Immediate Post-Mastectomy Reconstruction with Prosthesis Using the Total Posterior Pedicle Mammaplasty Design
Bibliographic record
Abstract
The author, who has already described the "Total Posterior Pedicle Mammaplasty", presents a simple and rational way for immediate breast reconstruction using the same cutaneous resection principles as in the "Total Posterior Pedicle Mammaplasty".The surgeon will first draw and execute the incisions by following the rule of cutaneous resection taking care of the ptosis degree as in the "Moufarrege Total Posterior Pedicle Mammaplasty".So, the importance of resection will be directly proportionate to the angle of the arms surrounding the skin to be respected, spreading from 90 degrees in the non-ptotic breasts to 180 degrees in very ptotic breasts.The large exposition of the gland allowed by the cutaneous undermining and the total mastectomy will ensure an easy access to the axilla to perform the node surgery stage, as well as to create the retro-pectoral pocket for the installation of the prosthesis.The skin closure performed with an inverted T is similar to that of the cosmetic mammaplasty lifting.The difference with the Wise incision is that our horizontal section of the incision will be much shorter, that is to stay three to seven centimeters.Furthermore, this reconstruction, when well indicated, leads to very nice results at very low costs in terms of pain, morbidity and financial charges.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".