ArticleJournal of applied clinical medical physics2016
Improving treatment plan evaluation with automation.
Article in Journal of applied clinical medical physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
47 citing papers in PubMed, 1 synthesis or guideline pooled it.
- American Association of Physicists in Medicine Task Group 263: Standardizing Nomenclatures in Radiation Oncology.International journal of radiation oncology, biology, physics · 2018Guideline
- Can physics review catch prescription and PTV margin errors in fully automated radiotherapy plans? A hazard study.Journal of applied clinical medical physics · 2026Article
- Development and evaluation of an automated report-based chart checking tool in external beam radiotherapy.Journal of applied clinical medical physics · 2026Article
- Evaluation of an interpretable deep-learning model for the automated plan review of intensity-modulated radiation therapy.Frontiers in oncology · 2026Article
- Automated Treatment Plan Integrity Verification for Proton Therapy: Enhancing Error Detection and Workflow Efficiency.International journal of particle therapy · 2025Article
- Development of a hybrid automated chart checking, data collection, and analysis system.Journal of applied clinical medical physics · 2025Article
- Safe automation of interfering medical treatments via control barrier functions and reachability analysis: a fluid resuscitation-sedation-vasopressor infusion case study.Journal of clinical monitoring and computing · 2025Article
- Applying aperture-based intensity map in automated plan review of volumetric modulated arc therapy for lung cancer patients.Quantitative imaging in medicine and surgery · 2025Article
- Enhancing patient safety in radiotherapy: Implementation of a customized electronic checklist for radiation therapists.Technical innovations & patient support in radiation oncology · 2024Article
- Technical note: An automated document verification tool in radiation oncology EMR: Application for LDR prostate brachytherapy.Journal of applied clinical medical physics · 2024Article
- Automation and artificial intelligence in radiation therapy treatment planning.Journal of medical radiation sciences · 2024Article
- Clinical physicists' perceptions of weekly chart checks and the potential role for automated image review assessed by structured interviews.Journal of applied clinical medical physics · 2024Article
- Artificial intelligence application in the diagnosis and treatment of bladder cancer: advance, challenges, and opportunities.Frontiers in oncology · 2024Review
- Unsupervised machine learning model for detecting anomalous volumetric modulated arc therapy plans for lung cancer patients.Frontiers in big data · 2024Article
- Implementation of a knowledge-based decision support system for treatment plan auditing through automation.Medical physics · 2023Article
- Unified risk analysis in radiation therapy.Zeitschrift fur medizinische Physik · 2023Article
- [Quantitative evaluation of radiotherapy plan in precise external beam radiotherapy process management for cervical cancer].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023Article
- Combining autoencoder with clustering analysis for anomaly detection in radiotherapy plans.Quantitative imaging in medicine and surgery · 2023Article
- Frequency of errors in the transfer of treatment parameters from the treatment planning system to the oncology information system in a multi-vendor environment.Journal of applied clinical medical physics · 2023Article
- Anomaly detection in radiotherapy plans using deep autoencoder networks.Frontiers in oncology · 2023Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
The goal of this work is to evaluate the effectiveness of Plan-Checker Tool (PCT) which was created to improve first-time plan quality, reduce patient delays, increase the efficiency of our electronic workflow, and standardize and automate the phys-ics plan review in the treatment planning system (TPS). PCT uses an application programming interface to check and compare data from the TPS and treatment management system (TMS). PCT includes a comprehensive checklist of automated and manual checks that are documented when performed by the user as part of a plan readiness check for treatment. Prior to and during PCT development, errors identified during the physics review and causes of patient treatment start delays were tracked to prioritize which checks should be automated. Nineteen of 33checklist items were automated, with data extracted with PCT. There was a 60% reduction in the number of patient delays in the six months after PCT release. PCT was suc-cessfully implemented for use on all external beam treatment plans in our clinic. While the number of errors found during the physics check did not decrease, automation of checks increased visibility of errors during the physics check, which led to decreased patient delays. The methods used here can be applied to any TMS and TPS that allows queries of the database.
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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.