Update of the CLRP TG‐43 parameter database for low‐energy brachytherapy sources
Bibliographic record
Abstract
Purpose To update the Carleton Laboratory for Radiotherapy Physics (CLRP) TG‐43 dosimetry database for low‐energy (≤50 keV) photon‐emitting low‐dose rate (LDR) brachytherapy sources utilizing the open‐source EGSnrc application egs_brachy rather than the BrachyDose application used previously for 27 LDR sources in the 2008 CLRP version (CLRPv1). CLRPv2 covers 40 sources ( Pd, I, and Cs). A comprehensive set of TG‐43 parameters is calculated, including dose‐rate constants, radial dose functions with functional fitting parameters, 1D and 2D anisotropy functions, along‐away dose‐rate tables, Primary‐Scatter separation dose tables (for some sources), and mean photon energies at the surface of the sources. The database also documents the source models which will become part of the egs_brachy distribution. Acquisition and validation methods Datasets are calculated after a systematic recoding of the source geometries using the egs++ geometry package and its egs_brachy extensions. Air‐kerma strength per history is calculated for models of NIST’s Wide‐Angle Free‐Air chamber (WAFAC) and for a point detector located at 10 cm on the source’s transverse axis. Full scatter water phantoms with varying voxel resolutions in cylindrical coordinates are used for dose calculations. New statistical uncertainties of source volume corrections for phantom voxels which overlap with brachytherapy sources are implemented in egs_brachy , and all CLRPv2 data include these uncertainties. For validation, data are compared to CLRPv1 and other data in the literature. Data format and access Data are available at https://physics.carleton.ca/clrp/egs_brachy/seed_database_v2 , http://doi.org/10.22215/clrp/tg43v2 . As well as being presented graphically in comparisons to previous calculations, data are available in Excel (.xlsx) spreadsheets for each source. Potential applications The database has applications in research, dosimetry, and brachytherapy treatment planning. This comprehensive update provides the medical physics community with more accurate TG‐43 dose evaluation parameters, as well as fully benchmarked and described source models which are distributed with egs_brachy .
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".