Uncommon Case of Brain Metastasis in a Patient with a History of Heavy Smoking
Bibliographic record
Abstract
Primary sarcomas of the aorta are extremely uncommon. Depending on histomorphology and immunohistochemical pattern, intimal sarcomas can show angiosarcomatous differentiation. Here, we describe the case of a 60-year-old woman with a primary intimal sarcoma of the aortic arch and signs of cerebral metastatic disease as the initial manifestation. After the patient experienced the onset of severe headaches, ataxia, and left-sided weakness, magnetic resonance imaging showed several brain lesions. Histologic assessment of a brain biopsy specimen revealed a malignant tumour composed of large pleomorphic cells that were positive for pancytokeratin and CD10. Radiation to the brain did not significantly improve the patient's symptoms, and cranial computed tomography (ct) imaging revealed several metastases, indicating lack of response. Because of the patient's smoking history, the presence of central nervous system and skeletal metastases on combined positron-emission tomography and ct imaging, and the focal pan-cytokeratin positivity of the tumour, carcinoma of the lung was favoured as the primary tumour. Despite chemotherapy with cisplatin and etoposide, the patient's neurologic symptoms and general condition deteriorated rapidly, and she died within a few days. At autopsy, an undifferentiated intimal sarcoma of the aortic arch was diagnosed. The primary tumour in the aorta consisted of large pleomorphic cells. Immunohistochemical analysis of the aortic tumour and brain metastases demonstrated diffuse positivity for vimentin and p53 and focal S-100 staining. In summary, we report a challenging case of advanced intimal sarcoma of the aortic arch with brain and bone metastases at initial presentation. Our report demonstrates the difficulties in diagnosing and treating this disease, and the need for multicentre studies to accrue more patients for investigations of optimal therapy.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".