Stochastic Effects of Radiation



To try and give some perspective of stochastic health effects, think of it as getting struck by lightning, or winning the lottery. Getting struck by lightning is a stochastic effect of being outdoors. Flying a kite during a lightning storm will increase your probability of being struck, but even then it cannot be predicted for certain that this will happen. Occasionally, lightning strikes when there is no storm. The national weather service reported 28 lightning fatalities in 2012 in the US. According to the National Lightning Safety Institute, your chances of being struck by lightning are 1 in 280,000. Winning the lottery is a stochastic effect of playing the lottery. According to lottery officials, the odds of winning the Mega Millions jackpot are about 1 in 176 million, making winning the lottery very unlikely for an individual.

Zippy Vonier of Thomasville, Georgia bought a quick pick ticket years ago. Then he kept playing those numbers over and over again, week after week, year after year. On November 27, 2012, Zippy’s numbers matched the winning numbers for the Mega Millions jackpot. He won $50 million.

A stochastic effect is a random effect. In probability theory, a stochastic process can not be determined. What happens will be caused by the system’s predictable actions and also by a random element. Stochastic effect, or “chance effect” is one classification of radiation effects that refers to the random, statistical nature of the damage. In contrast to the deterministic effect, severity is independent of dose. Only the probability of an effect increases with dose. Stochastic effects linked to radiation exposure include cancer, leukemia, and genetic effects. Stochastic effects often show up years after exposure
Statistical math can give us an idea of what our chances are, and we can see from historic evidence how some things can change those odds, but we can’t know for certain if, when, or how these effects will occur.

Dead mans hand

The poker hand held by Wild Bill Hickok at the time of his death. In the game of poker, two black Aces, two black 8s and the Queen of clubs is called the dead man’s hand. Legend has it that this is a predictor of imminent death for the person holding the cards. Odds are 1 in 2,598,960 that a person would be dealt that hand.


As the radiation dose to an individual increases, the probability that a stochastic effect will occur also increases. Like buying more lottery tickets. However, at no time, even for high doses, is it 100% certain that stochastic effects like cancer or genetic damage will result. Similarly, the same stochastic effects can occur in individuals that have not been exposed to radiation above background levels. Therefore, it can never be determined for certain that an occurrence of cancer or genetic damage was due to a specific exposure. Cancer is a stochastic effect of radiation, meaning that the probability of occurrence increases with effective radiation dose, but the severity of the cancer is independent of dose. The speed at which cancer advances, the prognosis, the degree of pain, and every other feature of the disease are not functions of the radiation dose to which the person is exposed. Buying more lottery tickets won’t change the jackpot. This contrasts with the deterministic effects of acute radiation syndrome which increase in severity with dose above a threshold.

Perceiving one’s self as a statistical data point is something that’s impossible for human beings to do. This will be illustrated the next time you go out in a rainstorm to buy a lottery ticket. Although we understand the numbers and the meaning, numbers and statistics aren’t really meaningful to human beings. What matters are the individual human stories behind the numbers. Thus it is imperative that as radiologic technologists we make every effort practice ALARA on each and every patient.

lightning victim

Jesse Watlington, 11, was running onto the football field at South Florida Christian Academy in Ft. Myers Florida on October 3rd, 2012 when a lightning bolt struck him in the chest and exited through the heel of his foot. He was rushed to a local hospital, where paramedics revived him with CPR, then airlifted him to Tampa General Hospital where he passed away.


Read more about this and other subjects and get 12 Category A ARRT® CE Credits in the X-Ray CE Course “ALARA and Radiation Protection”

Radiation Protection
Read More

Get more information about x-ray continuing education here.

FAQs: Stochastic Effects of Radiation

Q: What are stochastic effects of radiation?
A: Stochastic effects of radiation are health effects that occur randomly and the probability of these effects occurring increases with the dose of radiation, but the severity of the effects does not depend on the dose. Common examples include cancer and genetic mutations.
Q: How do stochastic effects differ from deterministic effects?
A: Stochastic effects differ from deterministic effects in that stochastic effects have a probabilistic nature with no threshold level of radiation. Deterministic effects, on the other hand, have a threshold level, and the severity of these effects increases with the dose once the threshold is surpassed. Examples of deterministic effects include skin erythema and cataracts.
Q: What is the relationship between dose and stochastic effects?
A: The relationship between dose and stochastic effects is such that the probability of the effect occurring increases with the dose, but there is no threshold dose below which the effect will not occur. This means even low doses of radiation can potentially lead to stochastic effects, though the risk is lower.
Q: Why is it important to understand stochastic effects in radiography?
A: Understanding stochastic effects is crucial in radiography to ensure that radiation exposure is minimized as much as possible to reduce the risk of long-term health effects like cancer. It underscores the importance of adhering to the ALARA (As Low As Reasonably Achievable) principle in medical imaging.
Q: What are some examples of stochastic effects of radiation?
A: Examples of stochastic effects of radiation include the development of cancer, such as leukemia or thyroid cancer, and genetic mutations that can be passed on to future generations. These effects do not have a dose threshold and can occur at any level of radiation exposure.
Q: How can radiographers minimize the risk of stochastic effects for patients?
A: Radiographers can minimize the risk of stochastic effects by following best practices such as using the lowest possible radiation dose to achieve the necessary diagnostic quality, employing shielding where appropriate, and following protocols that limit repeat exposures. Educating patients about the risks and benefits of imaging procedures is also essential.