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APPLICATION OF EPR TOOTH DOSIMETRY FOR VALIDATION OF THE CALCULATED EXTERNAL DOSES: EXPERIENCE IN DOSIMETRY FOR THE

E A Shishkina1,2, A Yu Volchkova1, D V Ivanov3,4

  • 1Biophys Lab, Urals Research Centre for Radiation Medicine (URCRM), 68-A Vorovsky Street, Chelyabinsk, Russia.

Radiation Protection Dosimetry
|December 19, 2018
PubMed
Summary

This study validates external dose calculations using Electron Paramagnetic Resonance (EPR) tooth dosimetry. Uncertainties in EPR dose measurements impact validation, especially at lower doses, necessitating statistical approaches for accurate TRDS-2016 prediction validation.

Keywords:
TRDSdosimetryelectron paramagnetic resonanceuncertaintyvalidation

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Area of Science:

  • Radiation Dosimetry
  • Paleodosimetry
  • Environmental Science

Background:

  • Electron Paramagnetic Resonance (EPR) tooth dosimetry is a method for reconstructing past radiation doses.
  • Accurate validation of dose calculation models, such as the TRDS-2016, is crucial for reliable retrospective dosimetry.
  • Uncertainties associated with natural and anthropogenic background radiation significantly influence EPR-derived external dose calculations.

Purpose of the Study:

  • To validate external doses calculated using the TRDS-2016 model by applying EPR tooth dosimetry.
  • To propagate uncertainties from various contributing factors in EPR-derived external dose measurements.
  • To assess the feasibility of validation methods based on statistical approaches, particularly for low-dose scenarios.

Main Methods:

  • Combining results from multiple previous studies to propagate uncertainties in EPR-derived external doses.
  • Calculating EPR-based external doses by subtracting background radiation contributions from total exposure.
  • Utilizing statistical methods to validate TRDS-2016 predictions against EPR measurements.

Main Results:

  • Overall uncertainties for doses greater than or equal to 500 mGy are comparable to measurement uncertainties (≤30%).
  • For doses below 500 mGy, uncertainties increase significantly as the EPR dose decreases, influenced by multiple factors.
  • Over 70% of individuals received external doses below 100 mGy with uncertainties exceeding 100%, highlighting the need for statistical validation.
  • Validation of TRDS-2016 predictions showed good convergence between group-averaged EPR doses and model calculations.

Conclusions:

  • Validation of dose calculation models like TRDS-2016, especially at low doses, requires statistical approaches due to high measurement uncertainties.
  • The uncertainty propagation method highlights the limitations of EPR dosimetry for precise low-dose reconstruction without statistical treatment.
  • TRDS-2016 predictions demonstrate good agreement with EPR-based doses when analyzed statistically, supporting its utility in retrospective dosimetry.