SU-FF-T-117: Comparison of 3D Dose Measurements in Ferrous Xylenol Orange Gels with Mapcheck Diode Array and Pinnacle3 Dose Calculations
Bibliographic record
Abstract
Purpose: To compare 3D dose distributions calculated using the Pinnacle3 (Philips Medical Systems) planning system and measured with a Mapcheck™ diode array with those obtained by independent sets of ferrous xylenol orange (FX) gels scanned optically. Methods: A beam for a clinical IMRT plan with a small planning target volume (PTV) was recalculated using Pinnacle3 (1×1×3 mm voxels) for delivery to a uniform flat water phantom with the linac (Varian Clinac 2100EX) gantry stationary at 0°. The beam was delivered to Mapcheck™ (Sun Nuclear Corporation) with a sequence of overlaying plastic sheets to acquire planar doses from depths of 20 to 70mm (5mm increments). Two FX gels were also irradiated with the IMRT beam and scanned optically with an in-house laser CT scanner and a commercial cone beam CT scanner (Vista™, Modus Medical Devices Inc.), respectively. A second pair of FX gels was irradiated with a 12MeV electron beam (Varian Clinac 2100C) to provide independent dose calibrations for the two scanners. Optical-CT reconstruction data at 0.125mm3 resolution were averaged to 1mm3 voxels for comparison. Mapcheck™ dose points were linearly interpolated to provide additional points for comparison. Results: Laser CT and cone beam CT (Vista™) scanning of FX gels provided similar dose distributions. In comparable slices, the doses were in agreement to within 3% of Mapcheck™ results. Agreement within 2% in dose was achieved for the four independent systems at a 50 mm depth. However, at shallow depths (<30mm) the Pinnacle3 calculation results were greater than the measured doses by up to 7%. Conclusions: FX gel dosimetry provided full 3D dose distributions with 0.5 mm3 resolution and dose at equivalent points agreed favourably with Mapcheck™ readings. Conflict of Interest: Two of the authors (KJ, JB) have a licensing agreement with Modus Medical Devices Inc. concerning the commercialization of Vista™.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".