Sci‐Sat AM(2): Brachy‐03: Monte Carlo dosimetry for I‐125 and Pd‐103 eye plaque brachytherapy
Bibliographic record
Abstract
A Monte Carlo study of dosimetry for eye plaque brachytherapy was performed. BrachyDose, an EGSnrc user-code which makes use of Yegin's multi-geometry package, was used to fully model Iodine-125 (model 6711) and Palladium-103 (model 200) brachytherapy seeds and the standardized plaques of the Collaborative Ocular Melanoma Study (COMS). Three-dimensional dose distributions in the eye region were obtained. In general, dose to water was scored, however the implications of replacing water with eye materials was explored. The effect of the gold alloy (Modulay) backing was investigated and the dose was found to be sensitive to the elemental composition of the backing. The presence of the silicon polymer (Silastic) seed carrier resulted in substantial dose decreases relative to water, particularly for Pd-103. For the Modulay backing and Silastic insert combination in a 20 mm plaque, the dose decrease relative to water is of the order of 12% for I-125 and 20% for Pd-103 at a distance of 1 cm from the central seed along the plaque's central axis. For the configurations of seeds used in COMS plaques, interseed attenuation is a small effect within the eye region. The introduction of an air interface results in a dose reduction in its vicinity which depends on the plaque's position within the eye and the source type. The dose distributions in the eye for the two different sources were compared and, for the same prescription dose, Pd-103 generally offers a lower dose to critical normal structures.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".