SU‐FF‐T‐387: Performance of a Portable MOSFET Dosimetry System for In‐Vivo Dose Measurements in Orthovoltage Treatments and Kilovoltage Cone Beam CT
Bibliographic record
Abstract
Purpose: The purpose of this work is to characterize the portable MOSFET dosimetry system for kilovoltage radiation beams, and investigate its use for in‐vivo dose measurements in orthovoltage treatments and kilovoltage (kV) cone beam computed tomography (CBCT) imaging. Materials and methods: A newly developed MOSFET portable dosimetry system (Best Medical Canada) was characterized and compared against the mobileMOSFET system (Best Medical Canada) for reproducibility, linearity, angular dependency for kilovoltage energies, ranging from 40kVp to 225kVp. Calibration factors were derived for 15 photon energies at 2cm depth of solid water with references to the doses measured according to TG‐61 guidelines. Surface dose measurements were performed on solid water phantom, simulating treatment conditions of patients under treatment. The kV CBCT doses were measured on a Varian linear accelerator (Varian Onboard Advanced Imaging 1.4) for patients undergoing CBCT. Results: The responses of the portable dosimetry system were found to be similar to those of the MobileMOSFET system in terms of sensitivity, reproducibility, linearity, and angular dependency. MOSFET sensitivity for standard sensitivity MOSFETs with standard bias was found to be from 4.63±0.1mV/cGy to 2.63±0.1mV/cGy in the energy range investigated. The average of the dose difference between the MOSFET measurements and the expected skin doses for orthovoltage treatment was (−0.1±2.25)%. The CBCT doses for patients undergoing prostate treatment, shows good agreement with the expected published values. Conclusion: The results of the investigation suggest that the charcateristics of MOSFET portable dosimetry system is very similar to those of the mobileMOSFET system. The dosimetry system was found be suitable for surface dose measurements in orthovoltage treatment, as well as in kV CBCT imaging and therefore, can be used as an in‐vivo dosimeter for routine clinical use.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".