PDTM-33. FOCUSED ULTRASOUND DISRUPTION OF THE BLOOD BRAIN BARRIER IN THE BRAINSTEM: A FEASIBILITY AND SAFETY STUDY
Bibliographic record
Abstract
Magnetic Resonance Image-guided Focused Ultrasound (MRgFUS) has been used to achieve transient BBB opening without tissue injury. Delivery of a targeted ultrasonic wave causes an interaction between administered microbubbles and the capillary bed resulting in enhanced vessel permeability. The use of MRgFUS in the brainstem has not previously been shown. Using a rodent model, we have conducted a study demonstrating the safety of this technique in the brainstem. Four groups of rats were used: 1) Microbubble administration but no MRgFUS treatment; 2) MRgFUS only; 3) MRgFUS + microbubbles; and 4) MRgFUS + microbubbles + cisplatin. Physiological assessment was performed by monitoring of heart and respiratory rates. Motor function and co-ordination were evaluated by Rotarod and grip strength testing. Histological analysis for haemorrhage (H&E), neuronal nuclei (NeuN) and apoptosis (cleaved Caspase-3) was also performed following the ultrasound procedure. T1-weighted MR imaging confirmed BBB opening by contrast enhancement and positive Evans blue staining of the brainstem. The normal cardiorespiratory parameters were preserved, with grip strength and Rotarod testing demonstrating no difference in performance across all groups. Histological analysis showed no evidence of haemorrhage, neuronal loss or increased apoptosis. Our data confirm that we have identified parameters to safely, effectively and non-invasively open the BBB in the brainstem, giving promise towards therapeutic drug delivery to brainstem-specific conditions such as diffuse intrinsic pontine glioma (DIPG).
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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) | 0.000 | 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) | 0.001 | 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".