Radiologic Parameters Can Affect the Preoperative Decision Making of Three-Column Spinal Osteotomies in the Treatment of Severe and Stiff Kyphoscoliosis
Bibliographic record
Abstract
STUDY DESIGN: Retrospective analysis. OBJECTIVE: To evaluate whether radiologic parameters affect spine surgeon's osteotomy choice in patients with severe and stiff thoracic kyphoscoliosis. SUMMARY OF BACKGROUND DATA: Three-column osteotomies were developed to address severe and stiff kyphoscoliosis. Current choice on osteotomies is based on the morphology of kyphosis, global balance, and locations of the main curvature; however, quantitative basis for decision making is still lacking. METHODS: Sixty patients with severe and stiff thoracic kyphoscoliosis who underwent three-column osteotomy in the thoracic spine were classified into four groups according to the grade of osteotomy. The radiologic parameters including maximum scoliosis, maximum kyphosis, deformity angular ratio (DAR; maximum Cobb angle divided by number of vertebrae involved), apical vertebral translation, coronal balance, and sagittal balance were measured and compared. Correlation analysis between the radiologic parameters and the osteotomy grades was conducted. Perioperative and long-term complications were reviewed. RESULTS: The overall scoliosis was corrected from a mean preoperative Cobb angle of 129.1° (range, 90-174°) to 56.4° (range, 14-100°), and overall kyphosis was corrected from 124.3° (range, 64-180°) to 54.3° (range, 11-95°). As the osteotomy grades increased, the mean preoperative maximum kyphosis increased from 104.5° to 151.8° and the mean sagittal DAR (S-DAR) increased from 16.4 to 24.9. Statistically significant between-group differences were found for preoperative maximum kyphosis (P = 0.001), S-DAR (P = 0.045), and total DAR (P = 0.033). Significant correlations were observed between the preoperative maximum kyphosis and the osteotomy grade (r = 0.454, P < 0.001). The S-DAR significantly correlated with the osteotomy grade (r = 0.322, P = 0.012). CONCLUSION: The preoperative maximum kyphosis and the S-DAR may affect the surgeon's decision on the grade of osteotomies. This may enrich the theoretical basis on preoperative planning and help with patient counseling. LEVEL OF EVIDENCE: 4.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".