title: Effective dose conversion coefficients for health care provider exposed to pediatric and adult victims in radiological dispersal device incident.
abstract: After an incident of radiological dispersal devices (RDD), health care providers will be exposed to the contaminated patients in the extended medical treatments. Assessment of potential radiation dose to the health care providers will be crucial to minimize their health risk. In this study, we compiled a set of conversion coefficients (mSv MBq(-1) s(-1)) to readily estimate the effective dose from the time-integrated activity for the health care providers while they deal with internally contaminated patients at different ages. We selected Co-60, Ir-192, Am-241, Cs-137, and I-131 as the major radionuclides that may be used for RDD. We obtained the age-specific organ burdens after the inhalation of those radionuclides from the Dose and Risk Calculation Software (DCAL) program. A series of hybrid computational phantoms (1-, 5-, 10-, and 15 year-old, and adult males) were implemented in a general purpose Monte Carlo (MC) transport code, MCNPX v 2.7, to simulate an adult male health care provider exposed to contaminated patients at different ages. Two exposure scenarios were taken into account: a health care provider (a) standing at the side of patients lying in bed and (b) sitting face to face with patients. The conversion coefficients overall depended on radionuclides, the age of the patients, and the orientation of the patients. The conversion coefficient was greatest for Co-60 and smallest for Am-241. The dose from the 1 year-old patient phantom was up to three times greater than that from the adult patient phantom. The conversion coefficients were less dependent on the age of the patients in the scenario of a health care provider sitting face to face with patients. The dose conversion coefficients established in this study will be useful to readily estimate the effective dose to the health care providers in RDD events.
authors.affiliation: Department of Radiation Oncology, University of Arkansas Medical Sciences, Little Rock, AR 72205, USA.
authors.forename: Eun Young
authors.initials: EY
authors.lastname: Han
authors.forename: Wi-Ho
authors.initials: WH
authors.lastname: Ha
authors.forename: Young-Woo
authors.initials: YW
authors.lastname: Jin
authors.forename: Wesley E
authors.initials: WE
authors.lastname: Bolch
authors.forename: Choonsik
authors.initials: C
authors.lastname: Lee
mesh_terms: D065638:Absorption, Radiation; D000328:Adult; D003198:Computer Simulation; D019548:Crime Victims / Q000706:statistics & numerical data; D006282:Health Personnel / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male; D015233:Models, Statistical; D016273:Occupational Exposure / Q000032:analysis / Q000706:statistics & numerical data*; D011829:Radiation Dosage; D018788:Radioactive Hazard Release / Q000706:statistics & numerical data*; D011874:Radiometry / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D023481:Terrorism