ArticleJournal of applied clinical medical physics2025
Development of a database and analytical environment for precision quality management in high-precision radiotherapy.
Article in Journal of applied clinical medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Development of a database and analytical environment for precision quality management in high-precision radiotherapy.Journal of applied clinical medical physics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHigh-precision radiotherapy, especially intensity-modulated radiotherapy (IMRT), requires stringent quality assurance (QA) owing to its complexity. Moreover, patient-specific QA (PSQA) is essential to ensure accurate dose delivery. PURPOSE: This study aimed to develop a centralized PSQA database and analytical environment to improve consistency, efficiency, and safety in QA processes across institutions.
methodsA relational database was implemented using MOSAIQ Oncology Analytics, integrating structured input forms, statistical process control, and visualization tools. PSQA data from four institutions were collected and analyzed based on AAPM TG-218.
resultsA total of 835 PSQA cases were analyzed across five disease sites. Statistically derived action and tolerance limits revealed interfacility variability. Visualization dashboards enabled detection of trends and outliers, supporting real-time QA monitoring.
conclusionsThe system enhanced QA consistency, enabled benchmarking, and supported data-driven improvements. Centralized QA databases are effective tools for advancing radiotherapy quality and safety.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.