Universal Trichloroacetic Acid Peel Technique for Light and Dark Skin
Bibliographic record
Abstract
IMPORTANCE: Despite their great potential, medium and deep trichloroacetic acid peels are underused in light-skinned patients and are rarely used in darker-skinned patients because of the widespread fear of pigmentary complications and scarring. This concern has led many physicians to opt for the use of lighter types of peels (glycolic acid peel, Jessner peel, etc) and different lasers and intense light technologies. Trichloroacetic acid peels have been described in numerous publications. However, no study to date has described the precise technique and the practical pearls of a successful trichloroacetic acid peel approach in a clear, detailed, and reproducible manner. OBJECTIVES: To clarify a practical approach to a universal trichloroacetic acid peel and to offer novice and experienced facial plastic surgeons an organized, easy, and safe technique for medium and deep trichloroacetic acid peels. DESIGN, SETTING, AND PARTICIPANTS: This study was a case series of universal trichloroacetic acid peels in an academic setting. The study dates were January 1, 1996, to November 1, 2015. MAIN OUTCOMES AND METHODS: This article discusses the preoperative evaluation for a chemical peel, a previously published genetico-racial skin classification, and the trichloroacetic acid peel technique, which aims at standardizing and controlling the application of the acid to improve results and lessen complications. The "strip" technique is described, which increases the physician's control over the peel depth. RESULTS: A total of 923 trichloroacetic acid peels in 803 female patients (87.0%) and 120 male patients (13.0%) were reviewed (mean age, 41.59 years). The follow-up period ranged from 6 months to 13 years (mean, 13 months). This case series revealed a low incidence of complications, including 54 patients (5.9%) with persistent hyperpigmentation, 3 patients (0.3%) with mild telangiectasia, 2 patients (0.2%) with acute herpesvirus infection, 2 patients (0.2%) with bacterial Staphylococcus infection, and 1 patient (0.1%) with hypopigmentation. CONCLUSIONS AND RELEVANCE: When properly applied, trichloroacetic acid peels are efficient and safe for light and dark skin. The technique can be an easily implementable addition to a physician's cosmetic practice. LEVEL OF EVIDENCE: 4.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".