ArticleStrahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]2014
Protection of quality and innovation in radiation oncology: the prospective multicenter trial the German Society of Radiation Oncology (DEGRO-QUIRO study). Evaluation of time, attendance of medical staff, and resources during radiotherapy with IMRT.
Article in Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al], 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
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Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis.Biomedical engineering online · 2023Pooled it
- Clinical evaluation and regression test of a commercial deep-learning auto-segmentation model.Journal of applied clinical medical physics · 2026Article
- A multi-centre real-world evaluation of AI-assisted organ at risk contouring on radiotherapy treatment planning workflows.The British journal of radiology · 2026Article
- Evaluation of efficacy in prostate cancer contouring for MR-guided radiotherapy using structured contouring training modules.Technical innovations & patient support in radiation oncology · 2026Article
- National competition reveals common errors in target delineation among young clinicians in radiation therapy.BMC medical education · 2025Article
- Analysis of operative duration of image-guided brachytherapy for cervical cancer.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025Article
- Clinical evaluation of atlas-based auto-segmentation for contouring pelvic CTVs in the treatment of anal cancer with FDG-PET-positive lymph node involvement.Frontiers in oncology · 2025Article
- The impact of advancing the standard of care in radiotherapy on operational treatment resources.Journal of applied clinical medical physics · 2024Article
- Usability and usefulness of (electronic) patient identification systems-A cross-sectional evaluation in German-speaking radiation oncology departments.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2024Article
- Fully automated deep learning based auto-contouring of liver segments and spleen on contrast-enhanced CT images.Scientific reports · 2024Article
- Challenges in assessing national radiotherapy costs: application of the ESTRO-HERO model in Spain.Frontiers in public health · 2024Article
- Fully-automated, CT-only GTV contouring for palliative head and neck radiotherapy.Scientific reports · 2023Article
- Risk management patterns in radiation oncology-results of a national survey within the framework of the Patient Safety in German Radiation Oncology (PaSaGeRO) project.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2023Article
- Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning.Frontiers in oncology · 2023Article
- Automatic segmentation of the gross target volume in radiotherapy for lung cancer using transresSEUnet 2.5D Network.Journal of translational medicine · 2022Article
- Evaluation of auto-segmentation for EBRT planning structures using deep learning-based workflow on cervical cancer.Scientific reports · 2022Article
- Multi-organ auto-delineation in head-and-neck MRI for radiation therapy using regional convolutional neural network.Physics in medicine and biology · 2022Article
- Evaluation of deep learning-based multiparametric MRI oropharyngeal primary tumor auto-segmentation and investigation of input channel effects: Results from a prospective imaging registry.Clinical and translational radiation oncology · 2022Article
- Feasibility of Continual Deep Learning-Based Segmentation for Personalized Adaptive Radiation Therapy in Head and Neck Area.Cancers · 2021Article
- Tumor Segmentation in Patients with Head and Neck Cancers Using Deep Learning Based-on Multi-modality PET/CT Images.Head and Neck Tumor Segmentation : First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings · 2021Article
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Authors and funding
9 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundA number of national and international societies published recommendations regarding the required equipment and manpower assumed to be necessary to treat a number of patients with radiotherapy. None of these recommendations were based on actual time measurements needed for specific radiotherapy procedures. The German Society of Radiation Oncology (DEGRO) was interested in substantiating these recommendations by prospective evaluations of all important core procedures of radiotherapy in the most frequent cancers treated by radiotherapy. The results of the examinations of radiotherapy with intensity-modulated radiation therapy (IMRT) in patients with different tumor entities are presented in this manuscript. PATIENTS, MATERIAL, AND
methodsFour radiation therapy centers [University Hospital of Marburg, University Hospital of Giessen, University Hospital of Berlin (Charité), Klinikum rechts der Isar der Technischen Universität München] participated in this prospective study. The workload of the different occupational groups and room occupancies for the core procedures of radiotherapy were prospectively documented during a 2-month period per center and subsequently statistically analyzed.
resultsThe time needed per patient varied considerably between individual patients and between centers for all the evaluated procedures. The technical preparation (contouring of target volume and organs at risk, treatment planning, and approval of treatment plan) was the most time-consuming process taking 3 h 54 min on average. The time taken by the medical physicists for this procedure amounted to about 57%. The training part of the preparation time was 87% of the measured time for the senior physician and resident. The total workload for all involved personnel comprised 74.9 min of manpower for the first treatment, 39.7 min for a routine treatment with image guidance, and 22.8 min without image guidance. The mean room occupancy varied between 10.6 min (routine treatment without image guidance) and 23.7 min (first treatment with image guidance).
conclusionThe prospective data presented here allow for an estimate of the required machine time and manpower needed for the core procedures of radiotherapy in an average radiation treatment with IMRT. However, one should be aware that a number of necessary and time-consuming activities were not evaluated in the present study.
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