Ultrasound‐Enhanced Thrombolysis for Acute Ischemic Stroke: Phase I. Findings of the CLOTBUST Trial
Bibliographic record
Abstract
BACKGROUND: Tissue plasminogen activator (TPA) activity may be enhanced with ultrasound, potentially 2 MHz transcranial Doppler (TCD). The authors present Phase I data of the CLOTBUST (Combined Lysis of Thrombus in Brain ischemia using transcranial Ultrasound and Systemic TPA). SUBJECTS AND METHODS: Nonrandomized stroke patients with proximal arterial occlusion on a prebolus TCD receiving intravenous 0.9 mg/kg TPA within 3 hours after stroke onset were monitored with portable diagnostic TCD equipment and a standard headframe. Complete recanalization was defined as thrombolysis in brain ischemia (TIBI) flow grades 4-5. RESULTS: 55 patients (mean age 69 +/- 15 years, median baseline NIH Stroke Scale [NIHSS] 18, range 4-29, 90% with 3 9 points) were treated at 125 +/- 36 minutes from symptom onset. TCD monitoring began at 117 +/- 39 minutes. Complete recanalization on TCD within 2 hours after bolus was found in 20 patients (36%). Dramatic recovery (NIHSS score < or = 3) occurred in 20% at 2 hours and in 24% at 24 hours. Overall improvement by > or = 4 NIHSS points was found in 49% at 24 hours. Improvement was associated with recanalization during or shortly after TPA infusion (phi r2 = .5, P = .03); however, in 6/20 patients with complete recanalization (30%), no immediate clinical change was noticed within 2 hours. Overall symptomatic hemorrhage rate was 5.5%. CONCLUSIONS: Continuous TCD insonation for up to 2 hours at maximum intensities allowed by current bio-safety guidelines is safe. Dramatic recovery and complete recanalization shortly after TPA bolus are feasible goals for thrombolysis given with TCD monitoring.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".