Ectomesenchymal Chondromyxoid Tumour of the Dorsal Tongue Presenting with Impaired Speech
Bibliographic record
Abstract
Ectomesenchymal chondromyxoid tumours (ECTs) are rare mesenchymal soft tissue neoplasms that typically present as a slow-growing asymptomatic mass on the anterior dorsum of the tongue. Our patient presented with impaired speech articulation and pain associated with upper respiratory tract infections when the lesion on his dorsal tongue would swell, and he would accidentally bite down on it. Microscopically, ECTs appear as unencapsulated, well-circumscribed proliferations of uniform round to fusiform cells embedded within chondromyxoid matrices. Most cases of ECT have been detected in the third to the sixth decades of life, with no sex preference. ECT may cause a range of symptoms that negatively impact patients' quality of life, including pain, dysphagia, odynophagia, bleeding, and, in the case of our patient, impairment of speech. We provide a unique preoperative clinical photograph and case description that should help readers in recognizing this neoplasm. Considering the rarity of ECT presenting clinically as well as in the literature, we believe this report will add to our growing understanding of ECT and its management. We report a case of ECT presenting on the anterior dorsal tongue that was successfully surgically resected under local anesthesia with clear margins, accompanied by a review of the pertinent literature.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".