Age-dependent changes in oxygen tension, radiation dose and sensitivity within normal and diseased coronary arteries–Part B: Modeling oxygen diffusion into vessel walls
Bibliographic record
Abstract
Purpose: The aim is to assess the change with age and disease of the oxygen concentration within the coronary artery walls.Materials and methods: In an accompanying paper, Part A, the age-dependent morphology and composition for the wall layers of normal and diseased coronary arteries were developed from published data. In this paper, Part B, the oxygen concentration in the coronary artery walls was evaluated taking account the diffusion of oxygen from blood and the solubility of oxygen in tissues. Part C evaluates the oxygen effect and its biological implications for different radiations.Results: Diseased arteries exhibited a relatively moderate increase in the solubility of oxygen (≤59%) in arteries with 88% luminal narrowing, as the high solubility in fat was partially offset by the lower solubility in calcium deposits. The oxygen partial pressure across the arterial wall was modeled and the avascular regions of arteries with ≥38% stenosis had anoxic areas.Conclusion: Based on simulation results from the one-dimensional diffusion model, extensive hypoxic areas were determined for atherosclerotic arteries in this analysis of oxygen levels in coronary arteries modelling for the first time the effects of age and disease and associated changes in oxygen solubility due to the presence of lipids and calcium.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 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 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".