Age-dependent changes in oxygen tension, radiation dose and sensitivity within normal and diseased coronary arteries–Part C: Oxygen effect and its implications on high- and low-LET dose
Bibliographic record
Abstract
PURPOSE: The aim is to study the implications of the decrease in oxygen concentration in the coronary artery walls with age and atherosclerosis, particularly with regard to an associated reduction in the radiosensitivity to high-and low-linear-energy-transfer (LET) irradiation. MATERIALS AND METHODS: In accompanying papers, the age-dependent morphology and composition for the wall layers of normal and diseased coronary arteries were developed in Part A from published data. In 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. In this part the oxygen effect was evaluated using published experimental data. RESULTS: Based on simulation results from the one-dimensional diffusion model, the oxygen enhancement ratio (OER) is lower in the hypoxic vessel walls of aged and atherosclerotic arteries. Consequently the high-LET radiation damage arising from both the radon ((222)Rn) and thoron ((220)Rn) decay chains to the intimal layer of highly diseased arteries was estimated to be reduced by approximately 37% due to hypoxia. A greater reduction in radiosensitivity (51%) due to hypoxia was determined for low-LET irradiation. CONCLUSION: These results imply that the oxygen effect, and other radiation biological factors, have a significant influence on radiation biological effects and risk of cardiovascular disease (CVD) to Japanese atomic bomb (A-bomb) survivors and patients receiving radiotherapy of the mediastinum.
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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 | 0.000 |
| 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".