Truncal‐based perforator flaps for autologous breast reconstruction: A review of 975 flaps and their clinical application
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: When autologous breast reconstruction is desired and deep inferior epigastric artery perforator (DIEP) flap is inadequate or unavailable, other perforator flaps in the truncal region should not be disregarded. This study aimed to review all truncal-based perforator flaps used for autologous breast reconstruction to identify clinical indications and outcomes of alternate perforator flaps. METHODS: From 2013 to 2018, patients undergoing truncal-based perforator flap breast reconstruction were reviewed and data recorded for; indications, pre-operative and intra-operative treatment decisions, flap failures, take-backs, and revisions. Compared to the gold standard of the DIEP flap, alternate truncal-based flaps were evaluated for their reconstructive merit and application. RESULTS: A total of 975 perforator flaps were harvested circumferentially around the lower trunk. As an alternative or adjunct to the DIEP flap (n = 633, 65%), perforator flaps were harvested based on the superficial inferior epigastric, the deep and superficial circumflex iliac arteries, the intercostal, and lumbar arteries (n = 342, 35%). Overlapping vascular territories facilitate the safe harvest of these alternate flaps with 0.8% of flaps requiring take back (n = 8) and 0.2% flap failure rate (n = 2). There was no difference in peri-operative outcomes between anterior abdominal and alternate truncal-based flaps (p > .05). CONCLUSIONS: Circumferential harvest of alternate truncal flaps is an appropriate option for autologous reconstruction with comparable peri-operative and long-term outcomes as compared to flaps from the anterior abdomen.
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.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it