Alternative Radiotherapy Delivery Approaches to Modulate Radiation Response
Bibliographic record
Abstract
Spatially fractionated (SFRT) and FLASH radiotherapy (RT) are alternative means of dose delivery that are expected to widen the therapeutic window of clinical RT. The biological mechanisms for the observed effects of normal tissue-sparing with maintained tumor control probability are unknown. First, we introduce the preclinical research technologies for SFRT and FLASH-RT with photon beams, which include carbon nanotubes and modifications of standard small animal irradiators. As a novel concept, we highlight the potential importance of line-focussed x-ray tubes. Following that, we review immunological anti-tumor responses observed in various animal models for both alternative irradiation modalities. While there is agreement that SFRT and FLASH modulate the tumor immune microenvironment, at present, it is not clear if the anti-tumor immunity generated is more beneficial than that resulting from conventional RT. Further preclinical research is required to determine which aspects of the SFRT-mediated or FLASH-mediated anti-tumor immune response could be exploited for the eventual benefit of cancer patients.
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.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".