Breast Reconstruction following Nipple-Sparing Mastectomy
Bibliographic record
Abstract
BACKGROUND: Nipple-sparing mastectomy is a controversial option for breast cancer treatment due to locoregional recurrence and distant metastasis. In addition to these oncologic factors, technical factors such as ideal incision type or reconstructive options are also debatable. This systematic review examines current trends with nipple-sparing mastectomy, including selection criteria, locoregional and distant metastasis rates, incision choice, and reconstructive options. METHODS: Systematic electronic searches were performed in the PubMed and Ovid databases using search terms for studies reporting outcomes following nipple-sparing mastectomy and all forms of reconstruction. Studies between 1970 and 2013 were reviewed. Pooled descriptive statistics with separate analyses for incision type and reconstructive method were performed. RESULTS: Forty-eight studies met inclusion criteria, yielding 6615 nipple-sparing mastectomies for analysis. The overall pooled complication rate was 22 percent, the nipple necrosis rate was 7 percent, the locoregional recurrence rate was 1.8 percent, and the distant metastasis rate was 2.2 percent. Comparing combined patient cohorts for two-stage expander to implant, one-stage direct to implant, and autologous reconstruction demonstrated overall complication rates of 52.8, 16.7, and 23.7 percent and nipple necrosis rates of 4.5, 4.1, and 17.3 percent, respectively. Incision types were divided into five categories: radial, periareolar/circumareolar, inframammary, mastopexy, and transareolar, with nipple necrosis rates of 8.83, 17.81, 9.09, 4.76, and 81.82 percent, respectively CONCLUSIONS: Nipple-sparing mastectomy appears to be an oncologically safe option for properly selected patients, with low rates of locoregional and distant metastasis. Overall complication and nipple necrosis rates are affected by incision location and reconstruction method. Randomized controlled trials are warranted to determine best incision and reconstructive methods. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, IV.
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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 | 0.004 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".