Immediate Prepectoral Tissue Expander Breast Reconstruction Without Acellular Dermal Matrix Is Equally Safe Following Skin-Sparing and Nipple-Sparing Mastectomy
Bibliographic record
Abstract
BACKGROUND: Prepectoral breast reconstruction has become increasingly popular over the last decade. There is a paucity of data surrounding the impact of mastectomy type on clinical outcomes when comparing prepectoral immediate breast reconstruction without acellular dermal matrix (ADM) using tissue expansion. The purpose of this study was to compare 90-day reconstructive surgical outcomes in immediate prepectoral tissue expander reconstruction between patients with nipple-sparing mastectomy (NSM) and skin-sparing mastectomy (SSM). METHODS: A retrospective review of patient records was carried out on all patients undergoing NSM or SSM with immediate prepectoral tissue expander reconstruction without ADM, in a single institution, from June 2020 to December 2021. All complications were recorded, categorized, and statistically analyzed for significance. RESULTS: Seventy-nine patients (97 breasts) were studied. The mean age was 51 years old (range, 31-77). Twenty-two patients suffered complications recorded in 22 breasts (22.7%). There was no statistically significant difference in the total complications between the NSM (25.7%) and SSM (21.0%) groups or in the incidence of all major and minor complications. CONCLUSIONS: Breast reconstruction using tissue expanders without ADM has similar reconstructive outcomes in both NSM and SSM. There were no significant differences in complication rates between either groups. Breast reconstruction without ADM can confer institutional cost savings without compromising safety.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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".