ArticleCancers2019
Potential for Improvements in Robustness and Optimality of Intensity-Modulated Proton Therapy for Lung Cancer with 4-Dimensional Robust Optimization.
Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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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
17 citing papers in PubMed, 32 citations in OpenAlex.
- Scenario-free robust optimization algorithm for IMRT and IMPT treatment planning.Medical physics · 2025Article
- Dosimetric impact of positional uncertainties and a robust optimization approach for rectal intensity-modulated brachytherapy.Medical physics · 2025Article
- Comparison of 3D and 4D robustly optimized proton treatment plans for non-small cell lung cancer patients with tumour motion amplitudes larger than 5 mm.Physics and imaging in radiation oncology · 2023Article
- Emerging technologies for cancer therapy using accelerated particles.Progress in particle and nuclear physics · 2023Article
- Reflections on beam configuration optimization for intensity-modulated proton therapy.Physics in medicine and biology · 2022Review
- A Review of Proton Therapy - Current Status and Future Directions.Precision radiation oncology · 2022Article
- Article
- Mitigation of motion effects in pencil-beam scanning - Impact of repainting on 4D robustly optimized proton treatment plans for hepatocellular carcinoma.Zeitschrift fur medizinische Physik · 2022Article
- Management of Motion and Anatomical Variations in Charged Particle Therapy: Past, Present, and Into the Future.Frontiers in oncology · 2022Review
- Assessment of a diaphragm override strategy for robustly optimized proton therapy planning for esophageal cancer patients.Medical physics · 2021Article
- Normal Tissue Injury Induced by Photon and Proton Therapies: Gaps and Opportunities.International journal of radiation oncology, biology, physics · 2021Review
- Tissue-specific deformable image registration using a spatial-contextual filter.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2021Article
- Roadmap: proton therapy physics and biology.Physics in medicine and biology · 2021Review
- Investigation of inter-fraction target motion variations in the context of pencil beam scanned proton therapy in non-small cell lung cancer patients.Medical physics · 2020Article
- Proton beam therapy for tumors of the upper abdomen.The British journal of radiology · 2020Review
- Current status of proton therapy techniques for lung cancer.Radiation oncology journal · 2019Article
- A Planning Comparison of IMRT vs. Pencil Beam Scanning for Deep Inspiration Breath Hold Lung Cancers.Medical dosimetry : official journal of the American Association of Medical DosimetristsArticle
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundMajor challenges in the application of intensity-modulated proton therapy (IMPT) for lung cancer patients include the uncertainties associated with breathing motion, its mitigation and its consideration in IMPT optimization. The primary objective of this research was to evaluate the potential of four-dimensional robust optimization (4DRO) methodology to make IMPT dose distributions resilient to respiratory motion as well as to setup and range uncertainties; Methods: The effect of respiratory motion, characterized by different phases of 4D computed tomography (4DCT), was incorporated into an in-house 4DRO system. Dose distributions from multiple setup and range uncertainty scenarios were calculated for each of the ten phases of CT datasets. The 4DRO algorithm optimizes dose distributions to achieve target dose coverage and normal tissue sparing for multiple setup and range uncertainty scenarios as well as for all ten respiratory phases simultaneously. IMPT dose distributions of ten lung cancer patients with different tumor sizes and motion magnitudes were optimized to illustrate our approach and its potential; Results: Compared with treatment plans generated using the conventional planning target volume (PTV)-based optimization and 3D robust optimization (3DRO), plans generated by 4DRO were found to have superior clinical target volume coverage and dose robustness in the face of setup and range uncertainties as well as for respiratory motion. In most of the cases we studied, 4DRO also resulted in more homogeneous target dose distributions. Interestingly, such improvements were found even for cases in which moving diaphragms intruded into the proton beam paths; Conclusion: The incorporation of respiratory motion, along with setup and range uncertainties, into robust optimization, has the potential to improve the resilience of target and normal tissue dose distributions in IMPT plans in the face of the uncertainties considered. Moreover, it improves the optimality of plans compared to PTV-based optimization as well as 3DRO.
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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.