A Case of Sinonasal Undifferentiated Carcinoma with Brain Metastases
Bibliographic record
Abstract
Sinonasal undifferentiated carcinoma (SNUC) is a rare aggressive neoplasm arising in the nasal cavity and paranasal sinuses. We report a unique case of an 80-year-old man who presented with a locally advanced SNUC involving the ethmoid, sphenoid, and maxillary sinuses and bilateral lymph nodes, clinical T4N2M0. Given his age and the initial extent of his primary tumour, he was treated with neoadjuvant chemotherapy followed by chemoradiation with a split course of 50 Gray (Gy) in 40 fractions delivered twice a day. Four months after his treatments, he developed a recurrence at the left lower eyelid and left frontal sinus, intrabdominal metastases, and a left cerebellar metastasis. A single fraction of 22 Gy was delivered to the cerebellar lesion using stereotactic radiosurgery. He survived 17 months from the initial presentation. We review the available literature regarding treatment of brain metastases and use of hyperfractionated radiotherapy in this rare head and neck cancer.
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 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 | 0.000 | 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) | 0.001 | 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".