Early Experiences With Video-Assisted Thoracoscopic Surgery: Our First 70 Cases
Bibliographic record
Abstract
STUDY DESIGN: Prospective consecutive series. OBJECTIVE: Analysis of the results and outcomes of patients treated with video-assisted thoracoscopic surgery for spinal pathology. SUMMARY OF BACKGROUND DATA: Video-assisted thoracoscopic surgery is an alternative to open thoracotomy. It has been suggested that the learning curve is substantial. The authors present their early experience in treating a variety of spinal pathologies with this technique. METHODS: Seventy cases were available at the 2-year follow-up. Video-assisted thoracoscopic surgery with the goal of anterior spinal release and fusion was carried out on patients with the following diagnoses: idiopathic scoliosis, neuromuscular spinal deformity, Scheuermann kyphosis, congenital and infantile scoliosis, neurofibromatosis, Marfan syndrome, postradiation scoliosis, and repair of pseudarthrosis. Three patients had excision of the first rib to treat thoracic outlet syndrome. Two patients had excision of intrathoracic neurofibroma and a benign rib tumor. One had anterior fusion following thoracic spine fracture-dislocation. RESULTS: The average operative time for the thoracoscopic anterior release with discectomy and fusion procedure was 256 minutes (range 150-405 minutes). The average number of discs excised was 8 (range 4-11 discs). The average operative time per disc was 32.5 minutes (range 20-45 minutes). The average blood loss during the thoracoscopic anterior release with diskectomy and fusion was 285 mL (range 150-405 mL). Final postoperative scoliosis and kyphosis corrections were 68% (range 41-91%) and 90% (range 47-100%), respectively. Complications related to thoracoscopy occurred in 3 patients. All deformity patients had evidence of anterior fusion radiographically. CONCLUSION: Video-assisted thoracoscopic surgery provides a safe and effective alternative to open thoracotomy in the treatment of thoracic pediatric spinal deformities. The procedure remains time consuming.
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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 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".