Ultrasound-Guided Photoacoustic Imaging of Salivary Gland Hemodynamics in Rabbits
Bibliographic record
Abstract
Xerostomia (severe dry mouth) is a debilitating and often permanent side effect experienced by head and neck cancer patients due to radiation injury to salivary glands. In this study, we evaluated the potential of ultrasound (US)-guided photoacoustic imaging (PAI) to non-invasively assess early changes in salivary gland hemodynamics following radiation therapy (RT). US-guided PAI was performed in New Zealand white rabbits to visualize and quantify the hemoglobin concentration (HbT) and oxygen saturation (%sO2) of parotid glands before and after RT. The imaging findings were validated with histology and sialometry. An early increase in parotid gland HbT and %sO2 was seen following RT. Consistent with the PAI observations, histology of salivary glands revealed dilated blood vessels, along with hemorrhaging and fibrosis. Sialometric analysis confirmed a significant reduction in stimulated saliva secretion in irradiated rabbits compared to controls. Collectively, our findings demonstrate the translational utility of US-guided PAI as a valuable tool for label-free functional imaging of salivary gland hemodynamics in vivo.
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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 | 0.001 | 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) | 0.001 | 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".