T<sub>2</sub><sup>†</sup> measurement during acute cerebral ischemia by Carr‐Purcell MRI at 4T
Bibliographic record
Abstract
Metabolic and structural changes occur in brain tissue within minutes of ischemia. The adiabatic multi-echo (Carr-Purcell) localization pulse sequence LASER has shown promise in detecting tissue contrast changes within the first hour of ischemia. The purpose of this initial study was to combine the LASER localization sequence with fast 3D echo-planar imaging (EPI) to quantify the regional apparent transverse relaxation (T(2) (dagger)) in a rabbit model of acute embolic ischemia at 4 Tesla. Carr-Purcell T(2) (dagger)-weighted images were acquired at 7 different echo-times and used to estimate T(2) (dagger) in both cortex and striatum. In ischemic tissue identified by 2,3,5-triphenyltetrazolium chloride (TTC) staining, the T(2) (dagger) increased by approximately 31% after 1 hour of ischemia and remained elevated until study completion at 4 h of ischemia. Lesion volume, defined as the number of pixels with T(2) (dagger) greater than 90 ms, increased by 40% between 1 and 4 h after induction of ischemia. Carr-Purcell LASER-EPI T(2) (dagger)-weighted images show promise in detecting early tissue changes in focal cerebral ischemia.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".