In-vivo dose determination in a human after radon exposure: proof of principle

Radon-222 is pervasive in our environment and the second leading cause of lung cancer induction after smoking while it is simultaneously used to mediate anti-inflammatory effects. During exposure, radon gas distributes inhomogeneously in the body, making a spatially resolved dose quantification necessary to link physical exposure conditions with accompanying risks and beneficial effects. Current dose predictions rely on biokinetic models based on scarce input data from animal experiments and indirect exhalation measurements of a limited number of humans, which shows the need for further experimental verification. We present direct measurements of radon decay in the abdomen and thorax after inhalation as proof of principle in one patient. At both sites, most of the incorporated radon is removed within similar to 3 h, whereas a smaller fraction is retained longer and accounts for most of the deposited energy. The obtained absorbed dose values were 1.5 +/- 0.3 mu Gy (abdomen, radon gas) and 1.1 +/- 0.4 mu Gy (thorax, radon and progeny) for a one-hour reference exposure at a radon activity concentration of 55 kBq m(-3). The accumulation of long-retained radon in the abdomen leads to higher dose values at that site than in the thorax. Contrasting prior work, our measurements are performed directly at specific body sites, i.e. thorax and abdomen, which allows for direct spatial distinction of radon kinetics in the body. They show more incorporated and retained radon than current approaches predict, suggesting higher doses. Although obtained only from one person, our data may thus represent a challenge for the barely experimentally benchmarked biokinetic dose assessment model.

Automated summary

Radon-222 is widely present in the environment and is the second leading cause of lung cancer after smoking. It is also used for anti-inflammatory effects. The distribution of radon in the body is not uniform, requiring spatially resolved dose quantification. Current dose predictions rely on limited animal data and indirect exhalation measurements, necessitating further experimental verification.