ArticleJournal of applied clinical medical physics2020
Accurate method for evaluating the duration of the entire radiotherapy process.
Article in Journal of applied clinical medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Performance of artificial intelligence for brain tumor segmentation, treatment planning, and outcome prediction: a comprehensive systematic review and meta-analysis.Journal of neuro-oncology · 2025Pooled it
- Autonomous radiotherapy planning via agentic orchestration using a multimodal TPS-integrated compound AI platform.Machine learning. Health · 2026Article
- Prospective blinded clinical evaluation of a fully automated workflow for prostate radiotherapy.Physics and imaging in radiation oncology · 2026Article
- Waiting time interpretations: Complexity and consequences for radiotherapy delays.Technical innovations & patient support in radiation oncology · 2026Article
- A deep learning approach for predicting linear accelerator output settings in automated radiotherapy planning of oligometastatic cancer.Physics and imaging in radiation oncology · 2026Article
- Longitudinal evaluation of workflow optimization in radiotherapy: A 4-year retrospective study.Journal of applied clinical medical physics · 2025Article
- Single patient learning for adaptive radiotherapy dose prediction.Medical physics · 2023Article
- A national survey on the medical physics workload of external beam radiotherapy in Japan†.Journal of radiation research · 2023Article
- Machine learning-based radiotherapy time prediction and treatment scheduling management.Journal of applied clinical medical physics · 2023Article
- Retrospective Analysis of Treatment Workflow in Frame-Based and Frameless Gamma Knife Radiosurgery.Cureus · 2022Article
- Time Matters: A Review of Current Radiotherapy Practices and Efficiency Strategies.Technology in cancer research & treatmentReview
- Customizing Treatment Scheduling Windows with a Time Margin Recipe: A Single-institutional Study.Journal of medical physicsArticle
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Authors and funding
4 authors.
Funding
Abstract
background and purposeAlong with the increasing demand for high-quality radiotherapy and the growing number of high-precision radiotherapy devices, precise radiotherapy workflow management and accurate time evaluation of the entire radiotherapy process are crucial to providing appropriate, timely treatment for cancer patients. This study therefore aimed to establish an accurate, reliable method for evaluating the duration of the radiotherapy process, from beginning to end, based on real-time measurement data. These data are vital for improving the quality and efficiency of radiotherapy delivery. MATERIALS AND
methodsAltogether, 17 620 cancer patients' radiotherapy experiences were measured in real time in our radiation oncology department. The process was divided into five sequential core modules, with the start and stop times of each module automatically recorded using MOSAIQ software, an automated radiotherapy management system. The duration for each module and the total duration of the entire process were then automatically calculated and qualitatively analyzed.
resultsThe analysis showed significant treatment-time differences depending on the tumor site, which provided a practical reference for improvement of previous treatment modules and appointments management. In all, >60% of the cancer patients' total treatment time could be shortened.
conclusionsWe established a reliable method for evaluating the overall duration of radiotherapy protocols. The results pointed out a clear pathway by which we could improve future radiotherapy workflow management and appointment systems.
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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.