Treatment of Facial Lentigines in Peutz–Jeghers Syndrome With an Intense Pulsed Light Source
Bibliographic record
Abstract
BACKGROUND: Peutz-Jeghers syndrome is a hereditary condition characterized by distinctive mucocutaneous lentigines and intestinal hamartomatous polyposis. The cutaneous lesions may be cosmetically disfiguring and frequently present a therapeutic challenge. OBJECTIVE: To determine if intense pulsed light (IPL) is effective in treating facial lentigines in Peutz-Jeghers syndrome. METHODS: The IPL, utilizing a 590 nm cutoff filter, was used to treat facial lentigines in a 10-year-old girl with Peutz-Jeghers syndrome. RESULTS: A series of 12 treatment sessions, each to different facial regions, resulted in complete clearance of lentigines in the treated areas. Most of the lentigines resolved after a single treatment, with a few areas requiring a second treatment. CONCLUSION: In this case, treatment with IPL resulted in dramatic improvement of cosmetically disfiguring lentigines. To our knowledge, this is the first report of using IPL in Peutz-Jeghers syndrome.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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 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".