RADIATION DOSE ESTIMATION BY COMPLETELY AUTOMATED INTERPRETATION OF THE DICENTRIC CHROMOSOME ASSAY.

Autor:	Li Y; CytoGnomix, Inc., POB 27052, 60 N. Centre Rd, London, ON, Canada., Shirley BC; CytoGnomix, Inc., POB 27052, 60 N. Centre Rd, London, ON, Canada., Wilkins RC; Health Canada, Environmental and Radiation and Health Sciences Directorate, Ottawa, ON, Canada., Norton F; Canadian Nuclear Laboratories, 286 Plant Rd, Chalk River, ON, Canada., Knoll JHM; CytoGnomix, Inc., POB 27052, 60 N. Centre Rd, London, ON, Canada.; Department of Pathology and Laboratory Medicine, University of Western Ontario, 1151 Richmond St., London, ON, Canada., Rogan PK; CytoGnomix, Inc., POB 27052, 60 N. Centre Rd, London, ON, Canada.; Department of Biochemistry, University of Western Ontario, 1151 Richmond St., London, ON, Canada.
Jazyk:	angličtina
Zdroj:	Radiation protection dosimetry [Radiat Prot Dosimetry] 2019 Dec 31; Vol. 186 (1), pp. 42-47.
DOI:	10.1093/rpd/ncy282
Abstrakt:	Accuracy of the automated dicentric chromosome (DC) assay relies on metaphase image selection. This study validates a software framework to find the best image selection models that mitigate inter-sample variability. Evaluation methods to determine model quality include the Poisson goodness-of-fit of DC distributions for each sample, residuals after calibration curve fitting and leave-one-out dose estimation errors. The process iteratively searches a pool of selection model candidates by modifying statistical and filter cut-offs to rank the best candidates according to their respective evaluation scores. Evaluation scores minimize the sum of squared errors relative to the actual radiation dose of the calibration samples. For one laboratory, the minimum score for the curve fit residual method was 0.0475 Gy2, compared to 1.1975 Gy2 without image selection. Application of optimal selection models using samples of unknown exposure produced estimated doses within 0.5 Gy of physical dose. Model optimization standardizes image selection among samples and provides relief from manual DC scoring, improving accuracy and consistency of dose estimation. (© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)
Databáze:	MEDLINE
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