ArticleInternational journal of particle therapy2021
A Critical Review of LET-Based Intensity-Modulated Proton Therapy Plan Evaluation and Optimization for Head and Neck Cancer Management.
Article in International journal of particle therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.
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- 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
- One scale to rule them all: interpretable multi-scale Deep Learning for predicting cell survival after proton and carbon ion irradiation.Frontiers in artificial intelligence · 2026Article
- Relative Biological Effectiveness-Clinical Practice at US Proton Therapy Centers.International journal of particle therapy · 2025Article
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- Embracing the Future of Clinical Trials in Radiation Therapy: An NRG Oncology CIRO Technology Retreat Whitepaper on Pioneering Technologies and AI-Driven Solutions.International journal of radiation oncology, biology, physics · 2025Review
- Physiopathological effects of entrance versus distal spread-out Bragg peak on mouse spinal cord neurons.Scientific reports · 2025Article
- Enabling clinical use of linear energy transfer in proton therapy for head and neck cancer - A review of implications for treatment planning and adverse events study.Visualized cancer medicine · 2025Article
- Accurate patient alignment without unnecessary imaging using patient-specific 3D CT images synthesized from 2D kV images.Communications medicine · 2024Article
- Biological optimization for hybrid proton-photon radiotherapy.Physics in medicine and biology · 2024Article
- Hypoxia-informed RBE-weighted beam orientation optimization for intensity modulated proton therapy.Medical physics · 2024Article
- Deep learning-based synthetic dose-weighted LET map generation for intensity modulated proton therapy.Physics in medicine and biology · 2024Article
- Optimizing linear energy transfer distribution in intensity-modulated proton therapy using the alternating direction method of multipliers.Frontiers in oncology · 2024Article
- Artificial general intelligence for radiation oncology.Meta-radiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this review article, we review the 3 important aspects of linear-energy-transfer (LET) in intensity-modulated proton therapy (IMPT) for head and neck (H&N) cancer management. Accurate LET calculation methods are essential for LET-guided plan evaluation and optimization, which can be calculated either by analytical methods or by Monte Carlo (MC) simulations. Recently, some new 3D analytical approaches to calculate LET accurately and efficiently have been proposed. On the other hand, several fast MC codes have also been developed to speed up the MC simulation by simplifying nonessential physics models and/or using the graphics processor unit (GPU)-acceleration approach. Some concepts related to LET are also briefly summarized including (1) dose-weighted versus fluence-weighted LET; (2) restricted versus unrestricted LET; and (3) microdosimetry versus macrodosimetry. LET-guided plan evaluation has been clinically done in some proton centers. Recently, more and more studies using patient outcomes as the biological endpoint have shown a positive correlation between high LET and adverse events sites, indicating the importance of LET-guided plan evaluation in proton clinics. Various LET-guided plan optimization methods have been proposed to generate proton plans to achieve biologically optimized IMPT plans. Different optimization frameworks were used, including 2-step optimization, 1-step optimization, and worst-case robust optimization. They either indirectly or directly optimize the LET distribution in patients while trying to maintain the same dose distribution and plan robustness. It is important to consider the impact of uncertainties in LET-guided optimization (ie, LET-guided robust optimization) in IMPT, since IMPT is sensitive to uncertainties including both the dose and LET distributions. We believe that the advancement of the LET-guided plan evaluation and optimization will help us exploit the unique biological characteristics of proton beams to improve the therapeutic ratio of IMPT to treat H&N and other cancers.
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Registered trials
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