PMID- 20065672
OWN - NLM
STAT- MEDLINE
DCOM- 20100202
LR  - 20211020
IS  - 1538-5159 (Electronic)
IS  - 0017-9078 (Print)
IS  - 0017-9078 (Linking)
VI  - 98
IP  - 2
DP  - 2010 Feb
TI  - Current use and future needs of biodosimetry in studies of long-term health risk 
      following radiation exposure.
PG  - 109-17
LID - 10.1097/HP.0b013e3181a86628 [doi]
AB  - Biodosimetry measurements can potentially be an important and integral part of 
      the dosimetric methods used in long-term studies of health risk following 
      radiation exposure. Such studies rely on accurate estimation of doses to the 
      whole body or to specific organs of individuals in order to derive reliable 
      estimates of cancer risk. However, dose estimates based on analytical dose 
      reconstruction (i.e., models) or personnel monitoring measurements (i.e., film 
      badges) can have substantial uncertainty. Biodosimetry can potentially reduce 
      uncertainty in health risk studies by corroboration of model-based dose estimates 
      or by using them to assess bias in dose models. While biodosimetry has begun to 
      play a more significant role in long-term health risk studies, its use is still 
      generally limited in that context due to one or more factors including inadequate 
      limits of detection, large inter-individual variability of the signal measured, 
      high per-sample cost, and invasiveness. Presently, the most suitable biodosimetry 
      methods for epidemiologic studies are chromosome aberration frequencies from 
      fluorescence in situ hybridization (FISH) of peripheral blood lymphocytes and 
      electron paramagnetic resonance (EPR) measurements made on tooth enamel. Both 
      types of measurements, however, are usually invasive and require biological 
      samples that can be difficult to obtain. Moreover, doses derived from these 
      methods are not always directly relevant to the tissues of interest. To increase 
      the value of biodosimetry to epidemiologic studies, a number of issues need to be 
      considered, including limits of detection, effects of inhomogenous exposure of 
      the body, how to extrapolate from the tissue sampled to the tissues of interest, 
      and how to adjust dosimetry models applied to large populations based on sparse 
      biodosimetry measurements. The requirements of health risk studies suggest a set 
      of characteristics that, if satisfied by new biodosimetry methods, would increase 
      the overall usefulness of biodosimetry in determining radiation health risks.
FAU - Simon, Steven L
AU  - Simon SL
AD  - Division of Cancer Epidemiology and Genetics, National Cancer Institute, National 
      Institutes of Health, Bethesda, MD 20892, USA. ssimon@mail.nih.gov
FAU - Bouville, Andre
AU  - Bouville A
FAU - Kleinerman, Ruth
AU  - Kleinerman R
LA  - eng
GR  - Y03 CO5117/CO/NCI NIH HHS/United States
GR  - Y3-CO-5117/CO/NCI NIH HHS/United States
GR  - ImNIH/Intramural NIH HHS/United States
GR  - Y2-A1-5077/PHS HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, N.I.H., Intramural
PL  - United States
TA  - Health Phys
JT  - Health physics
JID - 2985093R
SB  - IM
MH  - Biological Assay/*methods/*trends
MH  - *Body Burden
MH  - Environmental Exposure/*analysis
MH  - *Forecasting
MH  - Humans
MH  - Needs Assessment
MH  - Risk Assessment/methods
MH  - Sensitivity and Specificity
MH  - Technology Assessment, Biomedical
MH  - Whole-Body Counting/*methods/*trends
PMC - PMC2806653
MID - NIHMS126843
EDAT- 2010/01/13 06:00
MHDA- 2010/02/03 06:00
PMCR- 2011/02/01
CRDT- 2010/01/13 06:00
PHST- 2010/01/13 06:00 [entrez]
PHST- 2010/01/13 06:00 [pubmed]
PHST- 2010/02/03 06:00 [medline]
PHST- 2011/02/01 00:00 [pmc-release]
AID - 00004032-201002000-00003 [pii]
AID - 10.1097/HP.0b013e3181a86628 [doi]
PST - ppublish
SO  - Health Phys. 2010 Feb;98(2):109-17. doi: 10.1097/HP.0b013e3181a86628.