ArticleJournal of applied clinical medical physics2019
Evaluation of auto-planning in IMRT and VMAT for head and neck cancer.
Article in Journal of applied clinical medical physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Automated treatment planning as a dose escalation strategy for stereotactic radiation therapy in pancreatic cancer.Journal of applied clinical medical physics · 2020Trial
- Inverse treatment planning using deep learning-based organs at risk in radiotherapy for head and neck cancer: a prospective planning study.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2026Article
- Can knowledge-based autoplanning keep up with advances in radiotherapy optimization for oropharyngeal cancer?Frontiers in oncology · 2026Article
- Article
- Automated VMAT planning for short-course radiotherapy in locally advanced rectal cancer.PloS one · 2025Article
- Optimizing volumetric modulated arc therapy prostate planning using an automated Fine-Tuning process through dynamic adjustment of optimization parameters.Physics and imaging in radiation oncology · 2024Article
- Evaluating machine learning enhanced intelligent-optimization-engine (IOE) performance for ethos head-and-neck (HN) plan generation.Journal of applied clinical medical physics · 2023Article
- A two-step treatment planning strategy incorporating knowledge-based planning for head-and-neck radiotherapy.Journal of applied clinical medical physics · 2023Article
- Multi-isocenter VMAT craniospinal irradiation using feasibility dose-volume histogram-guided auto-planning technique.Journal of radiation research · 2023Article
- Automated Contouring and Planning in Radiation Therapy: What Is 'Clinically Acceptable'?Diagnostics (Basel, Switzerland) · 2023Review
- Contour similarity and its implication on inverse prostate SBRT treatment planning.Journal of applied clinical medical physics · 2023Article
- Using feasibility dose-volume histograms to reduce intercampus plan quality variability for head-and-neck cancer.Journal of applied clinical medical physics · 2023Article
- Magnetic Resonance-Guided Radiation Therapy for Head and Neck Cancers.Current oncology (Toronto, Ont.) · 2022Review
- A Novel Method for Improving VMAT Plan Quality and Deliverability.Asian Pacific journal of cancer prevention : APJCP · 2022Article
- Magnetic Resonance Guided Radiotherapy for Head and Neck Cancers.Journal of clinical medicine · 2022Review
- Artificial Intelligence in Radiation Therapy.IEEE transactions on radiation and plasma medical sciences · 2022Article
- Evaluation of Automated Treatment Planning and Organ Dose Prediction for Lung Stereotactic Body Radiotherapy.Cureus · 2021Article
- Evaluation of automatic VMAT plans in locally advanced nasopharyngeal carcinoma.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2021Article
- Radiation-Induced Salivary Gland Dysfunction: Mechanisms, Therapeutics and Future Directions.Journal of clinical medicine · 2020Review
- Study on the ability of 3D gamma analysis and bio-mathematical model in detecting dose changes caused by dose-calculation-grid-size (DCGS).Radiation oncology (London, England) · 2020Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
purposeThe purposes of this work are to (a) investigate whether the use of auto-planning and multiple iterations improves quality of head and neck (HN) radiotherapy plans; (b) determine whether delivery methods such as step-and-shoot (SS) and volumetric modulated arc therapy (VMAT) impact plan quality; (c) report on the observations of plan quality predictions of a commercial feasibility tool. MATERIALS AND
methodsTwenty HN cases were retrospectively selected from our clinical database for this study. The first ten plans were used to test setting up planning goals and other optimization parameters in the auto-planning module. Subsequently, the other ten plans were replanned with auto-planning using step-and-shoot (AP-SS) and VMAT (AP-VMAT) delivery methods. Dosimetric endpoints were compared between the clinical plans and the corresponding AP-SS and AP-VMAT plans. Finally, predicted dosimetric endpoints from a commercial program were assessed.
resultsAll AP-SS and AP-VMAT plans met the clinical dose constraints. With auto-planning, the dose coverage of the low dose planning target volume (PTV) was improved while the dose coverage of the high dose PTV was maintained. Compared to the clinical plans, the doses to critical organs, such as the brainstem, parotid, larynx, esophagus, and oral cavity were significantly reduced in the AP-VMAT (P < 0.05); the AP-SS plans had similar homogeneity indices (HI) and conformality indices (CI) and the AP-VMAT plans had comparable HI and improved CI. Good agreement in dosimetric endpoints between predictions and AP-VMAT plans were observed in five of seven critical organs.
conclusionWith improved planning quality and efficiency, auto-planning module is an effective tool to enable planners to generate HN IMRT plans that are meeting institution specific planning protocols. DVH prediction is feasible in improving workflow and plan quality.
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