Improvement After Hardware Removal in Post-Fusion Adult AIS: A Unique 35-Year Case Study Using Schroth-Based Physiotherapy and Bracing
Bibliographic record
Abstract
Background: Adult scoliosis following spinal fusion and subsequent hardware removal presents complex challenges, especially when deformity progresses in both the sagittal and coronal planes. Revision surgery is often recommended but it entails considerable risks. Conservative approaches, including Schroth-based physiotherapy and bracing, offer promising alternatives for select patients, particularly older adults with comorbidities or those who decline further surgery. Case Presentation: A woman with adolescent idiopathic scoliosis (diagnosed at age 13) underwent spinal fusion with Harrington rod instrumentation and costoplasty at age 24. She was de-instrumented two years later due to infection and developed progressive thoracic hyperkyphosis, coronal imbalance, and 12 cm loss of height over two decades. At age 47, she chose conservative management instead of revision surgery. Methods: She completed a 28-month program combining Schroth-based physiotherapy supervised by a certified therapist and part-time bracing. Outcomes included radiographs, inclinometry, spirometry, spinal-muscle ultrasound, height/posture measures, and SRS-22 and ODI scores. Results: Substantial clinical improvements were observed. Thoracic kyphosis decreased from 80° to 45° (44%) and the coronal thoracic curve was reduced from 48° to 32° (33%). Lumbar lordosis increased by 6°, standing height rose by 4 cm, and forced vital capacity improved by 900 mL (33%). The Oswestry Disability Index (ODI) score improved from 4% to 0%, and SRS-22 domains (pain, function, self-image, mental health, satisfaction) showed meaningful gains. The patient returned to full physical activity and avoided further surgery. Conclusion: This case highlights the potential of Schroth-based physiotherapy with bracing to reverse postural and functional decline in complex post-fusion scoliosis. It offers a viable non-surgical option when revision surgery poses a high risk or is declined and aligns with modern rehabilitative goals focused on long-term quality of life.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".