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. 2021 May 14;50(6):20210153. doi: 10.1259/dmfr.20210153

Radiobiological risks following dentomaxillofacial imaging: should we be concerned?

Niels Belmans 1,2,1,2, Anne Caroline Oenning 3, Benjamin Salmon 4,5,4,5, Bjorn Baselet 1, Kevin Tabury 1,6,1,6, Stéphane Lucas 7, Ivo Lambrichts 2, Marjan Moreels 1, Reinhilde Jacobs 8,9,8,9, Sarah Baatout 1,10,1,10,
PMCID: PMC8404518  PMID: 33989056

Abstract

Objectives:

This review aimed to present studies that prospectively investigated biological effects in patients following diagnostic dentomaxillofacial radiology (DMFR).

Methods:

Literature was systematically searched to retrieve all studies assessing radiobiological effects of using X-ray imaging in the dentomaxillofacial area, with reference to radiobiological outcomes for other imaging modalities and fields.

Results:

There is a lot of variability in the reported radiobiological assessment methods and radiation dose measures, making comparisons of radiobiological studies challenging. Most radiological DMFR studies are focusing on genotoxicity and cytotoxicity, data for 2D dentomaxillofacial radiographs, albeit with some methodological weakness biasing the results. For CBCT, available evidence is limited and few studies include comparative data on both adults and children.

Conclusions

In the future, one will have to strive towards patient-specific measures by considering age, gender and other individual radiation sensitivity-related factors. Ultimately, future radioprotection strategies should build further on the concept of personalized medicine, with patient-specific optimization of the imaging protocol, based on radiobiological variables.

Keywords: Dentomaxillofacial imaging Radiation risk, Genotoxicity, Cytotoxicity

Introduction

Ionizing radiation (IR) is ubiquitous in the environment and can be naturally occurring as well as man-made. It is well known that exposure to high doses of IR effect can cause health effects including tissue reactions, previously termed ‘deterministic effects’, and stochastic effects. Tissue reactions were observed almost immediately after the discovery of X-rays.1–3 They are associated with high doses of IR and occur over a short period of time (i.e. within hours up to a few weeks). For tissue reactions, a threshold dose exists, below which no IR effect has been detected.4 At low doses, which are defined as being lower than 100 milligrays (mGy), mostly stochastic effects occur. These stochastic effects (e.g. carcinogenesis) are observed over a longer period of time (i.e. months up to several years). For low doses, the uncertainty of the stochastic effects (e.g. radiation-induced cancer and hereditary disorders) increases.5 This increase is caused by a lack of statistical significance of the epidemiological data. Most of these data come from Japanese atomic bomb survivors, medically and occupationally exposed populations as well as environmentally exposed groups.6 For exposure to low doses, policymakers use models based on these epidemiological data.

Currently, the linear non-threshold (LNT) model is used to estimate stochastic effects involved in the low dose range. The LNT model assumes that there is no threshold dose below which no additional health risk occurs and that the risk increases linearly with the absorbed dose.7 However, it is not the only model for exposure to low doses of IR (Figure 1).8–11 Besides the LNT model, a threshold model exists, that suggests that the IR dose must exceed a certain threshold dose in order to initiate a biological response. Per definition, no effects are expected to occur when exposed to doses below the threshold dose. A third model, the hormetic model, suggests that low doses of IR could induce beneficial effects, resulting in a reduced risk.8 Finally, the hypersensitivity model assumes that due to hypersensitivity of cells to very low doses, the biological risks may be greater when exposed to low doses of IR.12 Thus far, evidence definitely proving or disproving these models is lacking. Although, epidemiological data support the LNT model for doses higher than 100 mGy, there is no clear consensus about which model to use in the low dose range due to a lack of supporting data.9–11,13,14

Figure 1.

Figure 1.

Graphical representation of the different models explaining the dose–response relationship in the low dose range. Four models are represented that show potential dose–response relationships for radiation exposure below 100 milliGray. The linear-no-threshold model (black line), the linear-threshold model (pink line), the hormetic model (green line) and the hypersensitivity model (red line). As depicted by the linear part of the curve, the effects associated with doses higher than 100 milliGray are well understood. Thanks to epidemiological data that are available from the Hiroshima and Nagasaki bombings, as well as the Chernobyl disaster.

Besides the models described in the previous paragraph, other biological phenomena could occur. One such phenomenon is the presumption that organisms can ‘adapt’ to IR exposure. This is called an adaptive response.15 Low doses are thought to elicit a biological response, which results in the activation of several genes/proteins that help the organism’s defence against a similar insult in the future. For example, after exposure to low doses of IR, detoxification of free radicals and the DNA repair systems could improve, as well as the antioxidant production and cell cycle regulation. All these processes will improve the organism’s defence against future IR exposure, thereby increasing its radioresistance.15,16

In order to accurately estimate radiation-induced health risks, it is important to know how much energy or which dose is absorbed by the human body and its organs. Furthermore, it is important to know the dose–effect relationship. Different units are used in the international system of units (SI) to express radiation doses: the absorbed dose, the equivalent dose and the effective dose. Additionally, in medical diagnostics the dose–length product (DLP) is frequently used as well (Table 1).

Table 1.

Overview of different radiation dose units.17

Radiation dose Unit Symbol Calculation What does it mean?
Absorbed dose Gray (Gy) (J•kg−1) D D =εmT Represents the amount of radiation energy that is absorbed per unit of mass of a substance.17,18 (
Equivalent dose Sievert (Sv) (J•kg−1) HT HT =RϖRDT,R Takes into account the type of radiation as well as its effectiveness. When exposed to multiple radiation types, the equivalent doses of each radiation type must be calculated and then summated.18,19
Effective dose Sievert (Sv) (J•kg−1) E E =TϖTHT+ϖremHrem Takes into account the equivalent doses in all specified tissues and organs of the body, which is multiplied by a tissue-specific weighting factor. Represents the health risk, i.e. the probability of cancer induction and/or genetic effects.19
Dose-length product DLP Gy•cm CTDIvol ((1/3) x radiationcenter + (2/3) x radiationperiphery)/pitch)x scan length Used to calculate the total absorbed dose of radiation a patient is exposed to in a computed tomography examination and is therefore directly related to the stochastic risk.20 Note: DLP is not equal to the effective dose.
Dose area product DAP Gy·cm² D x Scan area Dose Area Product (DAP) is a measure of the total amount of radiation delivered to a person, with the area of the irradiated tissue taken into account.

ε ®, mean energy; D_(T,R), D in a target tissue (T) due to radiation type ‘R’; ω_R, radiation weighting factor; ω_T, tissue weighting factor; m_T, mass of volume of interest; rem, remainder tissues.

Knowledge about low dose radiation induced health risks is particularly important in the field of diagnostic imaging using IR, in which typically doses much lower than 100 mGy are used. The amount of medical examinations using IR (e.g. computed tomography scan, nuclear medicine, X-ray radiography …) has increased by a sixfold globally in the per capita medical radiation exposure over the previous 25–30 years.21 This increase in examinations coincides with an increase in the global average annual effective dose per caput from medical IR exposure, which increased from 0.35 millisieverts (mSv) per caput in 1988 to 0.62 mSv per caput in 2008, an increase of 77%.22 Therefore, medical exposure to IR accounts for about 14% of the total annual exposure worldwide, which makes it the largest man-made source of IR exposure to the general population.22,23

The rapid increase in the use of IR for medical diagnostics and associated health concerns, have led to several retrospective epidemiological studies that investigated whether IR exposure due to medical diagnostics, such as CT scans, is associated with an increase in cancer incidence later in life. Pearce et al.24 suggests that the use of CT scans in children could triple the risk of leukemia and brain cancers later in life.24 Additionally, a large Australian cohort study found an increase in cancer incidence that was 24% greater in children exposed to CT scans than in unexposed children.25 Despite the potential links between diagnostic radiology and radiation-induced malignancies, absolute evidence from prospective studies is lacking.10,26 This may also be true for dentomaxillofacial two-dimensional (2D) and three-dimensional (3D) imaging, which has been receiving far less attention in the current literature and of which reports have focused typically on stochastic models.27,28 Indeed, up to a 20-fold change in effective dose has been observed for different cone beam CT (CBCT) devices indicating a need for clinical recommendations as well as optimization of CBCT-based machine-dependent, patient-specific and indication-oriented variables.29,30 In this regard, age-dependent radiation sensitivity should be taken into account, as children are more radiosensitive than adults.31–33 This has led to concerns about potential radiation-induced health effects associated with diagnostic radiology, especially in the young population.34–37

The purpose of this review is to present studies that prospectively investigated biological effects in patients following dentomaxillofacial diagnostic imaging with X-rays. In particular, genotoxic and cytotoxic effects induced by plain radiography and CBCT as opposed to CT will be covered. A specific focus will placed on potential patient-specificity as well as gender- and age-related differences. Ultimately, we propose a reflection on how the current knowledge on biological effects can drive optimization strategies, mainly in children and adolescents in need of dentomaxillofacial imaging.

Assessing biological effects following low dose ionizing radiation exposure

Assessing the biological effects of (low dose) IR exposure is usually done via cytotoxicity and genotoxicity assays. Cytotoxicity means that IR exposure can be toxic to the cell, which usually leads to cell death or necrosis. This can be seen microscopically by observing nuclear changes. These changes include karyolysis (dissolution of chromatin), pyknosis (chromatin condensation) and karyorrhexis (fragmentation of pyknotic nuclei). If genotoxicity is detected, this indicates a potential risk of developing malignancies later in life. Genotoxicity markers that are mostly analyzed are chromosome aberration frequency (i.e. dicentric chromosomes, ring chromosomes), micronuclei (MN) frequency, single cell gel electrophoresis assay (also known as comet assay), and histone H2AX phosphorylated on serine 139 (γH2AX) foci.

Dicentric chromosome frequencies in peripheral blood lymphocytes have been the golden standard to estimate recent IR exposure in radiation emergency medicine.38,39 The half-life of dicentric chromosomes is between 6 and 12 months. Similar to dicentric chromosomes, ring chromosomes are known to increase in a dose-dependent manner, from low to high doses39,40

The MN assay is the most frequently used assay for genotoxicity of chemicals/pharmaceuticals.41 A MN is formed during the anaphase of mitosis or meiosis and are cytoplasmic bodies having a portion of an acentric chromosome or a whole chromosome that was not carried to the opposite poles during the anaphase. Their formation results in a daughter cell lacking a (part of a) chromosome.42 The MN assay has been successfully used as a biomonitoring tool, e.g. in industrial radiographers and hospital workers exposed to low doses of IR.43–45

The comet assay is a sensitive technique for the detection of DNA damage at the level of the individual eukaryotic cells. It is used as a standard technique for evaluation of DNA damage/repair, biomonitoring and genotoxicity testing. The results from the comet assay are a measure for the amount of DNA double strand breaks (DSBs) present within each cell.46 The comet assay has been used for many years to detect DNA damage induced by IR. For example, in nuclear medicine personnel and other hospital staff.47,48 While the comet assay is mostly sensitivity to large amounts of DNA damage, it can also be used to detect the effects of diagnostic X-rays in Children and in stem cells.49,50

Finally, γH2AX is part of the DNA damage response, a signaling cascade that results in the recruitment of multiple proteins to the vicinity of DNA DSBs. γH2AX forms DNA damage foci and show a quantitative relationship between the number of foci and the number of DSBs.51–53 The γH2AX assay has been used frequently to assess IR-induced DNA damage. Because of its sensitivity to low doses of ionizing radiation, it has been used in wide variety of studies: health workers, patients exposed to radionuclides, low dose biodosimetry purposes and even for in vitro and in vivo CBCT simulations.54–60 Results from these assays will be discussed (if data are available) for CT scans, CBCT scans, and plain radiographs. Attention will be given to dentomaxillofacial imaging applications. In this literature review performed between January 2019 and March 2021, Web of Science was searched using the following key words: computed tomography, radiology, cone beam computed tomography, biological effects, health effects. These were filtered to only include publications who followed-up patients from the medical examination up to the point of testing (prospective studies). Epidemiological and/or retrospective studies were excluded from this literature review.

Radiobiologic effect in relation to computed tomography

Since its introduction in the 1970s, the use of CT scans has increased rapidly. For example, in 2008 (Belgium), 180 examinations were performed per 1000 capita, whereas in 2017, this increased to 200 per 1000 capita.61 In 2017, the use of CT scans in Organisation for Economic Cooperation and Development (OECD) countries ranged from 37 per 1000 capita (Finland) to 231 per 1000 capita (Japan).62 CT scans are mostly used to diagnose muscle and bone disorders, detect internal bleeding, localize a tumor, as a guide during surgery or radiotherapy and to monitor disease/treatment progression. Depending on various settings, the organ doses received per CT scans is about 15 mSv in adults, whereas it can be up to 30 mSv in neonates. Since multiple scans are often required to follow-up the patient, the accumulated dose can increase rapidly.63

Several studies reported significant increases in the number of dicentric chromosomes in peripheral blood lymphocytes (PBLs) after CT scans in adult patients.64–66 In children younger than 15 years old, similar results were also observed.32,67 Abe et al65 did not find a correlation between the number of dicentric chromosomes and the effective dose.65 Furthermore, these studies suggest that younger children (<10 years old) in particular have increased radiosensitivity, especially at higher absorbed doses (mean dose of 12.9 mGy).67

In adults, significant increases in the number of ring chromosomes in PBLs were observed 15 min after a CT scan.64,68 To the best of our knowledge, no such studies in children were published so far.

Significant increases in the MN frequency were observed in PBLs from adults a few hours after CT exposure.66 In another study, Khattab et al69 showed that the number of MN does not increase significantly in infants that undergo CT followed by cardiac catheterization.69 However, this was only the case if the infant was never exposed to CT scans before. Interestingly, in infants exposed to previous CT scan(s), MN frequencies measured after a scheduled CT scan were significantly higher than before that CT scan. These results suggest that prior CT scans increase the cellular responses to subsequent CT exposures.69

Multiple studies in adults show that there are significant increases in the number of γH2AX foci in PBLs several minutes/hours after CT scans.70–85 An important observation is that exposure to multiple CT scans causes more DSBs as compared to single scan.85 In children, similar effects were observed.86,87 It is noteworthy that there are 15 studies reporting increases in γH2AX foci after CT scans in adults, whereas so far only two studies investigated this in children. Also worth mentioning is that several of these studies found that the use of a contrast medium (CM), which is frequently used in CT examinations, can increase the amount of radiation-induced γH2AX foci.72,76,81,84 Furthermore, Wang et al84 suggest that the use of a contrast agent itself can induce γH2AX foci.84

Dentomaxillofacial cone beam computed tomography

CBCT is a relatively new and innovative diagnostic imaging technique introduced in oral health care at the turn of the century.88,89 Global numbers of the use of CBCT are not commonly available but a recent Belgian survey found that 20% of the Belgian dentists have access to a CBCT device, which is a remarkable increase compared to a decade before.90 It is noteworthy that only 9% of the general dental practitioners and 12% of the orthodontists had access, while more than 60% of the oral and maxillofacial surgeons and periodontologists had access.90 As with CT and X-ray radiography scans, a wide range of CBCT doses is used in the clinic, typically ranging from about 0.01–1.100 mSv per examination.36,91–96 CBCT doses are lower than CT doses, yet, they are higher than classical 2D dental radiography techniques.29,97,98 Though, as with CT and radiography, multiple scans might be required, which causes a rapid increase in the cumulative dose. More recently, the IR dose to pediatric patients has become a major concern among clinicians.92,99 In 2010, the New York Times brought this to the attention of the general public with the publication of the article entitled “Radiation Worries for Children in Dentists’ Chairs”.100 An overview of studies reporting on CBCT-related biological effects in patients are summarized in Table 2.

Table 2.

Overview of the biological effects detected in patients following cone beam CT

Assay Gender Age (years) Dose Time of sampling Tissue examined Tissue used Biological effects References
MN assay 9 females 10 males 26.8 ± 5.0 Not mentioned Before and 10 days after cone beam computed tomography Oral cavity Exfoliated oral mucosa cells No induction of MN, but induction cytotoxicity (pyknosis, karyolysis, karyorrhexis) Carlin et al. (2010)101
10 girls 14 boys 11 ± 1.2 Range: 287 µSv - 304 µSv Lorenzoni et al. (2013)102
39 females seven males 23–42 Range: 448.15–730.79 mGy·cm2 Yang et al. (2017)103
17 females 12 males 45.8 ± 12.5 Not mentioned Significant induction of MN, and cytotoxicity (pyknosis, karyolysis, karyorrhexis) Da Fonte et al. (2018)104
70 females 28 males 23.63 ± 6.64 Range: 0.18 mGy – 3.54 mGy Significant induction of MN, and cytotoxicity (pyknosis, karyolysis, karyorrhexis) above 1 mGy. Below 1 mGy, only significant induction of karyorrhexis. Li et al. (2018)105

MN, micronucleus.

There is evidence that CBCT examinations can cause a significant increase in MN frequency in adults.104–106 Contrary, there are studies that suggest that the MN frequency does not change in adults.101,103 So far, only one study investigated the biological effects of CBCT in children. In this study, no increase in MN frequency was observed following CBCT examination.102 However, as with CT and radiography, most studies found a significant increase in cytotoxicity markers both in adults and children.101–105 To our knowledge, only one in vitro60 and no clinical studies exist that report on DNA DSB induction following CBCT. In this study, no DNA DSBs were found to be induced in buccal mucosal cells from either children or adults after a single CBCT examination.

Plain dentomaxillofacial radiography

X-ray radiographs have been used in medicine since the discovery of X-rays over 120 years ago. Ever since, radiographs have been widely used in medical diagnostics and the effective dose ranges from 0.001 to 0.1 mSv.84 Also, radiography is mostly used for bone examinations, dental examinations, mammography and orthopedic evaluations. In dentomaxillofacial radiography, plain radiographs refer mostly to panoramic, cephalometric and intraoral radiographs.107 These techniques give a 2D view of the maxilla, mandible, teeth, temporomandibular joints and maxillary sinuses. Yet, these anatomical structures have complex 3D organizations. In consequence, as in other fields, dentomaxillofacial imaging has moved towards 3D imaging in cases were the clinical use is justified.108 Considering 3D images, CBCT has greatly reduced the absorbed dose compared to traditional CT.94 However, CBCT produces a greater X-ray dose than a panoramic radiograph.109 Furthermore, it is also becoming more preoccupant that there is a wide span of delivered effective doses to the patient for different CBCT devices.110,111 Nevertheless, as with CT scans, multiple radiographs are often required, resulting in a higher cumulative dose. Studies reporting on plain radiography-related biological effects in patients are summarized in Table 3.

Table 3.

Overview of the biological effects detected in patients following X-ray radiography

Assay Gender Age (years) Dose Time of sampling Tissue examined Tissue used Biological effects References
24 females7 males 24 ± 1.023 21.4 µSv Before and 10 days after examination Oral cavity Exfoliated oral mucosa cells No induction of MN, and cytotoxicity (pyknosis, karyolysis). Significant induction of karyorrhexis. Cerqueira et al. (2004)112
31 females9 males 20 subjects ≤ 22.520 subjects > 22.5 21.4 µSv keratinized mucosa of theupper dental arch Significant induction of MN Cerqueira et al. (2008) 113
nine girls8 boys 7.70 ± 1.50 0.08 Roentgen(Entrance dose) Exfoliated oral mucosa cells No induction of MN, and cytotoxicity (pyknosis, karyolysis). Significant induction of karyorrhexis. Angelieri et al. (2007)114
42 males 18–40 0.057 mSv(Average dose) Cells of the lateral border of the tongue No induction of MN, but increased cytotoxicity (pyknosis, karyolysis, karyorrhexis). The number of karyorrhexis and binucleated cells was greater after multiple X-rays Da Silva et al. (2007)115
20 females12 males 24–73 Not mentioned Before and 10 ± 2 days after examination Exfoliated oral mucosa cells No induction of MN, but increased cytotoxicity (pyknosis, karyolysis, karyorrhexis). Popova et al. (2007)116
31 females9 males 26 ± 9.18 21.4 µSv Before and 10 days after examination Keratinized gingival cells Significant induction of MN, and cytotoxicity (pyknosis, karyolysis, karyorrhexis) Cerqueira et al. (2008)113
28 females11 males 39.6 ± 13 0.08 Roentgen(Entrance dose) Exfoliated oral mucosa cells No induction of MN, but increased cytotoxicity (pyknosis, karyolysis, karyorrhexis) Ribeiro and Angelieri (2008)117
six females11 males9 girls8 boys 39.6 ± 5.47.7±1.5 0.08 Roentgen(Entrance dose) Both in adults and children, no induction of MN, but increased cytotoxicity (pyknosis, karyolysis, karyorrhexis) Ribeiro et al. (2008)118
12 females20 males Mean: 38.65 0.08 Roentgen(Entrance dose) No induction of MN, but increased cytotoxicity (pyknosis, karyolysis, karyorrhexis) Angelieri et al. (2010a)119
12 females6 males 14.2 ± 1.4 Not mentioned Angelieri et al. (2010b)120
20 patients(gender not specified) Children(Age not specified) Not available Not mentioned El-Ashiry et al. (2010)121
13 girls7 boys Apr-14 Range: 0.13–0.29(entrance dose) Before and 30 min after examination Chest Peripheral blood lymphocytes Significant induction of MN Gajski et al. (2011)122
15 females15 males 20–23 0.046 Roentgen(Entrance dose) Before and 10 days after examination Oral cavity Exfoliated oral mucosa cells No induction of MN, but increased cytotoxicity (pyknosis, karyolysis, karyorrhexis) Ribeiro et al. (2011)123
10 females15 males 11.2 ± 1.4 Not available Lorenzoni et al. (2012)124
Micronucleus assay 80 patients Adults(age not specified) Not available No induction of MN in buccal cells.Significant induction of MN in gingival epithelial cells. Sheikh et al. (2012)125
90 patients Adults(age not specified) Not available No induction of MN, but increased cytotoxicity (pyknosis, karyolysis, karyorrhexis) Thomas et al. (2012)126
41 females19 males 27.63 ± 10.93 0.325 mGy/sec(no exact dose mentioned) Significant induction of MN Waingade and Medikeri (2012)127
32 females21 males 25.21 ± 12.67 0.325 mGy/sec(no exact dose mentioned) Exfoliated oral mucosa cells and keratinized gingiva cells Significant induction of MN in oral mucosa cells and a significant correlation was observed between the age of the subjects and number of MN Arora et al. (2014)128
20 patients(gender not specified) Children(age not specified) 21.4 mSv(average dose) Exfoliated oral mucosa cells No induction of MN, but increased cytotoxicity (pyknosis, karyolysis, karyorrhexis) Agarwal et al. (2015)129
20 girls20 boys 07-Dec Not mentioned Before and 10 ± 2 days after examination Significant induction of MN Preethi et al. (2016)130
70 females 23.63 ± 6.64 Range: Before and 10 days after Significant induction of MN, and cytotoxicity Li et al. (2018)102
28 males 0.18 mGy – 3.54 mGy examination (pyknosis, karyolysis, karyorrhexis) above 1 mGy. Below 1 mGy, only significant induction of karyorrhexis.
Comet 14 girls6 boys May-14 Range: 0–0.29 Before and 30 min after examination Chest Peripheral blood lymphocytes Significant increase of DNA damage following radiography. Milkovic et al. (2009)50
20 patients(gender not specified) Adults(age not specified) Not available Before and 30 min or 24 h after examination Oral cavity Exfoliated oral mucosa cells Significant increase of DNA damage 30 min following radiography, but not after 24 h Yanuaryska et al. (2018)131
γH2AX 45 females55 males 20–77 23.4 mGy(average dose) Before and 20 min after examination Oral cavity Exfoliated oral mucosa cells Increased number of γH2AX foci. Yoon et al. (2009)132
20 females 39–71 Range: 7.1–41.1 Before and 5 min after examination Breasts Systemic blood lymphocytes Schwab et al. (2013)133

MN, micronucleus.

It has been known since the first half of the 20th century that exposure to X-ray radiographs causes chromosome aberrations.134 Since then, most studies that focus on biological effects following radiography, rely on the MN assay. Although many studies report no statistical differences in MN frequency following radiography examinations in adults,115–120,123,125,126 significant increases in cytotoxicity markers (i.e. pyknosis, karyolysis, and karyorrhexis) are observed. Other studies report significant increases in MN frequency as well as cytotoxicity markers following dental radiography examinations.105,113,125,127,128 Contrary, Cerqueira et al found no changes in MN frequency and cytotoxicity markers in adults, except for karyorrhexis in exfoliated cells from oral mucosa..112 However, on keratinized mucosa cells Cerqueira et al.113 found changes in MN frequency and cytotoxicity marker.113 In children, an increase in MN frequency following dental radiography was reported.122,130 However, as with adults, there are also studies that only report an increase in cytotoxicity.102,114,118,121,124,129,135 Ribeiro et al compared the MN frequency and cytotoxicity markers between adults and children following dental radiography. They found no evidence that children are more radiosensitive than adults.118 On the other hand, there are reports showing that there is a significant correlation between the age of subjects (mean age: 25.21 ± 12.67) and micronucleus count, contradicting previous results from Ribeiro et al.125,128 Note that these studies found this age correlation in an adult patient group and that these results might not be extrapolated to children.

Comet assay data suggest that a radiography scan results in a significant increase in DNA DSBs in adults.131 Similar data were obtained from children.50 To our knowledge, these are the only two studies that reported on this and therefore should be interpreted with caution, given the many observed contradictions from the other assays that are described in this section.

Increases in the amount of γH2AX after radiography in adults was reported.132,133,136 As with CT scans, it was shown for radiographs (i.e. mammography in this study) that there is a low-dose effect, and a low and repeated dose effect.136 To our knowledge, no studies reported changes in γH2AX foci in children following radiography. Therefore no information is available on age-related differences (children vs adults).

Ongoing challenges

Health risks associated with exposure to high doses of IR (>100 mGy) are currently well-known thanks to epidemiological studies. While risks associated with exposure to low doses of IR, such as those used in medical diagnostics, have been suggested through retrospective epidemiological studies, controversy about low dose effects still exists.24,25 Furthermore, clear evidence from prospective studies is lacking.26 Only a few of them report a correlation between IR dose and the observed effect, which adds to both the controversy of the use of the LNT model for risk estimation and the low dose uncertainty. To further improve existing radioprotection guidelines, more biological data on health risks associated with exposure to low doses of IR are necessary.

Induction of DNA DSBs by several types of CT scans (e.g. whole body, thorax, abdomen, chest and head) has been clearly demonstrated in blood lymphocytes via the γH2AX assay: all studies found a significant increase in γH2AX foci following CT scans in lymphocytes. It was also shown that after 24 h, the amount of DNA DSBs returned to baseline levels. This indicates that although the DNA was severely damaged, the cells were still able to repair the DSBs. However, this does not mean that no mutations, such as base alterations, have occurred. Although data on dicentric chromosome and MN formation are available, these are less unanimous. It was shown that the frequency of dicentric chromosomes increases after CT scan, but data on MN are less clear. Kanagaraj et al66 reported an increase in MN frequency only a few hours after CT examination, while Khattab et al69 demonstrated that the MN frequency only increased if prior CT examinations were conducted in a patient. Only a few studies conducted MN assays, most likely due to the technical difficulty of chromosome analysis on a larger scale. It would be interesting to use more ‘localized’ samples, e.g. oral mucosa cells or even saliva samples in patients in which head and/or neck are examined. This is done for radiographs and CBCT patients, and could be very informative when applied in CT patients. It is clear that the (potential) adverse effects of CT examinations on human health have been subject of many studies, as is shown in this review. However, it is noteworthy that there is a lot of variation between these studies concerning doses used, patients included, and experimental set-up.

It has been shown that X-ray examinations, like CT scans, can induce significant increases in DNA DSBs in patients. This was shown by the γH2AX (performed in two studies) and comet assays (performed in two studies). Both assays showed a significant increase in DNA DSBs shortly after a radiograph was taken. Unlike the data from CT scans where mostly yH2AX assays were performed, data from radiographs mainly rely on the MN assay (performed in 21 studies) to assess genotoxicity following exposure. Although all studies agree that radiographs cause an increase in cytotoxicity, mostly through increases in the frequency of karyorrhexis, there is a lot of disagreement on whether or not the MN frequency is also increased after radiography. While 10 studies report no increase in MN frequency, there are 6 studies that do report an increase after radiography. These data illustrate the controversy and difficulty of low dose research and also show why it is important to study the effects of low doses of IR thoroughly. Unlike the CT studies, mostly ‘localized’ tissues, such as oral epithelial cells, were used when assessing genotoxicity after radiography. Of the 26 studies included in this review, only 3 used blood samples for analysis. Therefore, it is less likely that the local effect of radiography was underestimated.

So far, only a small number of studies investigated potential biological effects associated with CBCT examinations, and the majority rely on the MN assay. This small number of studies is most likely due to the novelty of the device (it is about 20 years old). Nevertheless, since it is very frequently used in a pediatric population, data on age-related biological effects are necessary for radiation protection. As with CT and radiographs, data on genotoxicity are not unanimous. Two studies report an increase in MN frequency following CBCT examination, whereas three studies report no induction of MN. All five studies, however, report an increase in cytotoxicity. It is clear that these data are conflicting and that additional research is needed. Furthermore, all five studies used exfoliated oral mucosa cells to perform the MN assay, while other cell types (e.g. cell of the lateral border of the tongue or gingival cells) and/or biofluids (e.g. blood or saliva) may also be tissues worth investigating. Since there are a limited amount of data on γH2AX foci formation or the comet assay, no decisive conclusion can be made about induction of DNA DSBs following CBCT. One might expect an increase in DNA DSBs to occur, since it has been shown that radiographs induce DSBs and the IR doses used by CBCT devices are higher than those used in radiography. Monitoring γH2AX foci following CBCT examination in both adults and children is part of the scope of the European funded “Dentomaxillofacial paediatric imaging - an investigation towards low dose radiation induced risks” or DIMITRA study.137 In this context, our recent study demonstrated the absence of an increased amount of DNA DSBs in buccal mucosal cells after CBCT examination (neither in children nor in adults).

Finally, a lot more studies were conducted in adults than in children. For CT, 23 studies were conducted in adults and only 5 studies included children. In one of the latter, the sample size was three, which results in a lack of statistical power on a population level.87 Furthermore, data comparing adults and children in similar CT settings are lacking. Similarly, most studies on radiography were conducted on adults, whereas only four included children. As with CT scans and radiography, studies comparing genotoxicity in adults and children are lacking and those that are available contradict each other.114,118,122,130 For CBCT, the number of studies including children is very low (i.e. one out of five). None of the above-mentioned studies followed the patients for longer than a few weeks. To better understand the extent of the observed genotoxicity following medical diagnostics, mostly in light of stochastic effects, long-term follow-up of patients is warranted.

Uncertainties on biological effects must drive optimization strategies

The sections above demonstrate how challenging it is to investigate the effects in dose levels compatible to dental and medical radiodiagnosis. The numerous variables that are combined in different manners, suffering effects of different sources, can generate controversial results and contestable conclusions. The epidemiological data on higher dose levels, however, seem to remain irreplaceable until now. In the meantime, scientists, radiobiologists and independent organizations are continuously investigating and reviewing the knowledge in order to propose up-to-date models on low-dose effects138 Until proven the contrary, therefore, the LNT hypothesis remains the most reasonable track which means that justification and optimization principles must be strictly followed.

Justification and optimization, however, are challenging tasks in the daily practice. Despite many studies have proven the possibility to reduce considerably the dose keeping the imaging quality for diagnosis purposes and/or treatment plan, the translation of optimization, there is still room for improving the translation of optimization in clinical practice..36 Others have been shown over indication of tridimensional exams in the dental field, failure on justification.33,139–142 In addition, optimization becomes even more challenging when high-resolution 3D images (mostly higher-dose) are chosen for unjustifiable reasons. In this context, the ALADAIP principle (As Low As Diagnostically Acceptable being Indication-oriented and Patient-specific) comes into play,96,143 proposing an exercise to ask what is the reason why the imaging exam is taken (indication) and who is the patient (age, sex, size and imaging exams history). It is well-known that X-ray diagnostic doses come from the most controllable source of IR, and despite its growing and the undeniable needs, it is fully manageable on exposure parameters and field of view.144

There is no doubt that a high level of uncertainty on low-dose effects remains. Moreover, despite the strong evidence regarding the higher radiation sensitivity of younger individuals, it has been even discussed if this this feature is applicable for low-dose. As already mentioned, however, studies demonstrated evident biological effects in sequential exams generating cumulative doses. In this regard, we cannot ignore the longer life expectancy of young subjects that probably will be exposed to several IR sources (including CT exams) during their lifetimes. On this matter, the role of radiologists, professors and researchers is to recognize the potential risks and demonstrate technical expertise to minimize them as far as the benefits are equally maximized, mainly for the more sensible population: children and adolescents.

Concluding remarks

Although it is clear that CT examinations cause DNA DSBs, which may lead/contribute to adverse health effects in patients, data about CBCT are limited. For 2D dentomaxillofacial radiographs, data are available, albeit that one may need to consider some methodological weakness biasing the results. Most data focusses on genotoxicity and cytotoxicity, but it might be interesting to look further at underlying mechanisms by using gene expression assays or by looking at specific proteins and their response to low doses of IR.

Furthermore, there is a lot of variability in the way radiation doses are reported. Some authors reported (estimated) effective doses, others reported absorbed doses or DLPs and even DAPs were used. This makes it very difficult to compare between studies and interpret the relative input. Therefore, it might be of interest to report doses in a standardized way, for example reporting absorbed dose or DLP. These two are least likely to be debated, since they can be measured accurately.

Also, the use of non-invasive detection methods, such as from saliva collection, to investigate the biological effects of medical and dental diagnostic procedures would aid to answer the encountered uncertainties.

Moreover, a lot of advancements are made in biomedical science (e.g. next-generation sequencing). These will allow to perform more high-throughput analyses and gather a lot of genomic/proteomic information, which is now often neglected in this type of studies. Therefore, more in-depth studies, such as gene expression analysis or next-generation sequencing, can give more insight in the consequences of the genotoxic insults described above as well as increase our understanding of the potential health risks associated with medical and dental diagnostic procedures.

Finally, clinical studies that include both adults and children are lacking. Therefore, not a lot of information is available about differences in response to IR between these age categories; this warrants further investigation. It is important to gain insight in potential age-related differences in effects of medical diagnostic procedures as it is vital to be able to properly assess the correct diagnostic tool at each age. In addition, radiation effects and radiation sensitivity are gender-specific. Existing epidemiological and experimental data suggest that radiation sensitivity in the long run is much higher in females than in males receiving a comparable dose. In accordance, recent studies observed an increased cancer risk in (young) females when compared to (young) males when exposed to CBCT.28,33 To complicate things even more, radiation sensitivity also differs from one individual to another as also observed by our group in saliva samples of CBCT exposed children.60 In accordance with the concept of personalized medicine, there is a need to consider the individual factor in the radiation response by taking age gender and other individual radiosensitivity-related factors into account. In this way, radiation sensitivity and radiation-related disease risk can be better evaluated. Ultimately, these insights on the basis of individual radiation responses rather than on population averages of organ tolerance can contribute to improved radiation protection guidelines, which, in the end, will benefit the patient.

Footnotes

Acknowledgments: The DIMITRA Research Group that contributed to this paper consists of N. Belmans, M. Moreels, S. Baatout, B. Salmon, A.C. Oenning, C. Chaussain, C. Lefevre, M. Hedesiu, P. Virag, M. Baciut, M. Marcu, O. Almasan, R. Roman, A. Porumb, C. Dinu, H. RotaruC. Ratiu, O. Lucaciu, B. Crisan, S. Bran, G. Baciut, R. Jacobs, H. Bosmans, R. Bogaerts, C. Politis, A. Stratis, R. Pauwels, K. de F. Vasconcelos, L. Nicolielo, G. Zhang, E. Tijskens, M. Vranckx, A. Ockerman, C. Morena, E. Embrechts. B. Baselet and K. Tabury helped with preparation of the manuscript. This work was supported by the European Atomic Energy Community’s Seventh Framework Programme FP7/2007–2011 under grant agreement No. 60,4984 (OPERRA: Open Project for the European Radiation Research Area) and by the Research Foundation – Flanders (FWO) under grant agreement No. G0A09.18N (TREASURE: Follow up of radiation dose and radiobiological effects after dental exposure to radiation). N. Belmans is supported by a doctoral SCK CEN grant.

Funding: This work was supported by the European Atomic Energy Community’s Seventh Framework Programme FP7/2007–2011 under grant agreement No. 604984 (OPERRA: Open Project for the European Radiation Research Area) and by the Research Foundation – Flanders (FWO) under grant agreement No. G0A09.18N (TREASURE: Follow up of radiation dose and radiobiological effects after dental exposure to radiation). N. Belmans is supported by a doctoral SCK CEN grant.

Contributor Information

Niels Belmans, Email: niels.belmans@sckcen.be.

Anne Caroline Oenning, Email: anne.oenning@gmail.com.

Benjamin Salmon, Email: benjamin.salmon@parisdescartes.fr.

Bjorn Baselet, Email: bbaselet@sckcen.be.

Kevin Tabury, Email: ktabury@sckcen.be.

Stéphane Lucas, Email: stephane.lucas@unamur.be.

Ivo Lambrichts, Email: ivo.lambrichts@uhasselt.be.

Marjan Moreels, Email: marjan.moreels@gmail.com.

Reinhilde Jacobs, Email: reinhilde.jacobs@uzleuven.be.

Sarah Baatout, Email: sarah.baatout@sckcen.be.

REFERENCES

  • 1.Stevens L. Injurious effects on the skin. Br Med J 1896; 1: 998. [Google Scholar]
  • 2.Gilchrist T. A case of dermatitis due to the X rays. Bull Johns Hopkins Hosp 1897; 8: 17–22. [Google Scholar]
  • 3.Frieben A. Demonstration eines Cancroids des rechten Handrückens, das sich nACh langdauernder Einwirking von Röntgen-strahlen bei einem 33 jährigen Mann entwickelt hatte. Fortschr Rontgenstr 1902; 6: 106. [Google Scholar]
  • 4.Little MP, Wakeford R, Tawn EJ, Bouffler SD, Berrington de Gonzalez A. Risks associated with low doses and low dose rates of ionizing radiation: why linearity may be (almost) the best we can do. Radiology 2009; 251: 6–12. doi: 10.1148/radiol.2511081686 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.UNSCEAR Sources and effects of ionizing radiation. Report to the General Assembly, with Scientific Annexes 2000;. [Google Scholar]
  • 6.UNSCEAR. U. Report to the general assembly with scientific annexes. Effects of ionizing radiation. Volume I Report and Annexes A and B 2006; 2008. [Google Scholar]
  • 7.Boice JD. The linear nonthreshold (Lnt) model as used in radiation protection: an NCRP update. Int J Radiat Biol 2017; 93: 1079–92. doi: 10.1080/09553002.2017.1328750 [DOI] [PubMed] [Google Scholar]
  • 8.Feinendegen LE. Evidence for beneficial low level radiation effects and radiation hormesis. Br J Radiol 2005; 78: 3–7. doi: 10.1259/bjr/63353075 [DOI] [PubMed] [Google Scholar]
  • 9.Feinendegen LE, Pollycove M, Neumann RD. Whole-Body responses to low-level radiation exposure: new concepts in mammalian radiobiology. Exp Hematol 2007; 35(4 Suppl 1): 37–46. doi: 10.1016/j.exphem.2007.01.011 [DOI] [PubMed] [Google Scholar]
  • 10.Tubiana M, Feinendegen LE, Yang C, Kaminski JM. The linear no-threshold relationship is inconsistent with radiation biologic and experimental data. Radiology 2009; 251: 13–22. doi: 10.1148/radiol.2511080671 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Vaiserman A, Koliada A, Zabuga O, Socol Y. Health impacts of low-dose ionizing radiation: current scientific debates and regulatory issues. Dose Response 2018; 16: 155932581879633. doi: 10.1177/1559325818796331 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Robertson A, Allen J, Laney R, Curnow A. The cellular and molecular carcinogenic effects of radon exposure: a review. Int J Mol Sci 2013; 14: 14024–63. doi: 10.3390/ijms140714024 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Siegel JA, Greenspan BS, Maurer AH, Taylor AT, Phillips WT, Van Nostrand D, et al. The BEIR VII estimates of low-dose radiation health risks are based on faulty assumptions and data analyses: a call for reassessment. J Nucl Med 2018; 59: 1017–9. doi: 10.2967/jnumed.117.206219 [DOI] [PubMed] [Google Scholar]
  • 14.Land CE. Low-Dose extrapolation of radiation health risks: some implications of uncertainty for radiation protection at low doses. Health Phys 2009; 97: 407–15. doi: 10.1097/HP.0b013e3181b1871b [DOI] [PubMed] [Google Scholar]
  • 15.Dimova EG, Bryant PE, Chankova SG. Adaptive response: some underlying mechanisms and open questions. Genetics and Molecular Biology 2008; 31: 396–408. doi: 10.1590/S1415-47572008000300002 [DOI] [Google Scholar]
  • 16.Guéguen Y, Bontemps A, Ebrahimian TG. Adaptive responses to low doses of radiation or chemicals: their cellular and molecular mechanisms. Cell Mol Life Sci 2019; 76: 1255-1273. doi: 10.1007/s00018-018-2987-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Giussani A. Issues related to the concept of organ dose. Luxembourg: European Union; 2018. [Google Scholar]
  • 18.Gonzale S, Abel J. Biological effects of low doses of ionizing radiation: a fuller picture. International Atomic Energy Agency IAEA 1994; 1994. [Google Scholar]
  • 19.Pelliccioni M. Overview of Fluence-to-Effective dose and Fluence-to-Ambient dose equivalent conversion coefficients for high energy radiation calculated using the FLUKA code. Radiat Prot Dosimetry 2000; 88: 279–97. doi: 10.1093/oxfordjournals.rpd.a033046 [DOI] [Google Scholar]
  • 20.Huda W, Ogden KM, Khorasani MR. Converting dose-length product to effective dose at CT. Radiology 2008; 248: 995–1003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Frush DP, Sorantin E. Radiation use in diagnostic imaging in children: approaching the value of the pediatric radiology community. Pediatr Radiol 2021; 51: 532–43. doi: 10.1007/s00247-020-04924-6 [DOI] [PubMed] [Google Scholar]
  • 22.UNSCEAR Sources and effects of ionizing radiation - UNSCEAR 2008 Report to the General. Assembly with Scientific Annexes 2010; 1. [Google Scholar]
  • 23.Tang FR, Loganovsky K. Low dose or low dose rate ionizing radiation-induced health effect in the human. J Environ Radioact 2018; 192: 32–47. [DOI] [PubMed] [Google Scholar]
  • 24.Pearce MS, Salotti JA, Little MP, McHugh K, Lee C, Kim KP. Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study. Lancet 2012; 380: 499–505. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Mathews JD, Forsythe AV, Brady Z, Butler MW, Goergen SK, Byrnes GB. Cancer risk in 680,000 people exposed to computed tomography scans in childhood or adolescence: data linkage study of 11 million Australians. BMJ 2013; 346: f2360. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Lee CYS, Koval TM, Suzuki JB. Low-Dose radiation risks of computerized tomography and cone beam computerized tomography: reducing the fear and controversy. J Oral Implantol 2015; 41: e223–30. doi: 10.1563/AAID-JOI-D-13-00221 [DOI] [PubMed] [Google Scholar]
  • 27.Benn DK, Vig PS. Estimation of X-ray radiation related cancers in US dental offices: is it worth the risk? Oral Surg Oral Med Oral Pathol Oral Radiol 2021; 4568: 4568. doi: 10.1016/j.oooo.2021.01.027 [DOI] [PubMed] [Google Scholar]
  • 28.De Felice F, Di Carlo G, Saccucci M, Tombolini V, Polimeni A. Dental cone beam computed tomography in children: clinical effectiveness and cancer risk due to radiation exposure. Oncology 2019; 96: 173–8. doi: 10.1159/000497059 [DOI] [PubMed] [Google Scholar]
  • 29.Pauwels R, Beinsberger J, Collaert B, Theodorakou C, Rogers J, Walker A, et al. Effective dose range for dental cone beam computed tomography scanners. Eur J Radiol 2012; 81: 267–71. doi: 10.1016/j.ejrad.2010.11.028 [DOI] [PubMed] [Google Scholar]
  • 30.Jacobs R, Salmon B, Codari M, Hassan B, Bornstein MM. Cone beam computed tomography in implant dentistry: recommendations for clinical use. BMC Oral Health 2018; 18: 88. doi: 10.1186/s12903-018-0523-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.ICRP Recommendations of the International Commission on radiological protection. ICRP publication 60. Ann. ICRP 1990; 21. [PubMed] [Google Scholar]
  • 32.Bakhmutsky MV, Joiner MC, Jones TB, Tucker JD. Differences in cytogenetic sensitivity to ionizing radiation in newborns and adults. Radiat Res 2014; 181: 605–16. doi: 10.1667/RR13598.1 [DOI] [PubMed] [Google Scholar]
  • 33.Hedesiu M, Marcu M, Salmon B, Pauwels R, Oenning AC, Almasan O, et al. Irradiation provided by dental radiological procedures in a pediatric population. Eur J Radiol 2018; 103: 112–7. doi: 10.1016/j.ejrad.2018.04.021 [DOI] [PubMed] [Google Scholar]
  • 34.Brenner DJ. Estimating cancer risks from pediatric CT: going from the qualitative to the quantitative. Pediatr Radiol 2002; 32: 228–31. doi: 10.1007/s00247-002-0671-1 [DOI] [PubMed] [Google Scholar]
  • 35.Hall EJ. Lessons we have learned from our children: cancer risks from diagnostic radiology. Pediatr Radiol 2002; 32: 700–6. doi: 10.1007/s00247-002-0774-8 [DOI] [PubMed] [Google Scholar]
  • 36.Marcu M, Hedesiu M, Salmon B, Pauwels R, Stratis A, Oenning ACC, et al. Estimation of the radiation dose for pediatric CBCT indications: a prospective study on ProMax3D. Int J Paediatr Dent 2018; 28: 300–9. doi: 10.1111/ipd.12355 [DOI] [PubMed] [Google Scholar]
  • 37.Schroeder AR, Redberg RF. The harm in looking. JAMA Pediatr 2013; 167: 693–5. doi: 10.1001/jamapediatrics.2013.356 [DOI] [PubMed] [Google Scholar]
  • 38.IAEA Cytogenetic dosimetry: applications in preparedness for and response to radiation emergencies. 2011;.
  • 39.Shi L, Fujioka K, Sun J, Kinomura A, Inaba T, Ikura T, et al. A modified system for analyzing ionizing radiation-induced chromosome abnormalities. Radiat Res 2012; 177: 533–8. doi: 10.1667/RR2849.1 [DOI] [PubMed] [Google Scholar]
  • 40.Abe Y, Yoshida MA, Fujioka K, Kurosu Y, Ujiie R, Yanagi A, et al. Dose-Response curves for analyzing of dicentric chromosomes and chromosome translocations following doses of 1000 mGy or less, based on irradiated peripheral blood samples from five healthy individuals. J Radiat Res 2018; 59: 35–42. doi: 10.1093/jrr/rrx052 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Hayashi M. The micronucleus test-most widely used in vivo genotoxicity test. Genes Environ 2016; 38: 18. doi: 10.1186/s41021-016-0044-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Fenech M. Cytokinesis-block micronucleus cytome assay. Nat Protoc 2007; 2: 1084–104. doi: 10.1038/nprot.2007.77 [DOI] [PubMed] [Google Scholar]
  • 43.Shakeri M, Zakeri F, Changizi V, Rajabpour MR, Farshidpour MR. A cytogenetic biomonitoring of industrial radiographers occupationally exposed to low levels of ionizing radiation by using cbmn assay. Radiat Prot Dosimetry 2017; 175: 246–51. doi: 10.1093/rpd/ncw292 [DOI] [PubMed] [Google Scholar]
  • 44.Bouraoui S, Mougou S, Drira A, Tabka F, Bouali N, Mrizek N, et al. A cytogenetic approach to the effects of low levels of ionizing radiation (IR) on the exposed Tunisian hospital workers. Int J Occup Med Environ Health 2013; 26: 144–54. doi: 10.2478/s13382-013-0084-4 [DOI] [PubMed] [Google Scholar]
  • 45.Terzic S, Milovanovic A, Dotlic J, Rakic B, Terzic M. New models for prediction of micronuclei formation in nuclear medicine department workers. J Occup Med Toxicol 2015; 10: 25. doi: 10.1186/s12995-015-0066-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Nikitaki Z, Hellweg CE, Georgakilas AG, Ravanat J-L. Stress-Induced DNA damage biomarkers: applications and limitations. Front Chem 2015; 3: 35. doi: 10.3389/fchem.2015.00035 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Dobrzyńska MM, Pachocki KA, Gajowik A, Radzikowska J, Sackiewicz A. The effect occupational exposure to ionizing radiation on the DNA damage in peripheral blood leukocytes of nuclear medicine personnel. J Occup Health 2014; 56: 379–86. doi: 10.1539/joh.13-0287-OA [DOI] [PubMed] [Google Scholar]
  • 48.Martínez A, Coleman M, Romero-Talamás CA, Frias S. An assessment of immediate DNA damage to occupationally exposed workers to low dose ionizing radiation by using the comet assay. Rev Invest Clin 2010; 62: 23–30. [PubMed] [Google Scholar]
  • 49.Sergeeva VA, Ershova ES, Veiko NN, Malinovskaya EM, Kalyanov AA, Kameneva LV, et al. Low-Dose ionizing radiation affects mesenchymal stem cells via extracellular oxidized cell-free DNA: a possible mediator of bystander effect and adaptive response. Oxid Med Cell Longev 2017; 2017: 1–22. doi: 10.1155/2017/9515809 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Milkovic D, Garaj-Vrhovac V, Ranogajec-Komor M, Miljanic S, Gajski G, Knezevic Z, et al. Primary DNA damage assessed with the comet assay and comparison to the absorbed dose of diagnostic x-rays in children. Int J Toxicol 2009; 28: 405–16. doi: 10.1177/1091581809344775 [DOI] [PubMed] [Google Scholar]
  • 51.Ciccia A, Elledge SJ. The DNA damage response: making it safe to play with knives. Mol Cell 2010; 40: 179–204. doi: 10.1016/j.molcel.2010.09.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Goodarzi AA, Jeggo PA. Irradiation induced foci (IRIF) as a biomarker for radiosensitivity. Mutat Res 2012; 736(1-2): 39–47. doi: 10.1016/j.mrfmmm.2011.05.017 [DOI] [PubMed] [Google Scholar]
  • 53.Asaithamby A, Chen DJ. Cellular responses to DNA double-strand breaks after low-dose gamma-irradiation. Nucleic Acids Res 2009; 37: 3912–23. doi: 10.1093/nar/gkp237 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Raavi V, Basheerudeen SAS, Jagannathan V, Joseph S, Chaudhury NK, Venkatachalam P. Frequency of gamma H2AX foci in healthy volunteers and health workers occupationally exposed to x-irradiation and its relevance in biological dosimetry. Radiat Environ Biophys 2016; 55: 339–47. doi: 10.1007/s00411-016-0658-1 [DOI] [PubMed] [Google Scholar]
  • 55.Lassmann M, Hänscheid H, Gassen D, Biko J, Meineke V, Reiners C, et al. In vivo formation of gamma-H2AX and 53BP1 DNA repair foci in blood cells after radioiodine therapy of differentiated thyroid cancer. J Nucl Med 2010; 51: 1318–25. doi: 10.2967/jnumed.109.071357 [DOI] [PubMed] [Google Scholar]
  • 56.Rief M, Hartmann L, Geisel D, Richter F, Brenner W, Dewey M. DNA double-strand breaks in blood lymphocytes induced by two-day 99mTc-MIBI myocardial perfusion scintigraphy. Eur Radiol 2018; 28: 3075–81. doi: 10.1007/s00330-017-5239-4 [DOI] [PubMed] [Google Scholar]
  • 57.Jakl L, Marková E, Koláriková L, Belyaev I. Biodosimetry of low dose ionizing radiation using DNA repair foci in human lymphocytes. Genes 2020; 11: 5804 01 2020. doi: 10.3390/genes11010058 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Belmans N, Gilles L, Virag P, Hedesiu M, Salmon B, Baatout S, et al. Method validation to assess in vivo cellular and subcellular changes in buccal mucosa cells and saliva following CBCT examinations. Dentomaxillofac Radiol 2019; 48: 20180428. doi: 10.1259/dmfr.20180428 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Belmans N, Gilles L, Welkenhuysen J, Vermeesen R, Baselet B, Salmon B, et al. In vitro Assessment of the DNA Damage Response in Dental Mesenchymal Stromal Cells Following Low Dose X-ray Exposure. Front Public Health 2021; 9: 584484. doi: 10.3389/fpubh.2021.584484 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Belmans N, Gilles L, Vermeesen R, Virag P, Hedesiu M, Salmon B, et al. Quantification of DNA double strand breaks and oxidation response in children and adults undergoing dental CBCT scan. Sci Rep 2020; 10: 2113. doi: 10.1038/s41598-020-58746-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.OECD Health care utilisation [Internet]. 2016. Available from: https://www.oecd-ilibrary.org/content/data/data-00542-en.
  • 62.OECD Computed Tomography (CT) exams (indicator) [Internet]. 2018. Available from: https://data.oecd.org/healthcare/computed-tomography-ct-exams.htm.
  • 63.Brenner DJ, Hall EJ. Computed tomography--an increasing source of radiation exposure. N Engl J Med 2007; 357: 2277–84. doi: 10.1056/NEJMra072149 [DOI] [PubMed] [Google Scholar]
  • 64.Shi L, Fujioka K, Sakurai-Ozato N, Fukumoto W, Satoh K, Sun J, et al. Chromosomal abnormalities in human lymphocytes after computed tomography scan procedure. Radiat Res 2018; 190: 424–32. doi: 10.1667/RR14976.1 [DOI] [PubMed] [Google Scholar]
  • 65.Abe Y, Miura T, Yoshida MA, Ujiie R, Kurosu Y, Kato N, et al. Increase in dicentric chromosome formation after a single CT scan in adults. Sci Rep 2015; 5: 13882. doi: 10.1038/srep13882 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Kanagaraj K, Abdul Syed Basheerudeen S, Tamizh Selvan G, Jose MT, Ozhimuthu A, Panneer Selvam S, et al. Assessment of dose and DNA damages in individuals exposed to low dose and low dose rate ionizing radiations during computed tomography imaging. Mutat Res Genet Toxicol Environ Mutagen 2015; 789-790: 1–6. doi: 10.1016/j.mrgentox.2015.05.008 [DOI] [PubMed] [Google Scholar]
  • 67.Stephan G, Schneider K, Panzer W, Walsh L, Oestreicher U. Enhanced yield of chromosome aberrations after CT examinations in paediatric patients. Int J Radiat Biol 2007; 83: 281–7. doi: 10.1080/09553000701283816 [DOI] [PubMed] [Google Scholar]
  • 68.Weber J, Scheid W, Traut H. Biological dosimetry after extensive diagnostic X-ray exposure. Health Phys 1995; 68: 266–9. doi: 10.1097/00004032-199502000-00012 [DOI] [PubMed] [Google Scholar]
  • 69.Khattab M, Walker DM, Albertini RJ, Nicklas JA, Lundblad LKA, Vacek PM, et al. Frequencies of micronucleated reticulocytes, a dosimeter of DNA double-strand breaks, in infants receiving computed tomography or cardiac catheterization. Mutation Research/Genetic Toxicology and Environmental Mutagenesis 2017; 820(Suppl 3): 8–18. doi: 10.1016/j.mrgentox.2017.05.006 [DOI] [PubMed] [Google Scholar]
  • 70.Löbrich M, Rief N, Kühne M, Heckmann M, Fleckenstein J, Rübe C, et al. In vivo formation and repair of DNA double-strand breaks after computed tomography examinations. Proc Natl Acad Sci U S A 2005; 102: 8984–9. doi: 10.1073/pnas.0501895102 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Rothkamm K, Balroop S, Shekhdar J, Fernie P, Goh V. Leukocyte DNA damage after multi-detector row CT: a quantitative biomarker of low-level radiation exposure. Radiology 2007; 242: 244–51. doi: 10.1148/radiol.2421060171 [DOI] [PubMed] [Google Scholar]
  • 72.Grudzenski S, Kuefner MA, Heckmann MB, Uder M, Löbrich M. Contrast medium-enhanced radiation damage caused by CT examinations. Radiology 2009; 253: 706–14. doi: 10.1148/radiol.2533090468 [DOI] [PubMed] [Google Scholar]
  • 73.Kuefner MA, Hinkmann FM, Alibek S, Azoulay S, Anders K, Kalender WA, et al. Reduction of x-ray induced DNA double-strand breaks in blood lymphocytes during coronary CT angiography using high-pitch spiral data acquisition with prospective ECG-triggering. Invest Radiol 2010; 45: 182–7. doi: 10.1097/RLI.0b013e3181d3eddf [DOI] [PubMed] [Google Scholar]
  • 74.Kuefner MA, Grudzenski S, Hamann J, Achenbach S, Lell M, Anders K, et al. Effect of CT scan protocols on X-ray-induced DNA double-strand breaks in blood lymphocytes of patients undergoing coronary CT angiography. Eur Radiol 2010; 20: 2917–24. doi: 10.1007/s00330-010-1873-9 [DOI] [PubMed] [Google Scholar]
  • 75.Kuefner MA, Brand M, Engert C, Kappey H, Uder M, Distel LV. The effect of calyculin A on the dephosphorylation of the histone γ-H2AX after formation of X-ray-induced DNA double-strand breaks in human blood lymphocytes. Int J Radiat Biol 2013; 89: 424–32. doi: 10.3109/09553002.2013.767991 [DOI] [PubMed] [Google Scholar]
  • 76.Pathe C, Eble K, Schmitz-Beuting D, Keil B, Kaestner B, Voelker M, et al. The presence of iodinated contrast agents amplifies DNA radiation damage in computed tomography. Contrast Media Mol Imaging 2011; 6: 507–13. doi: 10.1002/cmmi.453 [DOI] [PubMed] [Google Scholar]
  • 77.Geisel D, Zimmermann E, Rief M, Greupner J, Laule M, Knebel F, et al. Dna double-strand breaks as potential indicators for the biological effects of ionising radiation exposure from cardiac CT and conventional coronary angiography: a randomised, controlled study. Eur Radiol 2012; 22: 1641–50. doi: 10.1007/s00330-012-2426-1 [DOI] [PubMed] [Google Scholar]
  • 78.Beels L, Bacher K, Smeets P, Verstraete K, Vral A, Thierens H. Dose-length product of scanners correlates with DNA damage in patients undergoing contrast CT. Eur J Radiol 2012; 81: 1495–9. doi: 10.1016/j.ejrad.2011.04.063 [DOI] [PubMed] [Google Scholar]
  • 79.May MS, Brand M, Wuest W, Anders K, Kuwert T, Prante O, et al. Induction and repair of DNA double-strand breaks in blood lymphocytes of patients undergoing ¹⁸F-FDG PET/CT examinations. Eur J Nucl Med Mol Imaging 2012; 39: 1712–9. doi: 10.1007/s00259-012-2201-1 [DOI] [PubMed] [Google Scholar]
  • 80.Brand M, Sommer M, Achenbach S, Anders K, Lell M, Löbrich M, et al. X-Ray induced DNA double-strand breaks in coronary CT angiography: comparison of sequential, low-pitch helical and high-pitch helical data acquisition. Eur J Radiol 2012; 81: e357–62. doi: 10.1016/j.ejrad.2011.11.027 [DOI] [PubMed] [Google Scholar]
  • 81.Piechowiak EI, Peter J-FW, Kleb B, Klose KJ, Heverhagen JT. Intravenous iodinated contrast agents amplify DNA radiation damage at CT. Radiology 2015; 275: 692–7. doi: 10.1148/radiol.14132478 [DOI] [PubMed] [Google Scholar]
  • 82.Nguyen PK, Lee WH, Li YF, Hong WX, Hu S, Chan C, et al. Assessment of the Radiation Effects of Cardiac CT Angiography Using Protein and Genetic Biomarkers. JACC Cardiovasc Imaging 2015; 8: 873–84. doi: 10.1016/j.jcmg.2015.04.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Fukumoto W, Ishida M, Sakai C, Tashiro S, Ishida T, Nakano Y, et al. Dna damage in lymphocytes induced by cardiac CT and comparison with physical exposure parameters. Eur Radiol 2017; 27: 1660–6. doi: 10.1007/s00330-016-4519-8 [DOI] [PubMed] [Google Scholar]
  • 84.Wang L, Li Q, Wang X-M, Hao G-Y Hu S, et al. Enhanced radiation damage caused by iodinated contrast agents during CT examination. Eur J Radiol 2017; 92: 72–7. doi: 10.1016/j.ejrad.2017.04.005 [DOI] [PubMed] [Google Scholar]
  • 85.Khan K, Tewari S, Awasthi NP, Mishra SP, Agarwal GR, Rastogi M, et al. Flow cytometric detection of gamma-H2AX to evaluate DNA damage by low dose diagnostic irradiation. Med Hypotheses 2018; 115: 22–8. doi: 10.1016/j.mehy.2018.03.016 [DOI] [PubMed] [Google Scholar]
  • 86.Vandevoorde C, Franck C, Bacher K, Breysem L, Smet MH, Ernst C, et al. γ-H2AX foci as in vivo effect biomarker in children emphasize the importance to minimize x-ray doses in paediatric CT imaging. Eur Radiol 2015; 25: 800–11. doi: 10.1007/s00330-014-3463-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Halm BM, Franke AA, Lai JF, Turner HC, Brenner DJ, Zohrabian VM, et al. γ-H2AX foci are increased in lymphocytes in vivo in young children 1 h after very low-dose X-irradiation: a pilot study. Pediatr Radiol 2014; 44: 1310–7. doi: 10.1007/s00247-014-2983-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Arai Y, Tammisalo E, Iwai K, Hashimoto K, Shinoda K. Development of a compact computed tomographic apparatus for dental use. Dentomaxillofac Radiol 1999; 28: 245–8. doi: 10.1038/sj.dmfr.4600448 [DOI] [PubMed] [Google Scholar]
  • 89.Mozzo P, Procacci C, Tacconi A, Martini PT, Andreis IA. A new volumetric CT machine for dental imaging based on the cone-beam technique: preliminary results. Eur Radiol 1998; 8: 1558–64. doi: 10.1007/s003300050586 [DOI] [PubMed] [Google Scholar]
  • 90.Snel R, Van De Maele E, Politis C, Jacobs R. Digital dental radiology in Belgium: a nationwide survey. Dentomaxillofac Radiol 2018; 47: 20180045: 20180045. doi: 10.1259/dmfr.20180045 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Signorelli L, Patcas R, Peltomäki T, Schätzle M. Radiation dose of cone-beam computed tomography compared to conventional radiographs in orthodontics. J Orofac Orthop 2016; 77: 9–15. doi: 10.1007/s00056-015-0002-4 [DOI] [PubMed] [Google Scholar]
  • 92.Li G. Patient radiation dose and protection from cone-beam computed tomography. Imaging Sci Dent 2013; 43: 63–9. doi: 10.5624/isd.2013.43.2.63 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Loubele M, Bogaerts R, Van Dijck E, Pauwels R, Vanheusden S, Suetens P, et al. Comparison between effective radiation dose of CBCT and MSCT scanners for dentomaxillofacial applications. Eur J Radiol 2009; 71: 461–8. doi: 10.1016/j.ejrad.2008.06.002 [DOI] [PubMed] [Google Scholar]
  • 94.Ludlow JB, Davies-Ludlow LE, White SC. Patient risk related to common dental radiographic examinations: the impact of 2007 International Commission on radiological protection recommendations regarding dose calculation. J Am Dent Assoc 2008; 139: 1237–43. [DOI] [PubMed] [Google Scholar]
  • 95.Centre for Radiation CaEH .Guidance on the safe use of dental cone bean CT (computed tomography) equipment. Oxfordshire: Health Protection Agency; 2010. [Google Scholar]
  • 96.Oenning AC, Jacobs R, Pauwels R, Stratis A, Hedesiu M, Salmon B, et al. Cone-Beam CT in paediatric dentistry: DIMITRA project position statement. Pediatr Radiol 2018; 48: 308-316. doi: 10.1007/s00247-017-4012-9 [DOI] [PubMed] [Google Scholar]
  • 97.Pauwels R. Cone beam CT for dental and maxillofacial imaging: dose matters. Radiat Prot Dosimetry 2015; 165(1-4): 156–61. doi: 10.1093/rpd/ncv057 [DOI] [PubMed] [Google Scholar]
  • 98.Theodorakou C, Walker A, Horner K, Pauwels R, Bogaerts R, Jacobs Dds R, et al. Estimation of paediatric organ and effective doses from dental cone beam CT using anthropomorphic phantoms. Br J Radiol 2012; 85: 153–60. doi: 10.1259/bjr/19389412 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Department of Public Health EaSDoHP-F, .Women and Children’s Health Cluster (FWC). Communicating radiation risks in paediatric imaging - Information to support healthcare discussions about benefit and risk. Switserland: World Health Organization; 2016. [Google Scholar]
  • 100.CMJ BW. Radiation Worries for Children in Dentists’ Chairs. New York Times 2010;. [Google Scholar]
  • 101.Carlin V, Artioli AJ, Matsumoto MA, Filho HN, Borgo E, Oshima CTF, et al. Biomonitoring of DNA damage and cytotoxicity in individuals exposed to cone beam computed tomography. Dentomaxillofac Radiol 2010; 39: 295–9. doi: 10.1259/dmfr/17573156 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Lorenzoni DC, Fracalossi ACC, Carlin V, Ribeiro DA, Sant'Anna EF. Mutagenicity and cytotoxicity in patients submitted to ionizing radiation. Angle Orthod 2013; 83: 104–9. doi: 10.2319/013112-88.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Yang P, Hao S, Gong X, Li G. Cytogenetic biomonitoring in individuals exposed to cone beam CT: comparison among exfoliated buccal mucosa cells, cells of tongue and epithelial gingival cells. Dentomaxillofac Radiol 2017; 46: 20160413. doi: 10.1259/dmfr.20160413 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.da Fonte JBM, Andrade Taís M de, Albuquerque-Jr RLC, de Melo Maria de Fátima B, Takeshita WM, de Andrade TM, de Melo MDB. Evidence of genotoxicity and cytotoxicity of x-rays in the oral mucosa epithelium of adults subjected to cone beam CT. Dentomaxillofac Radiol 2018; 47: 20170160. doi: 10.1259/dmfr.20170160 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Li G, Yang P, Hao S, Hu W, Liang C, Zou B-shuang, Zou BS, et al. Buccal mucosa cell damage in individuals following dental X-ray examinations. Sci Rep 2018; 8: 2509. doi: 10.1038/s41598-018-20964-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Ribeiro D. Evidence of genotoxicity and cytotoxicity of x-rays in the oral mucosa epithelium of adults subjected to cone-beam computed tomography. Dentomaxillofac Radiol 2018;: 20180299: 20180299. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Boeddinghaus R, Whyte A. Current concepts in maxillofacial imaging. Eur J Radiol 2008; 66: 396–418. doi: 10.1016/j.ejrad.2007.11.019 [DOI] [PubMed] [Google Scholar]
  • 108.Suomalainen A, Pakbaznejad Esmaeili E, Robinson S. Dentomaxillofacial imaging with panoramic views and cone beam CT. Insights Imaging 2015; 6: 1–16. doi: 10.1007/s13244-014-0379-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Mazzotta L, Cozzani M, Razionale A, Mutinelli S, Castaldo A, Silvestrini-Biavati A. From 2D to 3D: construction of a 3D parametric model for detection of dental roots shape and position from a panoramic Radiograph-A preliminary report. Int J Dent 2013; 2013: 1–8. doi: 10.1155/2013/964631 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Suomalainen A, Kiljunen T, Käser Y, Peltola J, Kortesniemi M. Dosimetry and image quality of four dental cone beam computed tomography scanners compared with multislice computed tomography scanners. Dentomaxillofac Radiol 2009; 38: 367–78. doi: 10.1259/dmfr/15779208 [DOI] [PubMed] [Google Scholar]
  • 111.Rottke D, Patzelt S, Poxleitner P, Schulze D. Effective dose span of ten different cone beam CT devices. Dentomaxillofac Radiol 2013; 42: 20120417. doi: 10.1259/dmfr.20120417 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Cerqueira EMM, Gomes-Filho IS, Trindade S, Lopes MA, Passos JS, Machado-Santelli GM. Genetic damage in exfoliated cells from oral mucosa of individuals exposed to x-rays during panoramic dental radiographies. Mutat Res 2004; 562(1-2): 111–7. doi: 10.1016/j.mrgentox.2004.05.008 [DOI] [PubMed] [Google Scholar]
  • 113.Cerqueira EMM, Meireles JRC, Lopes MA, Junqueira VC, Gomes-Filho IS, Trindade S, et al. Genotoxic effects of x-rays on keratinized mucosa cells during panoramic dental radiography. Dentomaxillofac Radiol 2008; 37: 398–403. doi: 10.1259/dmfr/56848097 [DOI] [PubMed] [Google Scholar]
  • 114.Angelieri F, de Oliveira GR, Sannomiya EK, Ribeiro DA. Dna damage and cellular death in oral mucosa cells of children who have undergone panoramic dental radiography. Pediatr Radiol 2007; 37: 561–5. doi: 10.1007/s00247-007-0478-1 [DOI] [PubMed] [Google Scholar]
  • 115.da Silva AE, Rados PV, da Silva Lauxen I, Gedoz L, Villarinho EA, Fontanella V. Nuclear changes in tongue epithelial cells following panoramic radiography. Mutat Res 2007; 632(1-2): 121–5. doi: 10.1016/j.mrgentox.2007.05.003 [DOI] [PubMed] [Google Scholar]
  • 116.Popova L, Kishkilova D, Hadjidekova VB, Hristova RP, Atanasova P, Hadjidekova VV, et al. Micronucleus test in buccal epithelium cells from patients subjected to panoramic radiography. Dentomaxillofac Radiol 2007; 36: 168–71. doi: 10.1259/dmfr/29193561 [DOI] [PubMed] [Google Scholar]
  • 117.Ribeiro DA, Angelieri F. Cytogenetic biomonitoring of oral mucosa cells from adults exposed to dental x-rays. Radiat Med 2008; 26: 325–30. doi: 10.1007/s11604-008-0232-0 [DOI] [PubMed] [Google Scholar]
  • 118.Ribeiro DA, de Oliveira G, de Castro G, Angelieri F. Cytogenetic biomonitoring in patients exposed to dental X-rays: comparison between adults and children. Dentomaxillofac Radiol 2008; 37: 404–7. doi: 10.1259/dmfr/58548698 [DOI] [PubMed] [Google Scholar]
  • 119.Angelieri F. De Cassia Goncalves Moleirinho T, Carlin V, Oshima CT, Ribeiro dA. biomonitoring of oral epithelial cells in smokers and non-smokers submitted to panoramic X-ray: comparison between buccal mucosa and lateral border of the tongue. Clin Oral Investig 2010; 14: 669–74. [DOI] [PubMed] [Google Scholar]
  • 120.Angelieri F, Carlin V, Saez DM, Pozzi R, Ribeiro DA. Mutagenicity and cytotoxicity assessment in patients undergoing orthodontic radiographs. Dentomaxillofac Radiol 2010; 39: 437–40. doi: 10.1259/dmfr/24791952 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.El-Ashiry EA, Abo-Hager EA, Gawish AS. Genotoxic effects of dental panoramic radiograph in children. J Clin Pediatr Dent 2010; 35: 69–74. doi: 10.17796/jcpd.35.1.y613824735287307 [DOI] [PubMed] [Google Scholar]
  • 122.Gajski G, Milković D, Ranogajec-Komor M, Miljanić S, Garaj-Vrhovac V. Application of dosimetry systems and cytogenetic status of the child population exposed to diagnostic x-rays by use of the cytokinesis-block micronucleus cytome assay. J Appl Toxicol 2011; 31: 608–17. doi: 10.1002/jat.1603 [DOI] [PubMed] [Google Scholar]
  • 123.Ribeiro DA, Sannomiya EK, Pozzi R, Miranda SR, Angelieri F. Cellular death but not genetic damage in oral mucosa cells after exposure to digital lateral radiography. Clin Oral Investig 2011; 15: 357–60. doi: 10.1007/s00784-010-0402-1 [DOI] [PubMed] [Google Scholar]
  • 124.Lorenzoni DC, Cuzzuol Fracalossi AC, Carlin V, Araki Ribeiro D, Sant' Anna EF. Cytogenetic biomonitoring in children submitting to a complete set of radiographs for orthodontic planning. Angle Orthod 2012; 82: 585–90. doi: 10.2319/072311-468.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Sheikh S, Pallagatti S, Grewal H, Kalucha A, Kaur H. Genotoxicity of digital panoramic radiography on oral epithelial tissues. Quintessence Int 2012; 43: 719–25. [PubMed] [Google Scholar]
  • 126.Thomas P, Ramani P, Premkumar P, Natesan A, Sherlin HJ, Chandrasekar T. Micronuclei and other nuclear anomalies in buccal mucosa following exposure to X-ray radiation. Anal Quant Cytol Histol 2012; 34: 161–9. [PubMed] [Google Scholar]
  • 127.Waingade M, Medikeri RS. Analysis of micronuclei in buccal epithelial cells in patients subjected to panoramic radiography. Indian J Dent Res 2012; 23: 574–8. doi: 10.4103/0970-9290.107329 [DOI] [PubMed] [Google Scholar]
  • 128.Arora P, Devi P, Wazir SS. Evaluation of genotoxicity in patients subjected to panoramic radiography by micronucleus assay on epithelial cells of the oral mucosa. J Dent 2014; 11: 47–55. [PMC free article] [PubMed] [Google Scholar]
  • 129.Agarwal P, Vinuth DP, Haranal S, Thippanna CK, Naresh N, Moger G. Genotoxic and cytotoxic effects of X-ray on buccal epithelial cells following panoramic radiography: a pediatric study. J Cytol 2015; 32: 102–6. doi: 10.4103/0970-9371.160559 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Preethi N, Chikkanarasaiah N, Bethur SS. Genotoxic effects of x-rays in buccal mucosal cells in children subjected to dental radiographs. BDJ Open 2016; 2: 16001. doi: 10.1038/bdjopen.2016.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Yanuaryska RD. Comet assay assessment of DNA damage in buccal mucosa cells exposed to x-rays via panoramic radiography. J Dent Indones 2018; 25: 53–7. doi: 10.14693/jdi.v25i1.1124 [DOI] [Google Scholar]
  • 132.Yoon AJ, Shen J, Wu H-C, Angelopoulos C, Singer SR, Chen R, et al. Expression of activated checkpoint kinase 2 and histone 2AX in exfoliative oral cells after exposure to ionizing radiation. Radiat Res 2009; 171: 771–5. doi: 10.1667/RR1560.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.Schwab SA, Brand M, Schlude I-K, Wuest W, Meier-Meitinger M, Distel L, et al. X-Ray induced formation of γ-H2AX foci after full-field digital mammography and digital breast-tomosynthesis. PLoS One 2013; 8: e70660. doi: 10.1371/journal.pone.0070660 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Sax K. Chromosome aberrations induced by x-rays. Genetics 1938; 23: 494–516. doi: 10.1093/genetics/23.5.494 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Antonio EL, Nascimento AJdo, Lima AASde, Leonart MSS, Fernandes Ângela. Genotoxicity and cytotoxicity of x-rays in children exposed to panoramic radiography. Rev Paul Pediatr 2017; 35: 296–301. doi: 10.1590/1984-0462/;2017;35;3;00010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Colin C, Devic C, Noël A, Rabilloud M, Zabot M-T, Pinet-Isaac S, et al. Dna double-strand breaks induced by mammographic screening procedures in human mammary epithelial cells. Int J Radiat Biol 2011; 87: 1103–12. doi: 10.3109/09553002.2011.608410 [DOI] [PubMed] [Google Scholar]
  • 137.Belmans N, Gilles L, Virag P, Hedesiu M, Salmon B, Baatout S, et al. Method validation to assess in vivo cellular and subcellular changes in buccal mucosa cells and saliva following CBCT examinations. Dentomaxillofac Radiol 2019; 48: 20180428. doi: 10.1259/dmfr.20180428 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Price JB. An oral radiology perspective of the recent joint ANS-HPS low dose radiation conference. Oral Surg Oral Med Oral Pathol Oral Radiol 2019; 128: 187–90. doi: 10.1016/j.oooo.2019.06.013 [DOI] [PubMed] [Google Scholar]
  • 139.Hidalgo-Rivas JA, Theodorakou C, Carmichael F, Murray B, Payne M, Horner K. Use of cone beam CT in children and young people in three United Kingdom dental hospitals. Int J Paediatr Dent 2014; 24: 336–48. doi: 10.1111/ipd.12076 [DOI] [PubMed] [Google Scholar]
  • 140.Hidalgo Rivas JA, Horner K, Thiruvenkatachari B, Davies J, Theodorakou C. Development of a low-dose protocol for cone beam CT examinations of the anterior maxilla in children. Br J Radiol 2015; 88: 20150559. doi: 10.1259/bjr.20150559 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141.Aps JKM. Cone beam computed tomography in paediatric dentistry: overview of recent literature. Eur Arch Paediatr Dent 2013; 14: 131–40. doi: 10.1007/s40368-013-0029-4 [DOI] [PubMed] [Google Scholar]
  • 142.Lagos de Melo LP, Oenning ACC, Nadaes MR, Nejaim Y, Neves FS, Oliveira ML, et al. Influence of acquisition parameters on the evaluation of mandibular third molars through cone beam computed tomography. Oral Surg Oral Med Oral Pathol Oral Radiol 2017; 124: 183–90. doi: 10.1016/j.oooo.2017.03.008 [DOI] [PubMed] [Google Scholar]
  • 143.Oenning AC, Jacobs R, Salmon B, , .DIMIRA Research Group . Aladaip, beyond alara and towards personalized optimization for paediatric cone beam CT. Int J Paediatr Dent 2021;12 Apr 2021PMID. doi: 10.1111/ipd.12797 [DOI] [PubMed] [Google Scholar]
  • 144.Bushberg JT. Eleventh annual Warren K. Sinclair keynote address-science, radiation protection and NCRP: building on the past, looking to the future. Health Phys 2015; 108: 115–23. doi: 10.1097/HP.0000000000000228 [DOI] [PubMed] [Google Scholar]

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