Literature DB >> 21675819

Infrastructure to support ultra high throughput biodosimetry screening after a radiological event.

Guy Garty1, Andrew Karam, David J Brenner.   

Abstract

PURPOSE: After a large-scale radiological event, there will be a pressing need to assess, within a few days, the radiation doses received by tens or hundreds of thousands of individuals. This is for triage, to prevent treatment locations from being overwhelmed, in what is sure to be a resource limited scenario, as well as to facilitate dose-dependent treatment decisions. In addition there are psycho-social considerations, in that active reassurance of minimal exposure is a potentially effective antidote to mass panic, as well as long-term considerations, to facilitate later studies of cancer and other long-term disease risks.
MATERIALS AND METHODS: As described elsewhere in this issue, we are developing a Rapid Automated Biodosimetry Tool (RABiT). The RABiT allows high throughput analysis of thousands of blood samples per day, providing a dose estimate that can be used to support clinical triage and treatment decisions.
RESULTS: Development of the RABiT has motivated us to consider the logistics of incorporating such a system into the existing emergency response scenarios of a large metropolitan area. We present here a view of how one or more centralized biodosimetry readout devices might be incorporated into an infrastructure in which fingerstick blood samples are taken at many distributed locations within an affected city or region and transported to centralized locations.
CONCLUSIONS: High throughput biodosimetry systems offer the opportunity to perform biodosimetric assessments on a large number of persons. As such systems reach a high level of maturity, emergency response scenarios will need to be tweaked to make use of these powerful tools. This can be done relatively easily within the framework of current scenarios.

Entities:  

Mesh:

Year:  2011        PMID: 21675819      PMCID: PMC3169379          DOI: 10.3109/09553002.2011.583317

Source DB:  PubMed          Journal:  Int J Radiat Biol        ISSN: 0955-3002            Impact factor:   2.694


  28 in total

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6.  THE DECADE OF THE RABiT (2005-15).

Authors:  G Garty; H C Turner; A Salerno; A Bertucci; J Zhang; Y Chen; A Dutta; P Sharma; D Bian; M Taveras; H Wang; A Bhatla; A Balajee; A W Bigelow; M Repin; O V Lyulko; N Simaan; Y L Yao; D J Brenner
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