Radiation Dose Estimation by Automated Cytogenetic Biodosimetry

Area of Science:

• Radiation Biology
• Biodosimetry
• Computational Biology

Background:

• Accurate radiation dose assessment is critical for medical response following radiation exposure.
• Manual scoring of dicentric chromosomes (DCs) for biodosimetry is time-consuming and subjective.
• There is a need for automated, accurate methods for biodosimetry calibration curve generation and dose estimation.

Purpose of the Study:

• To present the Automated Dicentric Chromosome Identifier (ADCI) software for fully automated biodosimetry.
• To evaluate ADCI's accuracy in generating calibration curves and estimating radiation dose from exposed samples.
• To assess ADCI's potential for rapid response in mass casualty radiation incidents.

Main Methods:

• ADCI software was developed to detect and discriminate dicentric chromosomes (DCs) from monocentric chromosomes.
• The software computes biodosimetry calibration curves and estimates radiation dose.
• Metaphase cell images from samples exposed at 1.4-3.4 Gy were reanalyzed using ADCI after manual scoring by reference laboratories.

Main Results:

• ADCI successfully detected and discriminated dicentric chromosomes.
• Estimated exposures using ADCI were within 0.4-1.1 Gy of the physical dose, comparable to manual scoring.
• Calibration curves were generated in ~10 hours, and dose estimations took ~0.8 hours per 500 images.

Conclusions:

• ADCI provides accurate radiation dose estimations, achieving accuracies comparable to standard triage biodosimetry.
• The automated nature of ADCI significantly reduces analysis time for biodosimetry.
• ADCI is a promising tool for rapid biodosimetry and effective response to mass casualty radiation events.