Deep Cerebral Venous Thrombosis: An Illustrative Case with Reversible Diencephalic Dysfunction
Bibliographic record
Abstract
BACKGROUND: Isolated thrombosis of the deep cerebral veins is rare and its diagnosis can be difficult. Mortality is often high and little is known about the long-term prognosis. CASE REPORT: We report a 24-year-old woman with akinetic mutism and extensive bilateral thalamic lesions. CT and MRI allowed early diagnosis by demonstrating thrombosis within the internal cerebral veins, without the need for angiography. Heparin treatment was used safely despite the presence of thalamic and intraventricular hemorrhage. After five weeks, the patient recovered rapidly and remains well at 18 months. Serial MRI showed dramatic resolution of the imaging abnormalities. CONCLUSIONS: The clinical features and characteristic neuroimaging appearance of deep cerebral venous thrombosis should be recognized by physicians caring for stroke patients. Deep cerebral venous thrombosis can produce extensive venous congestion and vasogenic edema without early infarction. Excellent clinical recovery is possible even after severe and prolonged neurological deficits.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".