Performance characterization of a novel hybrid dosimetry insert for simultaneous spatial, temporal, and motion‐included dosimetry for MR‐linac
Bibliographic record
Abstract
Abstract Background Several (online) adaptive radiotherapy procedures are available to maximize healthy tissue sparing in the presence of inter/intrafractional motion during stereotactic body radiotherapy (SBRT) on an MR‐linac. The increased treatment complexity and the motion‐delivery interplay during these treatments require MR‐compatible motion phantoms with time‐resolved dosimeters to validate end‐to‐end workflows. This is not possible with currently available phantoms. Purpose Here, we demonstrate a new commercial hybrid film‐scintillator cassette, combining high spatial resolution radiochromic film with four time‐resolved plastic scintillator dosimeters (PSDs) in an MRI‐compatible motion phantom. Methods First, the PSD's performance for consistency, dose linearity, and pulse repetition frequency (PRF) dependence was evaluated using an RW3 solid water slab phantom. We then demonstrated the MRI4D scintillator cassette's suitability for time‐resolved and motion‐included quality assurance for adapt‐to‐shape (ATS), trailing, gating, and multileaf collimator (MLC) tracking adaptations on a 1.5 T MR‐linac. To do this, the cassette was inserted into the Quasar MRI4D phantom, which we used statically or programmed with artificial and patient‐derived motion. Simultaneously with dose measurements, the beam‐gating latency was estimated from the time difference between the target entering/leaving the gating window and the beam‐on/off times derived from the time‐resolved dose measurements. Results Experiments revealed excellent detector consistency (standard deviation 0.6%), dose linearity (R2 = 1), and only very low PRF dependence (0.4%). The dosimetry cassette demonstrated a near‐perfect agreement during an ATS workflow between the time‐resolved PSD and treatment planning system (TPS) dose (0%–2%). The high spatial resolution film measurements confirmed this with a 1%/1‐mm local gamma pass‐rate of 90%. When trailing patient‐derived prostate motion for a prostate SBRT delivery, the time‐resolved cassette measurements demonstrated how trailing mitigated the motion‐induced dose reductions from 1%–17% to 1%–2% compared to TPS dose. The cassette's simultaneously measured spatial dose distribution highlighted the dosimetric gain of trailing by improving the 3%/3‐mm local gamma pass‐rates from 80% to 97% compared to the static dose. Similarly, the cassette demonstrated the benefit of real‐time adaptations when compensating patient‐derived respiratory motion by showing how the TPS dose was restored from 2%–56% to 0%–12% (gating) and 1%–26% to 1%–7% (MLC tracking) differences. Larger differences are explainable by TPS‐PSD coregistration uncertainty combined with a steep dose gradient outside the PTV. The cassette also demonstrated how the spatial dose distributions were drastically improved by the real‐time adaptations with 1%/1‐mm local gamma pass‐rates that were increased from 8 to 79% (gating) and from 35 to 89% (MLC tracking). The cassette‐determined beam‐gating latency agreed within 12 ms with the ground truth latency measurement. Film and PSD dose agreed well for most cases (differences relative to TPS dose 4%), while film‐PSD coregistration uncertainty caused relative differences of 5%–8%. Conclusions This study demonstrates the excellent suitability of a new commercial hybrid film‐scintillator cassette for simultaneous spatial, temporal, and motion‐included dosimetry.
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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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".