Abstract
Objective: The purpose of this paper is to review basic radiation biology and associated terminology to impart a better understanding of the importance of basic concepts of ionizing radiation interactions with living tissue. As health care workers in a field that utilizes ionizing radiation, nuclear medicine technologists are concerned about the possible acute and chronic effects of occupational radiation exposure. Technologists should have a clear understanding of what they are exposed to and how their safety could be affected. Furthermore, technologists should be knowledgeable about radiation effects so that they can adequately assuage possible patient fears about undergoing a nuclear medicine procedure. After reading this article, the nuclear medicine technologist will be familiar with: (a) basic radiation biology concepts; (b) types of interactions of radiation with living tissue, and possible effects from that exposure; (c) theoretical dose–response curves and how they are used in radiation biology; (d) stochastic versus nonstochastic effects of radiation exposure, and what these terms mean in relation to both high- and low-dose radiation exposure; and (e) possible acute and chronic radiation exposure effects.
- radiation biology
- radiation exposure
- stochastic radiation effects
- nonstochastic radiation effects
- acute radiation effects
- chronic radiation effects
BASIC RADIATION BIOLOGY CONCEPTS
Basic radiation biology concepts include the traditional assumptions of Bergonie and Tribondeau, who stated in 1906 that any cells that are immature, undifferentiated and actively dividing (i.e., stomach mucosa, basal layer of skin, stem cells) are more radiosensitive. They respond by exhibiting some effect from radiation exposure that causes cell injury or death. Cells that are mature, differentiated and not actively dividing (i.e., neurons) are more radioresistant. A cell that is radiosensitive would be more inclined to die after exposure to ionizing radiation than a radioresistant cell (1). Although new terms such as “more or less radioresponsive” are now being used, the basic tenets of their hypothesis hold true for living tissue reactions to ionizing radiation (2). Therefore, cells undergoing active mitosis are more likely to have an effect from ionizing radiation, and stem cells (bone marrow, stomach mucosa, germ layer of the skin) are much more radiosensitive than neurons, which either never replicate or do so very slowly. Experiments in fruit flies and mice have shown that the effects of ionizing radiation can cause mutations in progeny, but these mutations are not specific to radiation. Such mutations are similar to ones that have already been found to occur spontaneously in nature. Furthermore, the experiments showed that the effects of ionizing radiation depend on total dose and exposure rate. A large dose given in a short amount of time is more damaging than the same dose given over a longer period of time (3).
The interaction of radiation with cells is a probability function. Because cellular repair usually takes place, permanent damage will not necessarily result from an interaction of ionizing radiation with living tissue. Energy deposition to a cell occurs very quickly, in some 10−18 s, with the energy being deposited in the cell in a random fashion. All interactions happen on a cellular level, which in turn may affect the organ and the entire system. In addition, there is no unique cellular damage associated with radiation. Any damage to a cell due to radiation exposure may also happen due to chemical, heat, or physical damage. After radiation exposure to a cell, there is a latent period before any observable response. The latent period could be decades for low radiation doses, but only minutes or hours for high radiation exposure. These basic generalizations form the foundation on which radiation biology is based (4).
RADIATION INTERACTIONS WITH HUMAN CELLS
What happens in a cell when ionizing radiation interacts with it? There are really only 2 possibilities: direct interaction or indirect interaction in a cell.
Direct Interaction
In direct interaction, a cell’s macromolecules (proteins or DNA) are hit by the ionizing radiation, which affects the cell as a whole, either killing the cell or mutating the DNA (2). There are many target and cell survival studies that show that it is harder to permanently destroy or break double-stranded DNA than single-stranded DNA. Although humans have 23 pairs of double-stranded chromosomes, some cells react as if they contain single-stranded, nonpaired chromosomes and are more radiosensitive. Many different types of direct hits can occur, and the type of damage that occurs determines whether or not the cell can repair itself. Generally, if a direct hit causes a complete break in the DNA or some other permanent damage, the cell dies immediately or will die eventually (5). However, humans have an abundance of cells and somatic cellular reproduction (mitosis) is always occurring to replace cells that die. Therefore, it is only when this system of replacing cells falters that radiation effects are seen. This occurs at higher doses of radiation.
Actively dividing cells are more radiosensitive than nondividing cells. There are 4 phases of mitosis: M Phase, in which cells divide in 2; G1 Phase (gap one), in which cells prepare for DNA replication; S Phase, in which DNA doubles by replication; and G2 Phase (gap two), in which cells prepare for mitosis. Of these, M phase, in which the chromosomes are condensed and paired, is the most radiosensitive. More DNA is present in one area at this point in the cycle, which is why it is theorized that this is the most radiosensitive time. It is also thought that increased chromatin in cancer cells is why these cells, which have unusually high mitotic rates, are more radiosensitive than normal cells (6).
Indirect Interaction
The other type of interaction is indirect cellular interaction. Indirect interaction occurs when radiation energy is deposited in the cell, and the radiation interacts with cellular water rather than with macromolecules within the cell. The reaction that occurs is hydrolysis of the water molecule, resulting in a hydrogen molecule and hydroxyl (free radical) molecule. If the 2 hydroxyl molecules recombine, they form hydrogen peroxide, which is highly unstable in the cell. This will form a peroxide hydroxyl, which readily combines with some organic compound, which then combines in the cell to form an organic hydrogen peroxide molecule, which is stable. This may result in the loss of an essential enzyme in the cell, which could lead to cell death or a future mutation of the cell (Table 1) (5). Antioxidants, about which there has been much research and publicity, block hydroxyl (free radical) recombination into hydrogen peroxide, preventing stable organic hydrogen peroxide compounds from occurring. This is one way in which the body can defend itself from indirect radiation interactions on a cellular level, and is one reason that antioxidants have received so much attention recently as a cancer prevention agent (7).
CELLULAR INJURY
There are 3 ways for cellular injury to occur after ionizing radiation exposure. They are: 1) division delay, with dose-dependent delay in cell division; 2) reproductive failure, when cells fail to complete mitosis either immediately or after one or more generations; and 3) interphase death, a relatively prompt death caused by the apoptosis mechanism. The last is seen most commonly with lymphocytes, although some cancer cells show apoptosis in response to radiation.
In division delay, mitotic division is delayed but later returns to near normal for unknown reasons. This is seen in doses greater than 0.5Gy (50 rads) up to approximately 3 Gy (300 rads). This is the first observable effect from ionizing radiation exposure. At more than 3 Gy (300 rads), the mitotic rate does not recover and the division may never happen, thus killing the cell.
Reproductive failure of a cell is based on the dose. At levels at or below 1.5 Gy (150 rads), reproductive failure is random and nonlinear. At doses above 1.5 Gy (150 rads), it is linear and nonrandom. As dose increases, so does reproductive death.
In interphase death, cell death can occur many generations from the initial radiation exposure. It is thought that this is either a natural process of aging cells (apoptosis), or that a critical mechanism of cell replication has been altered. It depends on the type of cell affected and the dose to the cell. Generally, rapidly dividing, undifferentiated cells exhibit interphase death at lower doses than nondividing, differentiated cells.
Any of these types of cellular injury can happen as a result of either direct or indirect cellular interactions with radiation (5).
DOSE–RESPONSE MODELS
There are many different theoretical types of dose– response models used to explain the effects of radiation exposure. Different models suggest different possibilities of response to radiation exposure. These range from linear–no threshold, which suggests any exposure (even background radiation) is harmful, to the possibility that low-dose radiation exposure is beneficial (radiation hormesis). Three dose–response models used in radiation biology are: 1) linear–no threshold, 2) linear–threshold, and 3) linear quadratic. These dose–response models are used to extrapolate high-dose effects (which are known) to the low-dose range (which has not been reliably detected) (Fig. 1).
Linear–No Threshold Model
For any known carcinogen at any level of exposure (i.e., benzene, asbestos, high-dose radiation) a linear–no threshold dose–response model is used across all industries. This model states that any radiation exposure, no matter how small, can induce cancer. While this is a possibility, generally no clinical effects are seen below approximately 0.5 Gy (50 rads). The linear–no threshold dose–response model is used for regulatory purposes, whenever a xenobiotic or other carcinogenic agent is known at any dose level (9).
At high doses, or more than 0.5 Gy (50 rad), clinical symptoms of radiation start to appear; at much higher doses, radiation exposure is clearly a known carcinogen, primarily due to its mutagenic effect on cells. The greatest association is with leukemia (8). However, it is difficult to say that any cancer is solely caused by radiation exposure, as cancer may be caused by a combination of factors. Because it is best to err on the side of caution, the “as low as reasonably achievable” (ALARA) principle and the linear–no threshold dose–response model are used.
Linear–Threshold Model
The linear–threshold dose–response model consists of a known threshold below which no effects are seen. At the threshold level, effects are noticeable and increase linearly as the dose increases. This is the dose–response model that may make the most sense to use, because it is generally accepted that there are no clinical effects seen from radiation exposure at or below 0.5 Gy (50 rads). In 1996, the Health Physics Society released the following position statement on low-level radiation (10): “In accordance with current knowledge of radiation health risks, the Health Physics Society recommends against quantitative estimation of health risks below an individual dose of 0.05 Sv (5 rem) in one year, or a lifetime dose of 0.1 Sv (10 rem) in addition to background radiation. Risk estimation in this dose range should be strictly qualitative accentuating a range of hypothetical health outcomes with an emphasis on the likely possibility of zero adverse health effects. The current philosophy of radiation protection is based on the assumption that any radiation dose, no matter how small, may result in human health effects, such as cancer and hereditary genetic damage. There is substantial and convincing scientific evidence for health risks at high dose. Below 0.1 Sv (10 rem) (which includes occupational and environmental exposures) risks of health effects are either too small to be observed or are nonexistent.” Although this position statement suggests levels 5-fold less for clinical effects, it still indicates that a threshold does exist to a certain degree in radiation exposure. This statement favors a linear–threshold dose–response model with a threshold of 0.1 Sv (10 rems).
Linear Quadratic Model
The linear quadratic dose–response model is used for overall human response to radiation exposure. Response at low levels of radiation exposure are linear, while higher doses are quadratic. There is no threshold in this dose–response model. In cell survival theories, the linear quadratic dose–response model is used to represent the multiple target/single hit theory. This theory best explains the reaction of human cells to ionizing radiation exposure.
Summary of Dose–Response Models
It is important to remember that for all dose–response models, the dose makes the poison. Perhaps this is best stated by Paracelsus, who is considered the father of toxicology: “All substances are poisons; there is none which is not a poison. The right dose differentiates a poison from a remedy.” (11) Generally, as the dose increases, response increases to a toxic point; in other words, anything in excess can be toxic. Radiation dose–response models vary depending on what is being analyzed. It is important to remember that there is evidence to suggest a possible threshold for radiation exposure that would favor the linear–threshold dose–response model. Also, any dose–response model for radiation in the lower levels is extrapolated from what is known at high-dose levels. Thus, any lower level response from radiation is only theorized, not proven. The only accepted dose–response model by the Nuclear Regulatory Commission (NRC) is the linear–no threshold dose–response model, which suggests that any radiation exposure can lead to cancer induction.
STOCHASTIC VERSUS NONSTOCHASTIC EFFECTS OF RADIATION EXPOSURE
Stochastic means random in nature. There is a statistical accounting for all diseases that could be caused by any of several different xenobiotics or carcinogens; any random occurrence of a disease that cannot be attributed solely to radiation is stochastic in nature. As far as cancer is concerned, it is extremely difficult to say whether a particular cancer is attributable to a specific exposure because most cancers have a 20-y latency period from exposure to manifestation. Therefore, chronic low-dose radiation exposure effects are seen as stochastic in nature. At diagnostic levels, where doses are low, stochastic effects are random and the odds of having any effect are extremely low. A few people may experience an effect from the radiation exposure, but this cannot be predicted. Radiation risks from diagnostic imaging are considered to be stochastic in nature. Also, heredity effects and carcinogenesis are considered to be stochastic in nature (5).
Ionizing radiation at high doses causes certain specific effects. Therefore, at certain doses, certain predictable outcomes can be determined. These are called nonstochastic, or deterministic, effects. These effects are very predictable and range from blood and chromosome aberrations to radiation sickness to certain death, depending on the dose, the dose rate, age, immune capacity of an individual, and type of radiation exposure.
For gamma and x-ray radiation, exposure measured in Grays and Sieverts (rads and rems) is equal; however, this is not true of neutron radiation, or when the quality factor is greater than 1 for the conversion between rads and rems. Nonstochastic (deterministic) effects include: hematologic syndrome (pancytopenia), erythema, gastrointestinal (GI) syndrome (radiation sickness) and central nervous system (CNS) syndrome (Table 2).
One concept used to gauge toxicity is that of the lethal dose to 50% of the population (LD50) exposed to the agent observed at a specific time. The LD50 at 30 d (LD50/30) for humans due to ionizing radiation exposure is approximately 2.5 Gy–4.5 Gy (250–450 rad). This estimate for humans varies between different sources and is primarily empirical. Therefore, concrete data are not available. In other organisms, the LD50/30 factor has been established through experiments (Table 3) (5).
ACUTE VERSUS CHRONIC EFFECTS
Acute Radiation Effects
Acute ionizing radiation exposure is “harmless” at background or diagnostic levels, but is nonstochastic and harmful at high-dose levels. At or above approximately 0.5 Gy (50 rads), acute effects are predictable and follow a linear path. Some chromosome aberrations may be seen under a microscope at or below 0.5 Gy (50 rads), but no clinical symptoms have been found to manifest from this observation. However, this can be used as a bioassay technique years after an acute exposure. Table 4 shows the generally accepted acute effects and symptoms these dose ranges can be expected to manifest (8). There is a sequelae of acute ionizing radiation exposure from which certain well-defined syndromes can be expected (Table 5) (5).
In radiation therapy, acute nonstochastic effects of radiation exposure include radiation fibrosis in the lung when normal lung tissue is exposed. Other tissues that show effects are the kidney, brain and spinal cord. Because tissue injury is known to occur if a certain threshold is exceeded, there are well-established guidelines in radiotherapy to avoid exceeding a specific dose (12).
Chronic Radiation Effects
Chronic effects of ionizing radiation exposure are primarily stochastic. The chief concern is possible cancer induction. However, noncancerous effects are possible, such as cataract formation in the eye. This would be a possible stochastic chronic effect with a probability that increases with increasing dose. Radiation doses of 500–800 R directed at the lens of the eye can cause formation of cataracts. At lower doses, damage is similar to senile cataracts, but is less severe. Another possible chronic stochastic effect is shortening of the life span. Although there is no conclusive evidence of such, it is theorized in some literature (8).
Leukemia has been associated as a stochastic effect of chronic radiation exposure with doses as low as 50–100 cGy (50–100 rads). Between 100–500 cGy (100–500 rads), there is a linear correlation between dose and leukemia incidence. Data suggest that incidence of leukemia increases at a rate of 1–2 cases per million per year per cGy (1 rad) as a result of exposure. There is an average latency period of 14 y from exposure to onset of disease. Higher doses of ionizing radiation have also been associated with thyroid, bone, lung, and various other cancers (8).
Interestingly, there is no conclusive evidence that chronic low-dose radiation exposure causes any long-term ill health effects in workers in the medical field (13). Furthermore, there is no evidence to suggest that regular background amounts of radiation exposure cause any long-term effects. Table 6 indicates the average annual effective dose equivalent of ionizing radiation to a member of the U.S. population. Relative to the amounts of radiation that elicit a known response, these levels are low. Likewise, the amounts of whole-body doses of radiation that patients receive from various nuclear medicine procedures are low, as seen in Table 7. Technologists should monitor their radiation dosimetry reports to track their own occupational exposure. However, technologists that stay below the accepted occupational dose limits should not expect to experience any ill effects.
CONCLUSION
This brief synopsis of radiation biology is intended as a review of radiation biology terminology and concepts. Unfortunately, conclusive information is elusive at the low-dose levels of radiation exposure that technologists encounter. Stochastic low-dose radiation exposure effects are only theorized from extrapolating data from known responses of high-dose radiation exposure. High-dose radiation effects are well-established and follow nonstochastic (deterministic) responses. In the safety industry, protection of personnel working with known carcinogens is paramount. The radiation industry is no different than other industries that have threshold limit values (TLVs) and biological exposure indices (BEIs) for worker exposure. These allowed limits offer a guideline for acceptable exposure, below which no ill effects are expected. In the radiation industry, these are known as total effective dose equivalents (TEDEs) (Table 8).
Radiation biology is a diverse field that covers many areas of knowledge, including cell biology, chemistry, radiation physics, human physiology, radiation safety, epidemiology, biostatistics and toxicology. Information about this topic continues to evolve as more knowledge is obtained about ionizing radiation interactions with cells. It can be confusing to delve into radiation biology without understanding the basic concepts outlined in this article. Be aware that this overview barely begins to discuss all of the information available about radiation biology.
Footnotes
For correspondence or reprints contact: Norman E. Bolus, Assistant Professor, UAB, LRC Building, Rm. 371-A, 1714 Ninth Avenue South, Birmingham, Alabama, 35294-1270; Phone: 205-934-2004; Fax: 205-975-7302; E-mail: Bolusn{at}shrp.uab.edu.