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HEMODOSE: A Biodosimetry Tool Based on Multi-type Blood Cell Counts

Peripheral blood cell counts are important biomarkers of radiation exposure. In this work, a simplified compartmental modeling approach is applied to simulate the perturbation of the hematopoiesis system in humans after radiation exposure, and HemoDose software is reported to estimate individuals’ a...

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Detalles Bibliográficos
Autores principales: Hu, Shaowen, Blakely, William F., Cucinotta, Francis A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482456/
https://www.ncbi.nlm.nih.gov/pubmed/26011498
http://dx.doi.org/10.1097/HP.0000000000000295
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author Hu, Shaowen
Blakely, William F.
Cucinotta, Francis A.
author_facet Hu, Shaowen
Blakely, William F.
Cucinotta, Francis A.
author_sort Hu, Shaowen
collection PubMed
description Peripheral blood cell counts are important biomarkers of radiation exposure. In this work, a simplified compartmental modeling approach is applied to simulate the perturbation of the hematopoiesis system in humans after radiation exposure, and HemoDose software is reported to estimate individuals’ absorbed doses based on multi-type blood cell counts. Testing with patient data in some historical accidents indicates that either single or serial granulocyte, lymphocyte, leukocyte, and platelet counts after exposure can be robust indicators of the absorbed doses. In addition, such correlation exists not only in the early time window (1 or 2 d) but also in the late phase (up to 4 wk) after exposure, when the four types of cell counts are combined for analysis. These demonstrate the capability of HemoDose as a rapid point-of-care diagnostic or centralized high-throughput assay system for personnel exposed to unintended high doses of radiation, especially in large-scale nuclear/radiological disaster scenarios involving mass casualties.
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spelling pubmed-44824562015-07-07 HEMODOSE: A Biodosimetry Tool Based on Multi-type Blood Cell Counts Hu, Shaowen Blakely, William F. Cucinotta, Francis A. Health Phys Papers Peripheral blood cell counts are important biomarkers of radiation exposure. In this work, a simplified compartmental modeling approach is applied to simulate the perturbation of the hematopoiesis system in humans after radiation exposure, and HemoDose software is reported to estimate individuals’ absorbed doses based on multi-type blood cell counts. Testing with patient data in some historical accidents indicates that either single or serial granulocyte, lymphocyte, leukocyte, and platelet counts after exposure can be robust indicators of the absorbed doses. In addition, such correlation exists not only in the early time window (1 or 2 d) but also in the late phase (up to 4 wk) after exposure, when the four types of cell counts are combined for analysis. These demonstrate the capability of HemoDose as a rapid point-of-care diagnostic or centralized high-throughput assay system for personnel exposed to unintended high doses of radiation, especially in large-scale nuclear/radiological disaster scenarios involving mass casualties. Lippincott Williams & Wilkins 2015-07 2015-06-05 /pmc/articles/PMC4482456/ /pubmed/26011498 http://dx.doi.org/10.1097/HP.0000000000000295 Text en Copyright © 2015 Health Physics Society
spellingShingle Papers
Hu, Shaowen
Blakely, William F.
Cucinotta, Francis A.
HEMODOSE: A Biodosimetry Tool Based on Multi-type Blood Cell Counts
title HEMODOSE: A Biodosimetry Tool Based on Multi-type Blood Cell Counts
title_full HEMODOSE: A Biodosimetry Tool Based on Multi-type Blood Cell Counts
title_fullStr HEMODOSE: A Biodosimetry Tool Based on Multi-type Blood Cell Counts
title_full_unstemmed HEMODOSE: A Biodosimetry Tool Based on Multi-type Blood Cell Counts
title_short HEMODOSE: A Biodosimetry Tool Based on Multi-type Blood Cell Counts
title_sort hemodose: a biodosimetry tool based on multi-type blood cell counts
topic Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482456/
https://www.ncbi.nlm.nih.gov/pubmed/26011498
http://dx.doi.org/10.1097/HP.0000000000000295
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