Spinal Cord Injury in Real Time: Intra-Operative Ultrasound for Acute Phase Examination in Non-Human Primates
Bibliographic record
Abstract
BACKGROUND: A spinal cord contusion injury is among the most clinically relevant models for studying pathophysiology and for developing potential therapeutic interventions for spinal cord injuries (SCI). METHODS: In this study, we implemented an intra-operative ultrasound (IOU) approach to precisely locate and examine the lesion site at 5 and 10 min post-injury after a cervical hemi-contusion injury in a non-human primate (NHP) model. We assessed acute lesion progression from 5 to 10 min and then compared that to the lesion extent as measured by MRI 3 weeks later. RESULTS: ) from 5 to 10 min and a further 26% increase in the mediolateral lesion extent when comparing 5 and 10 min to 3 weeks post-injury. CONCLUSIONS: By enabling high-resolution ultrasound visualization of the hemicontusion lesion in vivo, this approach can provide critical insights into the early progression of SCI. It can help with further refining this preclinical SCI model and provide significant predictive value for the animals' recovery post-injury.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".