WE‐D‐T‐617‐02: The Dose Response of Radiochromic Gel Dosimeters: Dose Fractionation Effects
Bibliographic record
Abstract
Purpose: To investigate the magnitude of dose fractionation effects on the dose response of radiochromic Ferrous — Xylenol orange — Gelatin (FXG) and gelatin‐free FX dosimeters. Method and Materials: The FXG gels contained distilled water, 50mM sulfuric acid, 0.3mM ferrous‐ammonium‐sulfate, 0.05mM xylenol orange (XO) from suppliers Sigma(X0127) and Aldrich(22785‐4), and 4% by mass of gelatin. On preparation, the liquid gel was poured into 1cm polymethymethacrylate cuvettes, sealed with Parafilm and refrigerated to 4°C. Samples were irradiated using a unit to 0–5Gy. Thirty minutes after irradiation, optical transmissions through the samples were measured (referenced to 1cm water‐filled cuvettes) at 589nm using a spectrophotometer (Hitachi‐Perkin‐Elmer‐139). Samples were re‐irradiated to the same doses, followed by optical transmission measurements. The procedure was repeated with gelatin‐free FX aqueous solutions containing XO supplied by Sigma, Sigma‐Aldrich(398187‐5G) and Aldrich, respectively. Optical transmission measurements were made through 10cm pathlength cuvettes to detect smaller differences. Results: For the FXG gel made with Aldrich XO, a linear dose response was observed in the first fraction irradiation but only above a threshold dose of 0.5Gy. Use of reagent grade Sigma XO lowered the dose sensitivity and threshold dose value to 0.2Gy. For both FXG gels, the threshold dose was removed by pre‐irradiation with the first radiation fraction or by storing the gels for two weeks in the dark at 4°C. FX solutions exhibited a similar behaviour as FXG gels thus suggesting that gelatin per se is not responsible for the threshold dose effect. Conclusion: FXG gels exhibit dose fractionation effects which can potentially lead to inaccurate dosimetry for segmented radiotherapy. Manufacturing FXG dosimeters with reagent grade XO lowers the magnitude of the threshold dose. It appears that accelerated oxidation by a uniform pre‐irradiation or by auto‐oxidation (through storage of gels for a pre‐determined time) is needed to eliminate the threshold dose effect.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".