ArticlePhysics and imaging in radiation oncology2023
Assessing the impact of adaptations to the clinical workflow in radiotherapy using transit in vivo dosimetry.
Article in Physics and imaging in radiation oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 13 citations in OpenAlex.
- Determining optimal transit dosimetry gamma parameter values for the detection of failure modes using receiver operating curve analysis.Journal of applied clinical medical physics · 2026Article
- [Analysis of setup errors and their correlation with clinical factors in image-guided radiotherapy for prostate cancer using different immobilization devices].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025Article
- A commissioning protocol for portal imaging-based radiotherapy in vivo dosimetry systems.Physics and imaging in radiation oncology · 2024Article
- Machine learning and lean six sigma for targeted patient-specific quality assurance of volumetric modulated arc therapy plans.Physics and imaging in radiation oncology · 2024Article
- Validation of an in vivo transit dosimetry algorithm using Monte Carlo simulations and ionization chamber measurements.Journal of applied clinical medical physics · 2024Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Purpose: Currently in-vivo dosimetry (IVD) is primarily used to identify individual patient errors in radiotherapy. This study investigated possible correlations of observed trends in transit IVD results, with adaptations to the clinical workflow, aiming to demonstrate the possibility of using the bulk data for continuous quality improvement. Materials and methods: In total 84,100 transit IVD measurements were analyzed of all patients treated between 2018 and 2022, divided into four yearly periods. Failed measurements (FM) were divided per pathology and into four categories of causes of failure: technical, planning and positioning problems, and anatomic changes. Results: The number of FM due to patient related problems gradually decreased from 9.5% to 6.6%, 6.1% and 5.6% over the study period. FM attributed to positioning problems decreased from 10.0% to 4.9% in boost breast cancer patients after introduction of extra imaging, from 9.1% to 3.9% in Head&Neck patients following education of radiation therapists on positioning of patients' shoulders, from 6.1% to 2.8% in breast cancer patients after introduction of ultrahypofractionated breast radiotherapy with daily online pre-treatment imaging and from 11.2% to 4.3% in extremities following introduction of immobilization with calculated couch parameters and a Surface Guided Radiation Therapy solution. FM related to anatomic changes decreased from 10.2% to 4.0% in rectum patients and from 6.7% to 3.3% in prostate patients following more patient education from dieticians. Conclusions: Our study suggests that IVD can be a powerful tool to assess the impact of adaptations to the clinical workflow and its use for continuous quality improvement.
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