Photoacoustic cardiovascular imaging: a new technique for imaging of atherosclerosis and vulnerable plaque detection
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The sudden rupture of an atherosclerotic plaque is one of the main causes of stroke and stroke induced death. Plaque composition plays a critical role in plaque rupture. In order to differentiate between different plaque components, an imaging technique suitable for patient follow-up is needed. Photoacoustic (PA) imaging (PAI), a relatively new imaging technique, can also be used for cardiovascular imaging as it resolves optical contrast with ultrasonic resolution, visualizes oxygenated and deoxygenated haemoglobin and a large range of optical agents. PAI can be used to visualize molecular tissue changes, not only stenosis, and relates to the evaluation treatment protocols and/or post-procedural follow-up. In this review, we explain the principles of PAI, describe the recent developments in PAI systems used for non-invasive carotid imaging and intravascular imaging of coronary atherosclerosis and suggest areas of future research that will help bring PAI imaging towards clinical cardiovascular imaging.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it