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RENEB Inter-Laboratory comparison 2017: limits and pitfalls of ILCs
Eric Gregoire1, Joan Francesc Barquinero2, Gaetan Gruel1
1Institut de Radioprotection et de Sûreté Nucléaire, Fontenay-aux-Roses, France.
This study shows that worldwide distribution of blood samples for biological dosimetry is feasible. However, current statistical tools need improvement for large inter-laboratory comparisons to accurately assess laboratory performance in radiological events.
Area of Science:
- Radiological protection
- Radiation biology
- Biodosimetry
Background:
- Networking biodosimetry laboratories is crucial for managing mass-casualty radiological events.
- Inter-laboratory comparisons (ILCs) are essential for harmonizing results and ensuring consistency.
- Previous projects like MULTIBIODOSE and RENEB have advanced European laboratory harmonization.
Purpose of the Study:
- To conduct a large-scale inter-laboratory comparison (ILC) involving 38 laboratories from 21 countries.
- To monitor all steps of the biodosimetry process, from blood shipment to dose estimation.
- To evaluate the statistical tools used for comparing laboratory performance.
Main Methods:
- Blood samples were irradiated at three doses (1.8, 0.4, and 0 Gy) using 4-MV X-rays.
- Samples were distributed to participating laboratories for blind analysis.
- Laboratories analyzed 500 cells per sample, reporting dicentric chromosome frequencies and estimated doses.
Main Results:
- Successful worldwide distribution of irradiated blood samples for biodosimetry was demonstrated.
- Existing statistical tools (Z- and U-tests) are inadequate for large ILCs with 500 cells/sample.
- Dose-effect curve diversity and lack of robustness criteria pose challenges for laboratory performance evaluation.
Conclusions:
- Development of improved statistical tools is necessary for processing large ILC results.
- Further optimization of laboratory networks and associated ILCs is needed for enhanced biodosimetry capabilities.
- Harmonization efforts within networks like RENEB are progressing towards better biodosimetry response.
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