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A feasibility study to reduce misclassification error in occupational dose estimates for epidemiological studies
Sarah Kim1, Lienard Chang1,2, Elizabeth Mosher1
1Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD 20850.
IEEE Transactions on Radiation and Plasma Medical Sciences
|November 28, 2019
Summary
Accurate organ dose estimation in radiation studies requires accounting for individual body size. Using body size-dependent coefficients, rather than standard reference phantoms, significantly improves radiation dose accuracy for organ dosimetry.
Area of Science:
- Medical Physics
- Radiological Dosimetry
- Epidemiological Research
Background:
- Organ dose coefficients are crucial for epidemiological studies like the United States Radiologic Technologists (USRT) study.
- Current coefficients rely on reference-sized computational phantoms, neglecting body size variations.
- This can lead to inaccurate organ dose estimations in radiological assessments.
Purpose of the Study:
- To develop and validate body size-dependent organ dose coefficients.
- To compare the accuracy of these new coefficients against standard reference coefficients.
- To assess the impact of body size variations on organ dose calculations in radiological studies.
Main Methods:
- Calculated preliminary body size-dependent organ dose coefficients using Monte Carlo radiation transport methods and body size-dependent phantoms.
- Validated these coefficients by comparing them with standard International Commission on Radiological Protection (ICRP) 74 reference size coefficients.
- Computed individual-specific organ dose coefficients from computed tomography (CT) image-based anatomical models of five adult males using Monte Carlo methods.
Main Results:
- Standard reference size dose coefficients underestimated patient-specific dose coefficients by up to 51%.
- Body size-dependent phantoms yielded more accurate organ dose coefficients for the studied patients.
- For the esophagus, the dose underestimation decreased from 51% to 7% when using body size-dependent coefficients.
Conclusions:
- Body size-dependent organ dose coefficients significantly improve the accuracy of radiation dose estimations.
- Utilizing body size-dependent coefficients resolves potential dosimetric misclassification issues caused by reference phantom-based data.
- This approach enhances the reliability of health effect assessments in epidemiological studies involving radiation exposure.
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