Distribution of Terminal Lung and Liver Dose Rates in United States Transuranium and Uranium Registries Registrants



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56 th Annual Meeting of the Health Physics Society June 27, 2011, Palm Beach, FL Slide 1 Distribution of Terminal Lung and Liver Dose Rates in United States Transuranium and Uranium Registries Registrants Stacey L. McCord, Anthony C. James, Sergei Y. Tolmachev smccord@tricity.wsu.edu Learning from Plutonium and Uranium Workers

United States Transuranium and Uranium Registries Slide 2 Initiated in 1968 to use human data to verify biokinetic and dosimetric models. Consists of former nuclear workers (volunteer Registrants) who had accidental intakes of uranium and transuranium elements. Tissues are obtained at autopsy, preserved, and made available for future research. Tissues are radiochemically analyzed to determine organ content and activity concentration at the time of death.

Objective Slide 3 A status report on progress made toward determining the distribution of terminal dose rates in U.S. Transuranium and Uranium Registries (USTUR) registrants. Liver Lung

History of Study Slide 4 In ~2007, a high frequency of mesothelioma among USTUR registrants was observed. Data collection started in 2009.

USTUR: Registrant Status Slide 5 As of June 24 th, 2011 Total Active (Living) and Deceased Registrants: 413 Living Registrants: 82 Deceased Registrants: 334 Partial-body Donations: 291 Thorotrast (medical exposure) 3 331

Types of Data Collected Slide 6 Demographic (birthday, death date, race, sex) Time from Registration to Death Work History (hire date, termination date, years at a nuclear facility) Asbestos risk (qualitative categories: possibly/probably exposed, likely not exposed, not enough information to classify) Terminal Alpha Dose Rates (Liver, Lung) External Dose (lifetime, yearly) Tobacco Habits (ever smoked?) Causes of Death (Underlying + Up to Seven Contributing Causes)

Slide 7 Terminal Lung and Liver Dose Rates in USTUR Registrants 1. Starting Point: Average Activity Concentration, Bq/kg, in the Right Lung and half of the Liver. e.g. Conc Rt lung = Activity Rt lung /Mass Rt lung 241 Am, 238 Pu, 239/240 Pu, 234 U, 235 U, 238 U 2. Calculated Terminal Dose Rates (TDR), mgy/y, from the Activity Concentrations. Alpha only Absorbed Dose Rate Average Dose Rate 3. Total TDR = sum of individual radionuclide TDRs

Why Terminal Dose Rates? Slide 8 Calculated directly from the radiochemistry results (high degree of confidence in the data points). No modeling is involved. Uncertainties arise when applying models to calculate the total dose to an individual: Intake date, especially for multiple intakes. Solubility of the material (Nitrate? Oxide?) Limitations of the models themselves (e.g. Super S material).

Underlying Cause of Death Slide 9 The Centers for Disease Control (CDC)* defines Underlying Cause of Death as the disease or injury which initiated the train of morbid events leading directly or indirectly to death or the circumstances of the accident or violence which produced the fatal injury. 3 Underlying Causes of Death will be discussed: Liver Cancer Lung Cancers (non-mesothelioma) Mesothelioma Associated with Asbestos exposure not plutonium. * Instructions for Classifying the Underlying Cause-of-Death, ICD-10, 2011. http://www.cdc.gov/nchs/data/dvs/2a2011.pdf

Slide 10 Liver Cancer and Other Causes of Death by TDR Liver cancers occurred only in LOW α-dose cases (note log scale on abscissa). However Data are NOT age-adjusted

Slide 11 Mesothelioma and Other Lung Cancers by TDR Self-selection 16 of 42 donors who died from lung cancer registered with the USTUR less than 1 year prior to death. 2 were in mesothelioma cases. Data are not age adjusted.

Smoking Rates in Lung Cancer Cases Slide 12 30 25 20 15 10 5 Number of Smokers Among Lung Cancer Cases Completed smoking histories indicate: Mesothelioma: 63% smokers Non-mesothelioma lung cancer: 97% smokers Self-reported 0 Lung Cancer (nonmesothelioma) Mesothelioma Smoker Never Smoked Unknown

Possible Confounding Factors Slide 13 Asbestos exposure data is qualitative and sometimes subjective. Thus we may not be able to account for the contribution of asbestos to mesothelioma in USTUR Registrants. Self-selection 25% of USTUR registrants were registered <1 year prior to death.

Slide 14 Possible Confounding Factors (cont.) The National Death Index (NDI) is a central computerized index of death record information on file in the State vital statistics offices.* The NDI tends to underreport deaths due to mesothelioma. (They are often recorded as lung cancer.) If the USTUR s data were compared a database (such as the NDI) that under represents mesothelioma, the results could be misleading. CDC website: http://www.cdc.gov/nchs/data_access/ndi/about_ndi.htm

Slide 15 Possible Confounding Factors (cont.) Case # NDI* Cause of of Death 0013 Malignant Neoplasm, unspecified site 0084 No match 0256 Malignant Neoplasm, pleura 0648 Malignant Neoplasm, bronchus & lung unspecified site 0677 Malignant Neoplasm, unspecified site 0785 No match 1040 Malignant Neoplasm, pleura Mesothelioma Cases = 7 NDI* matches = 5 Mesothelioma Cases according to NDI = 2

Future Directions Slide 16 Calculate Terminal Dose Rates for other tissues such as the skeleton and lymph nodes. Ideally, apply biokinetic modeling techniques to calculate the cumulative alpha dose to the lung from urinalysis results, invivo measurements, and post-mortem radiochemistry results. Compare these results to the distribution of lung and liver cancers in the Pacific Northwest National Laboratory (PNNL) and Inhalation Toxicology Research Institute (ITRI) lifespan beagle dog studies. Carry out a statistical analysis of the presented data to confirm the finding that alpha dose does not cause excess lung cancer or liver cancer in USTUR registrants.

Disclaimer: This presentation was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. Slide 17