Case Report: Rare meets rare—miliary prostate cancer brain metastasis
Bibliographic record
Abstract
Introduction Miliary brain metastasis (MM), consisting of innumerable miliary lesions in perivascular location, is a rare disease entity with an estimated incidence of 3.8% among patients with brain metastasis (BM). Similarly, with an approximated incidence of less than 2%, prostate cancer (PC)-related BM is also an infrequent presentation; however, it is more common in patients with neuroendocrine differentiation. To the best of our knowledge, only one other case of MM secondary to PC has been reported. This case report discusses two additional cases of PC-related MM, a condition otherwise predominantly observed secondary to pulmonary adenocarcinoma. Case presentations The first case describes a patient in his 60s known for metastatic PC with suspected neuroendocrine differentiation and presenting with musculoskeletal pain, lethargy, and status epilepticus. Contrast-enhanced computer tomography (CT) angiogram and magnetic resonance imaging (MRI) of the head and neck revealed diffuse and innumerable foci in the cerebral hemispheres, brainstem, and cerebellum. The second case discusses a similarly aged male patient with biopsy-proven de novo mixed adenocarcinoma/small cell neuroendocrine PC and with symptoms consisting of significant weakness, aphasia, confusion, and decreased level of consciousness. Non-contrast-enhanced CT imaging of the brain did not reveal MM; however, a follow-up contrast-enhanced MRI detailed miliary lesions in the cortex, white matter, deep gray nuclei, brainstem, and cerebellum. Both patients expired within a couple of weeks from admission. Conclusion Given its rarity, notably in patients with PC, there are no specific and established diagnostic criteria for MM, a condition with ominous prognosis seemingly related to neuroendocrine differentiation in men with PC.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.009 | 0.004 |
| 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".