Sci—Wed PM: Delivery—03: Commissioning of DAVID —”Device for Advanced Verification of IMRT Deliveries”
Bibliographic record
Abstract
The ”Device for Advanced Verification of IMRT Deliveries” — DAVID is a transparent, segmented, multi‐wire ionization chamber. It attaches to the accessory holder of the gantry. Each wire is centered to the field defined by a leaf pair. The integrated signal measured in each wire is related to the dose delivered to the patient by the modulated incident beam. Thus, at this time DAVID is the only device able to measure an undisturbed signal, related only to Linac parameters. The software compares the signals measured during the radiotherapy session to a reference acquired during the pre‐treatment QA process. DAVID is intended for documenting the radiation delivery constancy of conformal plans, IMRT (Step & Shoot and Sliding window) and RapidArc techniques in real time, during patient treatment. Though not originally intended, DAVID has the potential to perform a number of Linac Physics QA tests. DAVID is a new product in North America. Currently only two are in use, one in New York and the other in Abbotsford, Canada. In order to employ effectively DAVID for routine clinical use, we performed a comprehensive set of measurements. The list includes transmission factors, signal reproducibility with field size and gantry angle, daily setup error of the device, field edge position sensitivity, dose rate signal dependence, EDW constancy, dosimetric leaf gap, picket fence and preliminary work on IMRT verification. All measured data was processed by statistical methods. Our results show that the DAVID system is an effective tool for monitoring IMRT delivery consistency.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.511 | 0.274 |
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".