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Health Risks of Ionizing Radiation: - Clark University

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86 <strong>Radiation</strong> Workers<br />

Figure 6-14. A facility at Hanford for treating persons<br />

injured by embedded radioactive particles (circa 1967). In<br />

this shielded operating cell, a mock patient is flanked by a<br />

surgeon (right) and a radiation monitor (left) (www.eh.doe.<br />

gov/.../photos/handord/fig1.html).<br />

internal and external radiation exposure.<br />

Pooled international data. Cardis et al. (1995)<br />

pooled data from the Canadian, UK and US cohorts.<br />

This combined cohort <strong>of</strong> 95,673 workers included<br />

fewer Canadian workers (11,355) than the analyses<br />

<strong>of</strong> Asmore et al. (1998) and Sont et al. (2001), but<br />

included virtually the entire cohorts analyzed by<br />

Gilbert et al. (1993) and Carpenter et al. (1994,<br />

1998). In the combined group there were significant<br />

trends with dose for leukemia, multiple myeloma and<br />

uterine cancer 34 . There was also a significant doseresponse<br />

trend for noncancer circulatory disease.<br />

The pooled estimates <strong>of</strong> risk for leukemia and solid<br />

cancer (all cancer except leukemia) were 1.55/Sv<br />

(90% CI –0.2-4.7) and –0.07 (90% CI –0.4-0.3). The<br />

central estimate for solid cancer risk from the threecountry<br />

cohort is negative and the upper confidence<br />

limit is less than the atomic bomb survivors estimate<br />

<strong>of</strong> 0.47/Sv (Preston et al. 2003). The leukemia risk<br />

by subtype is shown in Table 6-1 and is discussed<br />

further below.<br />

6.5 Discussion<br />

The studies reviewed in this section paint a variety<br />

34 The estimated ERR <strong>of</strong> multiple myeloma was 4.2/Sv (90% CI 0.3-14.4).<br />

<strong>of</strong> pictures, and this variety can be partly explained<br />

by differences in the analytical methods that were<br />

employed by the authors. This is particularly true<br />

in the case <strong>of</strong> Hanford; utilizing basically the same<br />

data pool Gilbert et al. (1993) found no significant<br />

evidence <strong>of</strong> heath risks aside from multiple<br />

myeloma while Kneale and Stewart (1993) found<br />

risks greater than would be expected based on the<br />

atomic bomb survivor data and also detected an<br />

increased sensitivity in association with exposure at<br />

older ages.<br />

Perhaps more important than methodological<br />

differences are differences among facilities. The<br />

range <strong>of</strong> radiological and chemical exposures that<br />

workers experience depends on the type <strong>of</strong> activity<br />

a facility is engaged in; some workers experience<br />

external exposure to gamma radiation and other<br />

workers inhale one or more radionuclides. In<br />

addition, exposure monitoring has varied by<br />

facility and over time. Interpreting the results <strong>of</strong><br />

facility-specific studies is complicated by these real<br />

differences and is further complicated by the role<br />

<strong>of</strong> chance and small numbers <strong>of</strong> workers at risk. In<br />

general, inconsistencies are expected and individual<br />

results should be judged in a broader context.<br />

The kidney cancer mortality results from a few<br />

<strong>of</strong> the studies described above provide a useful<br />

illustration. Dupree-Ellis et al. (2000) reported that<br />

there was a significantly positive dose-response trend<br />

for kidney cancer mortality among Mallinckrodt<br />

Chemical Works workers. This was based on ten<br />

deaths and had wide a confidence interval (ERR<br />

10.5/Sv, 0.6-57.4). Omar et al. (1999), on the other<br />

hand, reported the reverse relationship in Sellafield<br />

workers. This study found a significantly negative<br />

dose-response relationship based on thirteen deaths.<br />

Follow-up time was very similar in these two studies<br />

(1942-1993 and 1947-1992) and so was mean dose<br />

(48 and 130 mSv), so something else must explain<br />

the difference in the results. This could be study<br />

design, although this would probably not result in<br />

such dramatic differences. But the difference could<br />

also be chance. Although Mancuso et al. (1977) and<br />

Loomis and Wolf (1996) found evidence suggesting<br />

a kidney cancer risk at Hanford and Oak Ridge,<br />

this result has not been confirmed in other studies.<br />

The international pooled workers study found no

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