ArticleInternational journal of particle therapy2021
A Review of the Robust Optimization Process and Advances with Monte Carlo in the Proton Therapy Management of Head and Neck Tumors.
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 6 papers.
What it found
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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
6 citing papers in PubMed, 11 citations in OpenAlex.
- Feasibility of reduced setup uncertainty in intensity-modulated proton therapy for mediastinal lymphoma.Physics and imaging in radiation oncology · 2026Article
- Article
- Pediatric CNS Radiation Oncology: Recent Developments and Novel Techniques.Current oncology (Toronto, Ont.) · 2025Review
- Review
- Parametric delineation uncertainties contouring (PDUC) modeling on CT scans of prostate cancer patients.Journal of applied clinical medical physics · 2023Article
- Evaluation of treatment planning system accuracy in estimating the stopping-power ratio of immobilization devices for proton therapy.Journal of applied clinical medical physics · 2023Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In intensity-modulated proton therapy, robust optimization processes have been developed to manage uncertainties associated with (1) range, (2) setup, (3) anatomic changes, (4) dose calculation, and (5) biological effects. Here we review our experience using a robust optimization technique that directly incorporates range and setup uncertainties into the optimization process to manage those sources of uncertainty. We also review procedures for implementing adaptive planning to manage the anatomic uncertainties. Finally, we share some early experiences regarding the impact of uncertainties in dose calculation and biological effects, along with techniques to manage and potentially reduce these uncertainties.
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Registered trials
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