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Related Concept Videos

Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

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The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
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Propagation of Uncertainty from Random Error00:59

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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Related Experiment Video

Updated: Jul 30, 2025

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

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Tissue-specific range uncertainty estimation in proton therapy.

Casper Dueholm Vestergaard1, Ludvig Paul Muren1, Ulrik Vindelev Elstrøm1

  • 1Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.

Physics and Imaging in Radiation Oncology
|May 14, 2023
PubMed
Summary
This summary is machine-generated.

Tissue-specific uncertainties in proton therapy improve range margin accuracy compared to fixed uncertainties. This study quantifies these differences, suggesting tailored margins for better treatment precision.

Keywords:
Patient specific range uncertaintyProton range uncertaintyProton therapyTreatment planning

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Biomedical Engineering

Background:

  • Proton therapy's sensitivity to range uncertainties necessitates accurate margin calculations.
  • Current methods often use tissue-independent uncertainties, which may not reflect actual variations.
  • Tissue-specific uncertainties in stopping power ratio (SPR) have been proposed to improve accuracy.

Purpose of the Study:

  • To compare range margins derived from tissue-specific SPR uncertainties versus fixed (tissue-independent or composite) uncertainties.
  • To quantify tissue-specific SPR uncertainties across different tissue densities (low, medium, high).
  • To evaluate the impact of these different uncertainty approaches on clinical proton therapy plans.

Main Methods:

  • Calculated tissue-specific SPR uncertainties based on imaging, CT number, and SPR estimation for low, medium, and high-density tissues.
  • Developed four clinical proton therapy plans for different tumor sites.
  • Recomputed plans using both tissue-specific and fixed SPR uncertainties, comparing dose-volume histogram parameters for targets and organs-at-risk.

Main Results:

  • Quantified SPR uncertainties: 7.0% (low), 1.0% (medium), and 1.3% (high density).
  • Observed plan differences primarily near the target volume when comparing tissue-specific vs. fixed uncertainties.
  • Found that composite uncertainties better represented tissue-specific uncertainties than tissue-independent ones.

Conclusions:

  • Tissue-specific SPR uncertainties differ significantly across tissue densities, suggesting potential for more precise range margins in proton therapy.
  • While differences exist between tissue-specific and fixed uncertainty applications, a fixed uncertainty may suffice if appropriately scaled to the body region.
  • This research highlights the importance of considering tissue heterogeneity for optimizing proton therapy range margins.