APPLICATION OF NCRP 156 WOUND MODELS FOR THE ANALYSIS OF BIOASSAY DATA FROM PLUTONIUM WOUND CASES

被引:10
|
作者
Poudel, Deepesh [1 ]
Guilmette, Raymond A. [2 ]
Klumpp, John A. [1 ]
Bertelli, Luiz [1 ]
Waters, Tom L. [1 ]
机构
[1] Los Alamos Natl Lab, Radiat Protect Div, Los Alamos, NM 87545 USA
[2] Ray Guilmette & Associates LLC, Perry, ME USA
来源
HEALTH PHYSICS | 2017年 / 113卷 / 03期
关键词
biokinetics; dosimetry; internal; excretion; urinary; plutonium; URINE DATA; EXCRETION; MANAGEMENT;
D O I
10.1097/HP.0000000000000694
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The NCRP 156 wound model was heavily based on data from animal experiments. The authors of the report acknowledged this limitation and encouraged validation of the models using data from human wound exposures. The objective of this paper was to apply the NCRP 156 wound models to the bioassay data from four plutonium-contaminated wound cases reported in the literature. Because a wide variety of forms of plutonium can be expected at a nuclear facility, a combination of the wound models-rather than a single model-was used to successfully explain both the urinary excretion data and wound retention data in three cases. The data for the fourth case could not be explained by any combination of the default wound models. While this may possibly be attributed to the existence of a category of plutonium whose solubility and chemistry are different than those described by the NCRP 156 default categories, the differences may also be the result of differences in systemic biokinetics. The concept of using a combination of biokinetic models may be extended to inhalation exposures as well, where more than one form of radionuclide-particles of different solubility or different sizes-may exist in a workplace.
引用
收藏
页码:209 / 219
页数:11
相关论文
共 50 条
  • [41] Animal models of chronic wound care: the application of biofilms in clinical research
    Trostrup, Hannah
    Thomsen, Kim
    Calum, Henrik
    Hoiby, Niels
    Moser, Claus
    CHRONIC WOUND CARE MANAGEMENT AND RESEARCH, 2016, 3 : 123 - 132
  • [42] A statistical analysis of murine incisional and excisional acute wound models
    Ansell, David M.
    Campbell, Laura
    Thomason, Helen A.
    Brass, Andrew
    Hardman, Matthew J.
    WOUND REPAIR AND REGENERATION, 2014, 22 (02) : 281 - 287
  • [44] Analysis of wound infection in one thousand consecutive clean operative cases
    Graves, WP
    BOSTON MEDICAL AND SURGICAL JOURNAL, 1910, 163 : 610 - 613
  • [45] Further Data on Wound Healing Rates After Application of Lucilia sericata
    Szczepanowski, Zbigniew
    Tukiendorf, Andrzej
    Krasowski, Grzegorz
    INTERNATIONAL JOURNAL OF LOWER EXTREMITY WOUNDS, 2021, 20 (01): : 47 - 54
  • [46] Animal models of wound healing: Lessons from the laboratory to the clinic
    Khaw, PT
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 1996, 37 (03) : 1953 - 1953
  • [47] Individual synthetic head models in wound ballistics - A feasibility study based on real cases
    Riva, Fabiano
    Lombardo, Paolo
    Zech, Wolf-Dieter
    Jackowski, Christian
    Schyma, Christian
    FORENSIC SCIENCE INTERNATIONAL, 2019, 294 : 150 - 159
  • [48] Uncertainties analysis for the plutonium dosimetry model, doses-2005, using mayak bioassay data
    Bess, John D.
    Krahenbuhl, Melinda P.
    Miller, Scott I. C.
    Slaughter, David M.
    Khokhryakov, Viktor V.
    Khokhryakov, Valentin F.
    Suslova, Klara G.
    Vostrotint, Vadirn V.
    HEALTH PHYSICS, 2007, 93 (03): : 207 - 219
  • [49] Systematic Review of the Application of Perinatal Derivatives in Animal Models on Cutaneous Wound Healing
    Pichlsberger, Melanie
    Jerman, Urska Dragin
    Obradovic, Hristina
    Tratnjek, Larisa
    Macedo, Ana Sofia
    Mendes, Francisca
    Fonte, Pedro
    Hoegler, Anja
    Sundl, Monika
    Fuchs, Julia
    Schoeberlein, Andreina
    Kreft, Mateja Erdani
    Mojsilovic, Slavko
    Lang-Olip, Ingrid
    FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2021, 9
  • [50] Integrative Analysis of Axolotl Gene Expression Data from Regenerative and Wound Healing Limb Tissues
    Sibai, Mustafa
    Parlayan, Cuneyd
    Tuglu, Pelin
    Ozturk, Gurkan
    Demircan, Turan
    SCIENTIFIC REPORTS, 2019, 9 (1)