Abstract 15305: The Dynamic Behavior of Polymer Microbubbles During Long Ultrasound Tone-Burst Excitation and Its Application for Sonoreperfusion Therapy
Bibliographic record
Abstract
Objective: Ultrasound (US)-targeted microbubble (MB) cavitation (UTMC) mediated therapies have been shown to restore perfusion and enhance drug/gene delivery. Due to the potentially longer circulation time and relative ease of storage and reconstitution of polymer shelled MBs compared with lipid MBs, we investigated the dynamic behavior of polymer MBs and its therapeutic potential for sonoreperfusion (SRP) therapy. Methods: We explored the fate of polymer MBs during a single long tone-burst exposure (1 MHz, 5 ms) at various acoustic pressures (0.25-1.5 MPa) and MB concentrations (2х10 6 -2х10 8 MB/mL) via direct high-speed microscopy observation and passive cavitation detection (PCD) and compared with lipid MBs. SRP efficacy of these MBs was investigated in an in vitro constant flow system at various pulse durations (1 MHz, 1-5 ms every 3 sec for 20 min) and acoustic pressures (0.6-1.5 MPa). The pressure differential across a porous mesh partially occluded with microthrombi was recorded as a function of time during treatment and used as a measure of thrombus burden. The terminal pressure drop and the initial rate of pressure drop were derived and compared. Results: Both polymer and lipid MBs first underwent stable or inertial cavitation depending on the acoustic pressure, and then formed gas-filled clusters that continued to oscillate, fragment, and form new gas-filled clusters during the single US burst. PCD confirmed continued acoustic activity throughout the 5-ms US excitation. SRP efficacy with polymer MBs increased with the pulse duration and acoustic pressure ( p <0.05, ANOVA), similarly to that of lipid MBs, but no significant differences were found between polymer and lipid MBs ( Figure 1 ). Conclusion: Under the acoustic conditions tested, both polymer and lipid MBs demonstrate similar thrombolytic effects in vitro suggesting that persistent cavitation activity from polymer MBs during long tone-burst US confers excellent reperfusion efficacy.
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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) | 0.002 | 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".