ZIA CP010133 10717 (ZIA) | |||
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Title | Cataract after low dose and low dose rate exposure | ||
Institution | NCI, Bethesda, MD | ||
Principal Investigator | Little, Mark | NCI Program Director | N/A |
Cancer Activity | N/A | Division | DCEG |
Funded Amount | $16,720 | Project Dates | null - null |
Fiscal Year | 2018 | Project Type | Intramural |
Research Topics w/ Percent Relevance | Cancer Types w/ Percent Relevance | ||
Biochemical Epidemiology (45.0%) Cancer (100.0%) Diabetes (5.0%) |
Eye (100.0%) | ||
Research Type | |||
Resources and Infrastructure Related to Detection, Diagnosis, or Prognosis Resources and Infrastructure Related to Treatment and the Prevention of Recurrence |
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Abstract | |||
There is reasonably consistent evidence of excess risk of both posterior subcapsular cataract (PSC) and cortical cataracts (CC) associated with radiation exposure. In general nuclear cataracts (NC) appears not to be radiation related. There are some indications of a threshold in dose response, in agreement with the ICRP classification of cataract as a tissue reaction (or deterministic) effect. However, there is little evidence of curvature in dose response, and the threshold dose of 0.5 Gy suggested by ICRP appears to be bordering on inconsistency with the findings in a number of datasets, in particular the Chernobyl liquidators. The purpose of this project is to improve our understanding of cataract risk in relation to radiation exposure at moderate and low doses. In most component cohorts there are individual estimates of radiation dose to the eye lens. The component studies will together allow determination of modifying effects of age at exposure and time since exposure, as well as assessing possible differential effects (e.g., in the magnitude and shape of the dose response) by the main cataract subtypes (posterior subcapsular, nuclear, cortical). We plan to analyze the data for all endpoints using a standardized approach for definition of outcomes and predictors across studies, so that we can address issues of variation in risk with host and radiation factors that could not be studied adequately using any single data set. |