Detection of important venous collaterals by computed tomography venogram in multisutural synostosis
Bibliographic record
Abstract
The authors describe the novel use of computed tomography (CT) venography in the preoperative evaluation of a child with Crouzon syndrome who was being considered for Chiari decompression. This 18-month-old girl presented with hydrocephalus (treated with a ventriculoperitoneal shunt) and persistent symptomatic Chiari malformation and associated syrinx. A CT venogram was obtained because of the well-described relationship between multisutural craniosynostosis and abnormal intracranial-to-extracranial venous drainage. The CT venogram showed widely dilated vertebral and paravertebral veins located in the paraspinous muscles of the craniocervical junction. Because of the risk of massive intraoperative blood loss and/or occlusion of important collateral draining veins leading to intracranial venous hypertension and intractably raised intracranial pressure, the planned posterior fossa decompression was not performed. Computed tomography venography is an easily obtained study that we recommend in the evaluation of children with multisutural craniosynostosis prior to cranial surgical interventions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".