ArticleJournal of applied clinical medical physics2017
Robust optimization of VMAT for lung cancer: Dosimetric implications of motion compensation techniques.
Article in Journal of applied clinical medical physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Investigation of factors related to treatment planning of x-ray SBRT and scanning carbon-ion radiation therapy for early-stage lung cancer patients.Journal of applied clinical medical physics · 2025Article
- Interval Analysis-Based Optimization: A Robust Model for Intensity-Modulated Radiotherapy (IMRT).Cancers · 2025Article
- Robust optimization of the Gross Tumor Volume compared to conventional Planning Target Volume-based planning in photon Stereotactic Body Radiation Therapy of lung tumors.Acta oncologica (Stockholm, Sweden) · 2024Article
- Individualized breathing trace quality assurance for lung radiotherapy patients undergoing 4DCT simulation.Journal of applied clinical medical physics · 2023Article
- [Prediction of respiratory motion based on sequential embedding combined with relational embedding].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022Article
- Robust optimization of VMAT for prostate cancer accounting for geometric uncertainty.Journal of applied clinical medical physics · 2022Article
- Treatment planning and 4D robust evaluation strategy for proton therapy of lung tumors with large motion amplitude.Medical physics · 2021Article
- On the reduction of aperture complexity in kidney SABR.Journal of applied clinical medical physics · 2021Article
- A robust VMAT delivery solution for single-fraction lung SABR utilizing FFF beams minimizing dosimetric compromise.Journal of applied clinical medical physics · 2020Article
- Effectiveness of robust optimization in volumetric modulated arc therapy using 6 and 10 MV flattening filter-free beam therapy planning for lung stereotactic body radiation therapy with a breath-hold technique.Journal of radiation research · 2020Article
- On the pitfalls of PTV in lung SBRT using type-B dose engine: an analysis of PTV and worst case scenario concepts for treatment plan optimization.Radiation oncology (London, England) · 2020Article
- Simulation of dosimetry impact of 4DCT uncertainty in 4D dose calculation for lung SBRT.Radiation oncology (London, England) · 2019Article
- Robust optimization in lung treatment plans accounting for geometric uncertainty.Journal of applied clinical medical physics · 2018Review
- The Role of Plan Robustness Evaluation in Comparing Protons and Photons Plans - An Application on IMPT and IMRT Plans in Skull Base Chordomas.Journal of medical physicsArticle
- Characterization of robust optimization for VMAT plan for liver cancer.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation OncologyArticle
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Authors and funding
5 authors.
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Abstract
In inverse planning of lung radiotherapy, techniques are required to ensure dose coverage of target disease in the presence of tumor motion as a result of respiration. A range of published techniques for mitigating motion effects were compared for dose stability across 5 breath cycles of ±2 cm. Techniques included planning target volume (PTV) expansions, internal target volumes with (OITV) and without tissue override (ITV), average dataset scans (ADS), and mini-max robust optimization. Volumetric arc therapy plans were created on a thorax phantom and verified with chamber and film measurements. Dose stability was compared by DVH analysis in calculations across all geometries. The lung override technique resulted in a substantial lack of dose coverage (-10%) to the tumor in the presence of large motion. PTV, ITV and ADS techniques resulted in substantial (up to 25%) maximum dose increases where solid tissue travelled into low density optimized regions. The results highlight the need for care in optimization of highly heterogeneous where density variations may occur with motion. Robust optimization was shown to provide greater stability in both maximum (<3%) and minimum dose variations (<2%) over all other techniques.
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