Web application in radiotherapy: the standardization of treatment planning and development of quantitative plan quality metrics
Bibliographic record
Abstract
Treatment planning standardization efforts were made for the Stereotactic Radiosurgery(SRS) program at the Jewish General Hospital, Montreal. A standardized dose objective template for SRS was made in collaboration with physicians in our clinic. A web based platform was made for radiotherapy research and data analysis. The web platform was made with considerations for ease of distribution and customizability. A plan report module was made for the web platform to automatically analyze dose statistics and generate SRS plan reports. The plan report module was well received by dosimetrists in our clinic and reduced the labour required in plan evaluation. A total of 35 approved treatment plans were imported into the web application for analysis. A quantitative metric, Quality Index (QI), was developed to measure SRS plan compliance to the standardized plan evaluation template. The results show increased average QI and decreased QI variation between pre-release and post-release of the web application. The validation of QI as a quality indicator of a treatment plan warrants further study.
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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 | 0.023 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".