Desmoplastic Squamous Cell Carcinoma: Case Presentation and Literature Review
Bibliographic record
Abstract
BACKGROUND: Desmoplastic squamous cell carcinoma (DSCC) is a variant of squamous cell carcinoma (SCC) with aggressive histologic and clinical features. DSCC has a 6 to 10 times higher rate of both local recurrence and metastatic spread compared with well-differentiated SCC. Clinical estimation of tumor margins can grossly underestimate both the depth and the peripheral extent of the tumor. Surgery with intraoperative margin control has been recommended. In many cases, postoperative radiotherapy or prophylactic lymph node dissection may be required. CASE PRESENTATION: A 71-year-old man with a biopsy positive for DSCC involving the left postauricular area was treated with nine-stage Mohs micrographic surgery before the tumor margins were negative. CONCLUSION: There are minimal reports in the literature pertaining to the presentation and treatment of DSCC; therefore, definitive conclusions are difficult. The depth of tumor penetration and peripheral spread of the DSCC presented in this case, however, supports the need for aggressive surgical excision, preferably with intraoperative margin control. To maximize the chance of cure, physicians must be aware of the distinct clinical and histologic features of DSCC and the aggressive treatment required.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".