The Mini–Wise Pattern Nipple-Share Technique for Enhanced Nipple Reconstruction
Bibliographic record
Abstract
Nipple-areola complex reconstruction is a critical component of postmastectomy breast reconstruction, with a significant impact on patient satisfaction. Traditional techniques, such as flap-based methods and nipple grafting, can be limited by suboptimal long-term nipple projection, the lack of natural pigmentation, and the presence of surrounding scars. This article describes the mini-Wise pattern nipple-share technique, a modified surgical approach designed to address these challenges. Particularly suited for skin-sparing and areola-sparing mastectomies, this technique preserves native pigmentation and, for areola sparing, eliminates the need for postreconstruction tattooing. It avoids full-thickness incisions in hostile recipient milieus, including radiated skin and prepectoral alloplastic reconstructions. "Discarding nothing that could be useful," the mini-Wise pattern nipple-share technique not only results in an aesthetically pleasing donor site, but also maximizes available tissue by borrowing from traditional 3-dimensional concepts to create a sustainable projection of both the donor and recipient.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".