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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".