First Case of Sternum Replacement with a Bioceramic Prosthesis after Radio-Induced Sarcoma
Bibliographic record
Abstract
Objectives: To date, no “gold standard” technique has been developed for sternum replacement in cases of radioinduced sarcoma, which is a rare and aggressive disease. Current techniques rely on metallic prostheses, meshes, or bone grafts—procedures that that are associated with several complications. We therefore tried a new solution that might simplify and optimize this surgery. Methods: We used a porous alumina ceramic prosthesis (Ceramil: I.CERAM, Limoges, France) that has several interesting characteristics, such as osseointegration, biocompatibility, radiolucency, and high mechanical strength. Results: We report the first case of sternal replacement surgery involving the implantation of a ceramic prosthesis after radio-induced sternal sarcoma. In 2005, a 54-year-old woman was diagnosed with local breast cancer for which she underwent all appropriate treatment. Ten years later, she developed radio-induced sarcoma of the sternum. A complete sternal replacement was performed on 24 April 2015, with no postoperative complications. Imaging by 18F-flurodeoxyglucose positron-emission tomography–computed tomography performed 26 months after the surgery showed no local recurrence. The patient seems to have fully recovered and has resumed normal activity. Conclusions: This new technique is promising. For the first time, we highlight the feasibility, safety, and efficacy of sternal replacement using a porous alumina ceramic prosthesis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| 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".