Interseed and tissue-composition effects in permanent low dose rate brachytherapy
Bibliographic record
Abstract
Permanent Low Dose Rate (LDR) brachytherapy is mostly used for the treatment of prostate cancer and is also used for breast cancer treatment. The dosimetry is made using the TG-43 protocol in which the interseed and the tissue-composition effects are ignored. The interseed effect is the impact of the presence of the seeds on the dosimetry. By ignoring that effect, the Dose Volume Histogram (DVH) is right-shifted and dose analysis parameters such as the D90 are overestimated. The tissue-composition effect is due to the presence of materials different from water around the seeds. In prostate tissue, the DVH is right shifted when this effect is ignored and the dosimetry is made using the TG-43 formalism. In breast tissue the DVH is left shifted when the tissue-composition effect is ignored. The tissue-composition effect is more important in breast tissue than in prostate tissue, so that parameters like the D90 are greatly underestimated by doing the dosimetry for a breast permanent LDR brachytherapy treatment using the TG-43 protocol.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".