Gynecomastia: Evolving Paradigm of Management and Comparison of Techniques
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Since 1997, the authors have used a minimally invasive technique for the management of gynecomastia using ultrasound-assisted liposuction and the arthroscopic shaver to remove breast tissue through a remote incision. This technique has allowed for a consistent, refined, "unoperated" postoperative appearance in this patient population. This study analyzes the outcomes of this procedure and compares the procedure against established techniques. METHODS: A retrospective study was performed on all patients who underwent surgery for gynecomastia at the authors' institution between January of 1988 and October of 2007. A total of 227 patients were divided into four groups: group 1, open excision only (n = 45); group 2, open excision plus liposuction (n = 56); group 3, liposuction only (n = 50); and group 4, liposuction plus arthroscopic shaver (n = 76). Medical records and photographs were used to compare groups for complications and results. RESULTS: Complications using the liposuction plus arthroscopic shaver technique included seroma (n = 2), hematoma (n = 1), scar revision (n = 1), and skin buttonhole from the arthroscopic shaver (n = 1). There was no difference between groups in the overall incidence of complications (p < 0.20) or the need for reoperation (p < 0.325). Results were scored on a scale of 1 (poor) to 5 (excellent). Group 4 (liposuction plus arthroscopic shaver) had the overall highest mean score, with statistical significance between group 2 (open excision plus liposuction) and group 4 (p < 0.0001). CONCLUSION: Arthroscopic mastectomy for gynecomastia is a safe and effective technique, with excellent cosmetic results and an acceptable complication rate.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 it