OP30.01: Photoacoustics as a new imaging technique for <i>in utero</i> assessment of fetal cerebellar tissue oxygenation
Bibliographic record
Abstract
To assess the feasibility of evaluating the fetal cerebellar oxygenation in pregnant rats by Photoacoustics (PA) imaging on day 20 of pregnancy (E20). PA imaging is a real-time, non-invasive imaging method, combining laser pulse tissue excitation and ultrasonic detection of the tissue response. We conducted an experimental pilot study in four rat fetuses, from two different pregnant rats that were scanned transabdominally on E20 with a PA imaging system coupled to high-resolution ultrasound imaging. The Vevo 2100 and Vevo LAZR were used to first identify the fetal cerebellum and then assess its oxygen saturation. PA images were acquired with a 15 MHz probe connected to the Vevo LAZR PA imaging system (Fujifilm Visualsonics Inc, Toronto, Canada). The sO2 Av represents the average blood oxygen saturation, which is the sum of all oxygenated pixels in the region of interest, divided by the oxygenated and deoxygenated pixels. The sO2 Av in the cerebellum of the first two fetuses was 82.44% and 79.76%; and the sO2 Av 3D was 81.1% and 79.2%; and in the other two fetuses the sO2 Av was 78.59% and 74.72%; and the sO2 Av 3D was 80.89% and 78.82%. The observed range was 74.72% to 82.44% and the median was 79.48% with a SD of 2.31. Supporting information can be found in the online version of this abstract Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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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 | 0.011 |
| 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".