Central Nervous System Venous Thrombosis: The Role of CT & MRI. A Review
Bibliographic record
Abstract
The clinical presentation of central nervous system venous thrombosis (CNSVT) is variable and non specific. Advances in CT and MRI technology have redefined the role of these 2 modalities in assessing suspected CNSVT. T1, T2, FLAIR and DWI/ADC (diffusion weighted imaging/apparent diffusion coefficient) MRI (magnetic resonance imaging) sequences together with a gadolinium enhanced MRV (magnetic resonance venography) would the imaging of first choice in suspected venous thrombosis of the central nervous system. Where there are still problems with identifying the thrombus and this is crucial to the management, a CTV (computed tomographic venography) should be performed. Catheter angiography would be used as a last resort or associated with direct thrombolysis. There may be circumstances where CT may be used as the first choice. There may be contraindication to MRI such as pacemakers, aneurysms clips etc.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".