Marine Mobile Stroke Unit: A Pilot Study on the Feasibility and Quality of Brain Imaging
Bibliographic record
Abstract
Introduction: Timely early reperfusion therapies improve stroke outcomes, but geographic barriers often limit patient access to these essential treatments. Innovative care models emerged as potential solutions to overcome these accessibility constraints. We introduce a new paradigm in stroke care: the marine mobile stroke units (MSUs). METHODS: This is a prospective study to evaluate the feasibility, image quality, and inter-rater reliability of images produced by portable brain computerized tomography (CT) scanner on a catamaran while exposed to winds, waves, and tides. We performed non-contrast brain portable CT scanning in healthy volunteers hourly, while the catamaran was docked on the river over 7 consecutive days. Six raters (3 neurologists and 3 radiologists) evaluated brain imaging. Twenty-three anatomical regions were assessed and categorized as ganglionic, supra-ganglionic, and posterior fossa. A quality imaging score ranges from 0 (lowest quality) to 5 (highest quality), with scores of 4 or 5 considered adequate image quality. We used Gwet's AC1 to assess inter-rater agreement. Radiation dose, safety data, and axis rotation data from catamaran were also collected. RESULTS: Of the 168 recruited participants, all completed the study. There were 3,864 anatomical locations included in the analysis. Adequate image quality was demonstrated in 94.9%, 93.0%, and 45.7% of anatomical items at the ganglionic, supra-ganglionic, and posterior fossa regions. Inter-rater agreement was substantial at the ganglionic level (Gwet's AC1 0.62, 95% CI: 0.54-0.70) and the supra-ganglionic level (Gwet's AC1 0.80, 95% CI: 0.74-0.85). The agreement at the posterior fossa level was fair (Gwet's AC1 0.21, 95% CI: 0.13-0.29). No adverse events occurred throughout the duration of the study. CONCLUSIONS: Our study shows the feasibility and safety of a portable brain CT on a catamaran under real-world marine conditions. Our findings pave the way for testing the role of marine MSU for acute stroke management. .
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".