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Updated: Jul 12, 2025

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
Published on: March 11, 2021
131I dose coefficients for a reference population using age-specific models.
Pradeep Kumar Singh1, Hemant Kumar Patni1, Rahul Roy1
1Internal Dosimetry Section, Radiation Safety Systems Division, Bhabha Atomic Research Centre, Trombay, Mumbai 400085, India.
This study estimates internal radiation doses from Iodine-131 (¹³¹I) exposure in the general public using age-specific biokinetic models. Results show dose coefficients are generally lower than previous estimates, with the thyroid being the primary contributor.
Area of Science:
- Radiological Physics and Dosimetry
- Internal Dosimetry
- Radiation Protection
Background:
- Accurate internal dose assessment for the public requires age-specific dose coefficients.
- Iodine-131 (¹³¹I) is a significant radionuclide in radiological assessments, necessitating precise biokinetic modeling.
Purpose of the Study:
- To estimate age-specific dose coefficients for ¹³¹I exposure in the general public.
- To calculate total nuclear disintegrations and S values for various source and target regions.
- To determine committed tissue equivalent doses and dose coefficients for different age groups.
Main Methods:
- Utilized age-specific biokinetic models for iodine and 10 paediatric reference computational phantoms.
- Performed Monte Carlo transport simulations using FLUKA code.
- Estimated total nuclear disintegrations (ã(rS,τ)), S values, committed tissue equivalent doses (HT(τ)), and dose coefficients (e(τ)).
Main Results:
- Thyroid source ã(rS,τ) values increase with age; S values decrease with age due to increased target mass.
- Committed tissue equivalent doses (HT(τ)) generally decrease with age.
- Ingestion dose coefficients are 63% higher than inhalation; thyroid contributes 96-99% to dose coefficients.
Conclusions:
- Estimated dose coefficients for ¹³¹I are lower than previous ICRP reference values.
- Derived values can improve internal dose estimations for public exposure scenarios involving ¹³¹I.
- Interpolation of dose coefficients allows accurate dose evaluation for ¹³¹I therapy or emergencies.
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