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Updated: Jun 25, 2025

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Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
Published on: September 4, 2017
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LBDNet interlaboratory comparison for the dicentric chromosome assay by digitized image analysis applying weighted
Jorge Ernesto González Mesa1, Diego Alem Glison2, Fabio Andrés Chaves-Campos3
1Radiobiology Laboratory, Center for Radiation Protection and Hygiene (CPHR), La Habana, Cuba.
International Journal of Radiation Biology
|May 29, 2024
Summary
This study evaluated the Latin-American Biodosimetry Network's (LBDNet) performance in analyzing digitized dicentric chromosome images. Weighted robust algorithms improved accuracy, especially with varying laboratory expertise in biodosimetry.
Area of Science:
- Radiological Sciences
- Biomedical Imaging
- Cytogenetics
Background:
- Interlaboratory comparisons are crucial for validating biodosimetry techniques.
- Digital image analysis offers standardized methods for chromosome aberration scoring.
- Uneven expertise among laboratories can impact dose assessment accuracy.
Purpose of the Study:
- To assess the Latin-American Biodosimetry Network (LBDNet) performance in analyzing digitized dicentric chromosome images.
- To evaluate the effectiveness of weighted robust algorithms in standardizing dose estimations across laboratories with varying expertise.
- To compare dose estimations using individual versus common calibration curves.
Main Methods:
- Digitized images of dicentric chromosomes from irradiated blood samples (1.5 Gy and 4 Gy) and a control (0 Gy) were analyzed by LBDNet laboratories.
- Laboratories performed triage scoring, conventional scoring, and dose estimation using their own or a common calibration curve.
- Weighted robust Hampel algorithm and z-score analysis were employed to account for interlaboratory expertise differences.
Main Results:
- Dose estimations showed variability, with some laboratories performing unsatisfactorily at lower doses when using their own calibration curves.
- All doses were satisfactory at 4 Gy.
- Weighted algorithms reduced bias in dose estimation for non-irradiated samples, and a common calibration curve decreased the standard deviation of dose estimates.
Conclusions:
- Interlaboratory comparisons using digitized images are vital, even for non-irradiated samples.
- Weighted robust algorithms are essential for achieving precise biodosimetry outcomes when laboratory expertise varies.
- Standardized digital image analysis and robust statistical methods enhance the reliability of biodosimetry networks.

