Microcystic Adnexal Carcinoma Involving a Large Portion of the Face: When Is Surgery Not Reasonable?
Bibliographic record
Abstract
BACKGROUND: We report a case of microcystic adnexal carcinoma (MAC) involving a large portion of the face, one of the largest of any MAC reported thus far in this area, and review the literature regarding the nature of the tumor and available treatments. We also review all of the reported cases of metastases and the possible role of radiation in the etiopathogenesis of this tumor. OBJECTIVE: To review the literature about what is known about therapy for MAC and what options are available to patients who have this disease. MATERIALS AND METHODS: Case report and review of the literature. RESULTS: Of the 274 cases of MAC thus far reported, there are 6 cases of metastases, only 1 of which resulted in death. CONCLUSION: Mohs surgery should be the treatment of choice for this tumor; however, when extirpation entails sufficiently large morbidity, given the low rate of metastases and mortality, observation is a reasonable alternative.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".