ArticleTranslational lung cancer research2018
Advanced proton beam dosimetry part II: Monte Carlo
Article in Translational lung cancer research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 41 citations in OpenAlex.
- Contour-based lung dose prediction for breast proton therapy.Journal of applied clinical medical physics · 2018Trial
- Experimental verification of the proton range using heterogeneous animal tissue.Journal of applied clinical medical physics · 2026Article
- Beam commissioning of a new compact scanned proton therapy system with four different dose calculation algorithms.Journal of applied clinical medical physics · 2026Article
- Small field proton irradiation for in vivo studies: Potential and limitations when adapting clinical infrastructure.Zeitschrift fur medizinische Physik · 2023Article
- Radiation and immune checkpoint inhibitor-mediated pneumonitis risk stratification in patients with locally advanced non-small cell lung cancer: role of functional lung radiomics?Discover oncology · 2022Article
- Feasibility study of fast intensity-modulated proton therapy dose prediction method using deep neural networks for prostate cancer.Medical physics · 2022Article
- Dosimetric impact of geometric distortions in an MRI-only proton therapy workflow for lung, liver and pancreas.Zeitschrift fur medizinische Physik · 2022Article
- Dose calculation accuracy in particle therapy: Comparing carbon ions with protons.Medical physics · 2021Article
- Dose distribution effects of spot-scanning proton beam therapy equipped with a multi-leaf collimator for pediatric brain tumors.Oncology letters · 2021Article
- Physics of Particle Beam and Hypofractionated Beam Delivery in NSCLC.Seminars in radiation oncology · 2021Review
- Improving Proton Dose Calculation Accuracy by Using Deep Learning.Machine learning: science and technology · 2021Article
- Producing a Beam Model of the Varian ProBeam Proton Therapy System using TOPAS Monte Carlo Toolkit.Medical physics · 2020Article
- Analytical modeling of depth-dose degradation in heterogeneous lung tissue for intensity-modulated proton therapy planning.Physics and imaging in radiation oncology · 2020Article
- Treatment planning for proton therapy: what is needed in the next 10 years?The British journal of radiology · 2020Review
- Is an analytical dose engine sufficient for intensity modulated proton therapy in lung cancer?The British journal of radiology · 2020Article
- Comparative photon and proton dosimetry for patients with mediastinal lymphoma in the era of Monte Carlo treatment planning and variable relative biological effectiveness.Radiation oncology (London, England) · 2019Article
- Current status of proton therapy techniques for lung cancer.Radiation oncology journal · 2019Article
- Proton therapy for non-small cell lung cancer: the road ahead.Translational lung cancer research · 2019Review
- Radiobiological and dosimetric impact of RayStation pencil beam and Monte Carlo algorithms on intensity-modulated proton therapy breast cancer plans.Journal of applied clinical medical physics · 2019Article
- A comprehensive dosimetric study of Monte Carlo and pencil-beam algorithms on intensity-modulated proton therapy for breast cancer.Journal of applied clinical medical physics · 2019Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundProton pencil beam (PB) dose calculation algorithms have limited accuracy within heterogeneous tissues of lung cancer patients, which may be addressed by modern commercial Monte Carlo (MC) algorithms. We investigated clinical pencil beam scanning (PBS) dose differences between PB and MC-based treatment planning for lung cancer patients.
methodsWith IRB approval, a comparative dosimetric analysis between RayStation MC and PB dose engines was performed on ten patient plans. PBS gantry plans were generated using single-field optimization technique to maintain target coverage under range and setup uncertainties. Dose differences between PB-optimized (PBopt), MC-recalculated (MCrecalc), and MC-optimized (MCopt) plans were recorded for the following region-of-interest metrics: clinical target volume (CTV) V95, CTV homogeneity index (HI), total lung V20, total lung V
resultsIn this ten-patient sample, CTV V95 decreased significantly from 99-100% for PBopt to 77-94% for MCrecalc and recovered to 99-100% for MCopt (P<10
conclusionsMC dosimetry revealed a reduction in target dose coverage under PB-based planning that was regained under MC-based planning along with improved plan robustness. MC-based optimization and dose calculation should be integrated into clinical planning workflows of lung cancer patients receiving actively scanned proton therapy.
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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.