Biological Factors Influencing the RBE of Neutrons: Implications for Their Past, Present and Future Use in Radiotherapy
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
The recent resurgence of interest in fast-neutron therapy, particularly for the treatment of prostate cancer, warrants a review of the original radiobiological basis for this modality and the evolution of these concepts that resulted from subsequent experimentation with the fast-neutron beams used for randomized clinical trials. It is clear from current radiobiological knowledge that some of the postulates that formed the mechanistic basis for past clinical trials were incorrect. Such discrepancies, along with the inherent physical disadvantages of neutron beams in terms of collimation and intensity modulation, may partially account for the lack of therapeutic benefit observed in many randomized clinical trials. Moreover, it is equally apparent that indiscriminate prescription of fast-neutron therapy is likely to lead to an adverse clinical outcome in a proportion of patients. Hence any renewed efforts to establish a niche for this modality in clinical radiation oncology will necessitate the development of a triage system that can discriminate those patients who might benefit from fast-neutron therapy from those who might be harmed by it. In the future, fast-neutron therapy might be prescribed based upon the relative status of appropriate molecular parameters that have a differential impact upon radiosensitivity to photons compared to fast neutrons.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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