Oncologic Outcomes of a Novel Mapping Biopsy Technique Before Surgical Excision in the Management of Extramammary Paget Disease
Bibliographic record
Abstract
Objective To analyze oncologic outcomes of patients with extramammary Paget disease (EMPD) undergoing a novel mapping biopsy before tumor excision (WLE). Methods We analyzed 19 consecutive patients with EMPD treated with biopsy and/or surgical excision at Moffitt Cancer Center from 2013 to 2021. Biopsy technique, patient demographics, pathology, and oncologic outcomes were analyzed. Results In total, 19 patients were included in the analysis. Median age at diagnosis was 72. No patients were diagnosed with secondary malignancy during mandatory workup. Of the 17 patients receiving novel mapping biopsy, 8/17 had at least one positive core biopsy site, with a mean of 7% positivity of the total core sites (4/60). Mapping biopsy positive sites helped shape perimeters for wide local excision (WLE) for patients opting for surgical treatment. Although an extensive mapping biopsy was performed, WLE margins were positive in 11/17 patients. Although positive pathologic margins following surgical excision were prominent, only one patient experienced recurrence of EMPD during a median follow-up period of 38 months. Conclusions We have demonstrated a standardized mapping biopsy before surgical excision in the management of EMPD in men. Despite extensive mapping biopsies, positive surgical margin rates are high, and this may reflect the occult nature of the disease process. Close follow-up is warranted in patients regardless of margin status, but those with positive surgical margins may benefit from more aggressive regimens.
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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 | 0.001 | 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 | 0.000 |
| 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 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".