Single-stage Latissimus Dorsi Breast Reconstruction Using Spectrum Devices: Outcomes and Technique
Bibliographic record
Abstract
BACKGROUND: Latissimus dorsi (LD) flap is a workhorse flap in breast reconstruction. Despite many advantages, the primary criticism of this flap is the requirement of a second surgery to exchange expansion devices for permanent implants. This study reports a single-stage reconstruction and outcomes wherein Spectrum devices (Mentor, Irving, TX), which serve as expanders and permanent implants, are used, and expansion ports are removed under local anesthetic. METHODS: A retrospective chart review of all patients undergoing LD flap reconstruction with Spectrum device by a single surgeon at a single center during a 10-year period was performed. All patients, unilateral/bilateral, immediate/delayed were included. Details of implants, surgical procedure(s), and follow-up visits were assessed for patient outcomes. RESULTS: In total, 41 patients and 56 breasts were included. Of the total patients, 58.5% retained the Spectrum device and had the expansion port removed under local anesthetic. An estimated 6 major complications occurred (14.6%), requiring return to the operating room: 3 patients required a capsulectomy, 1 a capsulotomy/implant repositioning, one had loss of implant (infection), and 1 had venous congestion of the flap. Eleven minor complications occurred (26.8%): 5 seromas (3 at the breast site, 2 at the donor site), 3 delayed wound healings (2 at donor site, 1 at breast site), 1 mastectomy flap necrosis, 2 infections (1 at each breast site, 1 at donor site). CONCLUSIONS: This study provides details of a single-stage LD flap with Spectrum device breast reconstruction that can be considered when performing an LD reconstruction. This technique is efficient and safe with comparable complication profile.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".