ArticleScientific reports2015
Spatial mapping of the biologic effectiveness of scanned particle beams: towards biologically optimized particle therapy.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.
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Who cites it
79 citing papers in PubMed.
- Article
- DNA damage complexity as a predictor of cell survival: a microscopic Monte Carlo-based modeling framework for photon, proton and carbon ion irradiation.Physics in medicine and biology · 2026Article
- Neural network modelling of proton RBE values at predominant survival fractions of in vitro data.Scientific reports · 2026Article
- Quantitative analysis of robustness-based versus LET-based optimization in intensity-modulated proton therapy for pediatric brain tumors.Journal of applied clinical medical physics · 2026Article
- Evaluation of organ-specific relative biological effectiveness of proton therapy using radiation-induced pneumonitis as an endpoint.Clinical and translational radiation oncology · 2026Article
- Novel use of peak optimized particle therapy for the delivery of three-dimensional spatially fractionated radiotherapy.Frontiers in oncology · 2026Article
- Microdosimetric characterization of proton relative biological effectiveness in pancreatic ductal adenocarcinoma cell lines.Frontiers in oncology · 2026Article
- Experimental design and control methods for dose rate optimization in a synchrotron-based proton therapy beamline.Precision radiation oncology · 2025Article
- Differentiation Stage Predicts Radiosensitivity in Mesenchymal-Like Pancreatic Cancer.International journal of radiation oncology, biology, physics · 2025Article
- Human glioblastoma (U87) cells grown in 3D culture showed a radio-resistance to X-ray and proton radiation.Radiological physics and technology · 2025Article
- Clinical advances and challenges in dose constraints for organs at risk in proton therapy: A systematic review of the last decade's literature.Precision radiation oncology · 2025Review
- Assessment of Tumor Relative Biological Effectiveness in Low-LET Proton Irradiation.Biomedicines · 2025Article
- Position in proton Bragg curve influences DNA damage complexity and survival in head and neck cancer cells.Clinical and translational radiation oncology · 2025Article
- 'Dirty dose'-based proton variable RBE models - performance assessment on in vitro data.Medical physics · 2025Article
- NRG Oncology White Paper on the Relative Biological Effectiveness in Proton Therapy.International journal of radiation oncology, biology, physics · 2025Review
- Interpreting the biological effects of protons as a function of physical quantity: linear energy transfer or microdosimetric lineal energy spectrum?Scientific reports · 2024Article
- Dosimetric Features of Ultra-Hypofractionated Intensity Modulated Proton Therapy for Prostate Cancer.International journal of particle therapy · 2024Article
- Review
- Deep learning-based synthetic dose-weighted LET map generation for intensity modulated proton therapy.Physics in medicine and biology · 2024Article
- Review
19 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
The physical properties of particles used in radiation therapy, such as protons, have been well characterized, and their dose distributions are superior to photon-based treatments. However, proton therapy may also have inherent biologic advantages that have not been capitalized on. Unlike photon beams, the linear energy transfer (LET) and hence biologic effectiveness of particle beams varies along the beam path. Selective placement of areas of high effectiveness could enhance tumor cell kill and simultaneously spare normal tissues. However, previous methods for mapping spatial variations in biologic effectiveness are time-consuming and often yield inconsistent results with large uncertainties. Thus the data needed to accurately model relative biological effectiveness to guide novel treatment planning approaches are limited. We used Monte Carlo modeling and high-content automated clonogenic survival assays to spatially map the biologic effectiveness of scanned proton beams with high accuracy and throughput while minimizing biological uncertainties. We found that the relationship between cell kill, dose, and LET, is complex and non-unique. Measured biologic effects were substantially greater than in most previous reports, and non-linear surviving fraction response was observed even for the highest LET values. Extension of this approach could generate data needed to optimize proton therapy plans incorporating variable RBE.
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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.