ArticleRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2018
Functional-guided radiotherapy using knowledge-based planning.
Article in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- Incorporation of Functional Lung Imaging Into Radiation Therapy Planning in Patients With Lung Cancer: A Systematic Review and Meta-Analysis.International journal of radiation oncology, biology, physics · 2024Pooled it
- Results of a Multi-Institutional Phase 2 Clinical Trial for 4DCT-Ventilation Functional Avoidance Thoracic Radiation Therapy.International journal of radiation oncology, biology, physics · 2022Trial
- Validation of the clinical applicability of knowledge-based planning models in single-isocenter volumetric-modulated arc therapy for multiple brain metastases.Journal of applied clinical medical physics · 2020Trial
- Longitudinal identification of sentinel symptoms across frailty dimensions in lung cancer patients undergoing radiotherapy.Discover oncology · 2026Article
- Fully automated intensity-modulated radiotherapy plans for rectal cancer based on deep learning predictions of three-dimensional dose distributions.Quantitative imaging in medicine and surgery · 2025Article
- Integrating spot-scanning proton arc therapy with functional avoidance strategies to reduce pulmonary toxicity.Physics and imaging in radiation oncology · 2025Article
- Systematic Evaluation of the Impact of Lung Segmentation Methods on 4-Dimensional Computed Tomography Ventilation Imaging Using a Large Patient Database.International journal of radiation oncology, biology, physics · 2024Article
- Can knowledge based treatment planning of VMAT for post-mastectomy locoregional radiotherapy involving internal mammary chain and supraclavicular fossa improve performance efficiency?Frontiers in oncology · 2023Article
- Three-dimensional dose and LETMedical physics · 2022Article
- Dose prediction for cervical cancer VMAT patients with a full-scale 3D-cGAN-based model and the comparison of different input data on the prediction results.Radiation oncology (London, England) · 2022Article
- Artificial Intelligence in Radiation Therapy.IEEE transactions on radiation and plasma medical sciences · 2022Article
- A personalized DVH prediction model for HDR brachytherapy in cervical cancer treatment.Frontiers in oncology · 2022Article
- Artificial intelligence applications in intensity modulated radiation treatment planning: an overview.Quantitative imaging in medicine and surgery · 2021Review
- Knowledge-based radiation treatment planning: A data-driven method survey.Journal of applied clinical medical physics · 2021Review
- Clinical Implementation of Automated Treatment Planning for Rectum Intensity-Modulated Radiotherapy Using Voxel-Based Dose Prediction and Post-Optimization Strategies.Frontiers in oncology · 2021Article
- A Review on Application of Deep Learning Algorithms in External Beam Radiotherapy Automated Treatment Planning.Frontiers in oncology · 2020Review
- [A review of machine learning in tumor radiotherapy].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2019Review
- Knowledge-based planning for intensity-modulated radiation therapy: A review of data-driven approaches.Medical physics · 2019Review
- CT-based ventilation imaging in radiation oncology.BJR open · 2019Review
- Changes in Regional Ventilation During Treatment and Dosimetric Advantages of CT Ventilation Image Guided Radiation Therapy for Locally Advanced Lung Cancer.International journal of radiation oncology, biology, physics · 2018Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
Abstract
background and purposeThere are two significant challenges when implementing functional-guided radiotherapy using 4DCT-ventilation imaging: (1) lack of knowledge of realistic patient specific dosimetric goals for functional lung and (2) ensuring consistent plan quality across multiple planners. Knowledge-based planning (KBP) is positioned to address both concerns. MATERIAL AND
methodsA KBP model was created from 30 previously planned functional-guided lung patients. Standard organs at risk (OAR) in lung radiotherapy and a ventilation contour delineating areas of high ventilation were included. Model validation compared dose-metrics to standard OARs and functional dose-metrics from 20 independent cases that were planned with and without KBP.
resultsA significant improvement was observed for KBP optimized plans in V20Gy and mean dose to functional lung (p = 0.005 and 0.001, respectively), V20Gy and mean dose to total lung minus GTV (p = 0.002 and 0.01, respectively), and mean doses to esophagus (p = 0.005).
conclusionThe current work developed a KBP model for functional-guided radiotherapy. Modest, but statistically significant, improvements were observed in functional lung and total lung doses.
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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.