REAL-TIME MONITORING OF GADOLINIUM DIETHYLENETRIAMINE PENTA-ACETIC ACID DURING OSMOTIC BLOOD-BRAIN BARRIER DISRUPTION USING MAGNETIC RESONANCE IMAGING IN NORMAL WISTAR RATS
Bibliographic record
Abstract
OBJECTIVE: Treatment of malignant gliomas is hampered by several factors, one of which is the blood-brain barrier (BBB). Thus, innovative strategies to cross the BBB have been developed, such as the BBB disruption procedure. Although it has been studied extensively, details regarding the physiology of the procedure remain obscure. This study was undertaken to clarify these issues. METHODS: Forty Wistar rats were imaged with a 7T animal magnetic resonance imaging scanner in dynamic acquisitions during BBB disruption. Gadolinium diethylenetriamine penta-acetic acid (Gd-DTPA) was injected to visualize and characterize the permeability of the BBB at different time points after disruption. The concentration of Gd-DTPA in the brain parenchyma was determined as a function of time after injection. RESULTS: A typical pattern of signal change as a function of time was observed in the treated hemisphere of all animals. Initially, a slight signal decrease was observed in T1-weighted images followed by a strong increase corresponding to the injection of Gd-DTPA. Two different mechanisms seemed responsible for the distribution of Gd-DTPA within the parenchyma: 1) a direct diffuse increase in capillary permeability, and 2) a diffusion process in the interstitial compartment. Initial results showed that the barrier opens immediately after the procedure and for at least 30 minutes. CONCLUSION: The methodology described in this article allows monitoring of the dynamics of the BBB disruption process and characterization of its physiology in vivo, and represents a marked advantage over postmortem static studies.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".