Topical 5% Imiquimod in the Treatment of Lentigo Maligna
Bibliographic record
Abstract
BACKGROUND: Standard treatment for lentigo maligna (LM) is surgical excision with 5 to 10 mm margins. This can be cosmetically disfiguring. Imiquimod locally induces Toll-like receptors to release cytokines that destroy neoplastic melanocytes. OBJECTIVE: The off-label use of topical 5% imiquimod cream may provide an alternative to surgery. This study reviews the use of imiquimod to treat LM. METHODS: A 5-year retrospective and prospective chart analysis was conducted. Pretreatment biopsies confirmed the diagnosis. Treatment was individualized for each patient. Posttreatment biopsies and dermoscopy determined clearance of LM. RESULTS: Twenty-seven patients were reviewed. There were 20 responders (74.1%) and 7 failures. The mean tumor size (area of an ellipse) was 6.69 cm2, and the mean treatment duration was 17.68 weeks. Neither the size of the tumor (p = .86) nor treatment duration (p = .18) was related to resolution of the lesion. CONCLUSION: Imiquimod is an effective treatment for LM that provides patients with a cosmetically favorable outcome when standard surgery is not an option.
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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 | 0.001 |
| 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 | 0.000 |
| 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 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".