent only rhizotomy of the SAN and anterior C1-C2 nerve roots (Group B). Clinical data were retrospectively collected from 39 patients with laterocollis and rotatory torticollis subtypes of ST from Jun 1, 2014 to Jun 1, 2015. The effect of the surgery was evaluated by the reduction in the Toronto Western Spasmodic Torticollis Rating Scale (TWSTRS) total scores preoperatively and postoperatively. The mean duration of the postoperative follow-up period was 2.57 years, ranging from 2 to 3 years. RESULTS: The mean preoperative TWSTRS score was 65.89 ± 3.55 and 65.80 ± 3.45 in Groups A and B, respectively. Six months after the surgery, the TWSTRS scores decreased to 40.00 ± 12.14 and 26.04 ± 11.77, respectively. There was a statistically significant improvement preoperatively and postoperatively in both groups (P < 0.05). The decrease in TWSTRS score of Group B was more significant than that of Group A (P < 0.05). The main complications included shoulder numbness, shoulder weakness, and hoarseness. CONCLUSIONS: The procedure in this study provides a new and effective surgical method for patients with ST. This procedure should be recommended if conservative therapy does not offer satisfactory relief of symptoms.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".