A new option of reconstruction after extensive chest wall resection
Bibliographic record
Abstract
OBJECTIVE: Chest wall reconstruction plays an important role in the outcomes of chest wall resection. However, there being a huge variety of materials at disposable, the best option has not yet been well defined. The Vitagraft® is a synthetic and absorbable material, that works as an osteoinduction and osteoconduction for bone regeneration. It consists of a β-phase Tricalcium Phosphate Ceramic (β-TCP) and the Polylactic Glycolic Acid Polymer (PLGA). Therefore, this study intends to assess the safety of Vitagraft® use in the chest wall. METHODS: A prospective study, in which the patient's chest was reconstructed with Vitagraft®. Each patient was followed after the procedure for at least three months. The following variables were considered: KPS, ECOG, preoperative treatment, defect size, myocutaneous flap, the time between surgeries, complications, and mortality. RESULTS: Eight resections were performed due to tumor findings. One reconstruction was a treatment for sternal cleft, another for Poland's syndrome, and finally as a consequence of late sternal dehiscence. Primary closure was performed in 63.6 % of the patients. Vitagraft® was used in association with mesh in eight cases. Reoperation was required in two cases, and prosthesis removal for one of them. Respiratory failure and major systemic complications were not evidenced. CONCLUSION: In the present study, the first to assess Vitagraft® in chest wall reconstruction, the second operation was necessary for 28 %, and removal was mandatory for 14 %. Until now, chest postoperative tomography has been showing good prosthesis biocompatibility. The authors need further details about the ossification time especially relating to the size of the resection.
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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 | 0.000 | 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) | 0.002 | 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".