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Journal of Medical Radiation Sciences logoLink to Journal of Medical Radiation Sciences
. 2022 Dec 1;70(1):30–39. doi: 10.1002/jmrs.632

Effective doses for common paediatric diagnostic general radiography examinations at a major Australian paediatric hospital and the communication of associated radiation risks

Victoria J Earl 1,2, Amanda O G Potter 1,, Amanda A Perdomo 1
PMCID: PMC9977658  PMID: 36453696

Abstract

Introduction

Health professionals in paediatric medical imaging are routinely required to communicate radiation risks to carers and patients. Effective dose alone cannot be used to specify and communicate the radiation risk for an individual as risks are dependent on many factors including age and patient sex. In this study, we estimated typical effective doses for 20 commonly performed paediatric general radiography examinations using the weight‐based imaging protocols employed at a major Australian specialist paediatric hospital. Effective doses were used to estimate and categorise associated age‐based stochastic risks with commonly used risk terminology to facilitate communication of risk.

Methods

Paediatric protocols for common general radiography examinations and World Health Organization 50th percentile weight‐for‐age data for females and males aged up to 18 years were used to estimate typical effective doses using Monte Carlo software and lifetime risk of cancer incidence using published data. Results were used to determine standardised levels of risk using the Calman risk model.

Results

Effective doses, corresponding lifetime risk of cancer incidence and level of risk category from 20 general radiography examinations for paediatric patients were calculated and presented for ease of communication. Doses ranged from <0.001 mSv (negligible risk) to 1.6 mSv (low risk).

Conclusion

Typical effective doses from common paediatric general radiography examinations, the associated lifetime risk of cancer incidence and level of risk have been established for our institution. This can be used to convey risks to health professionals, patients and carers in ways that are easy to understand and compare with other everyday risks.

Keywords: Effective dose, general radiography, paediatric, radiation risk, risk communication


The typical effective doses for 20 of the most commonly performed paediatric general radiography examinations were estimated using the weight‐based imaging protocols employed at our institution. The effective doses were used to estimate and categorise associated age‐based stochastic risks with commonly used risk terminology to facilitate the communication of risk to patients and carers in ways that are easy to understand and compare with other everyday risks.

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Introduction

Diagnostic general radiography examinations are performed routinely in children, providing important information for the diagnosis, staging, treatment and follow‐up of a range of conditions and diseases. The Royal Children's Hospital, Melbourne, Australia (RCH) has five fixed general radiography rooms using indirect digital detector technology (Shimadzu RADSpeed Pro UD 150B‐10 with Canon CXDI‐70C CsI(CsI:Tl) wireless digital detector) installed in 2011. The Medical Imaging department provides a 24‐hour service. In the period January 2021 to December 2021, the Medical Imaging department imaged over 28,000 patients and acquired over 33,000 radiographs. The most commonly performed general radiography service was extremity imaging (44%) followed by chest imaging (38%). Whilst the effective doses from general radiography examinations are typically lower than those received from computed tomography (CT), fluoroscopic and nuclear medicine procedures, the radiation exposure must still be justified. 1 In addition to evaluating the clinical relevance and appropriateness of a requested radiological examination, the justification process also requires the radiation medical practitioner (radiologist) or the operator (radiographer) to understand the magnitude of the effective doses and the associated risks (e.g. cancer induction) for the patient. It is widely accepted that the paediatric population is more radiosensitive than the adult population, and therefore paediatric age‐specific information is required for the justification process as well as communicating the magnitude of the radiation dose and the associated risk to patients and their carers. 1 , 2 , 3 , 4

Whilst there is published data regarding effective doses for paediatric general radiography examinations, 5 , 6 , 7 , 8 , 9 as the major specialist paediatric hospital and designated state‐wide major trauma centre for paediatrics in Victoria, Australia, the Medical Imaging department is frequently approached by government departments and other hospitals for our typical effective doses for commonly performed examinations. There are currently no Australian national Diagnostic Reference Levels (DRLs) published for paediatric, or adult, general radiography examinations.

At our institution, a weight‐based exposure chart is employed to ensure a certain level of image quality is achieved given the large variation in patient weight and height for any given age. Stochastic risk is based on a patient's age so an age–weight relationship needs to be used to be able to estimate and communicate risk meaningfully.

As previously discussed by the authors, 10 effective dose alone cannot be used to specify and communicate the associated stochastic risk for an individual examination due to differences in risk due to age and patient sex. In an earlier publication, the authors established typical effective doses from common paediatric nuclear medicine and positron emission tomography (PET) studies performed at the RCH and the associated lifetime risk of cancer incidence and level of risk for female and male children from 0 to 18 years old. 10 Various methods are in use to categorise relative risks, with the classifications and terminology proposed by Calman being frequently used by State and National authorities such as the Australian Radiation Protection and Nuclear Safety Agency information sheets and Codes. 11 , 12 , 13 , 14 A common method is to equate the procedural effective dose to ‘background equivalent radiation time’, referred to as BERT. 15 In Australia, natural BERT is approximately 1.5 mSv per annum. 12 It is also potentially misleading as BERT is a whole‐body exposure over a time period, whereas a diagnostic procedure involves a radiation exposure delivered in a very short amount of time and often concentrated to parts of the body, and there may be a dose and dose rate effectiveness factor involved which is currently unknown. Another approach compares the radiation risk with odds of dying from more everyday hazards such as driving a car, riding a bike or air travel. 16 , 17 , 18 , 19

The majority of patients, carers and some health professionals are not radiation‐literate. Using too many technical terms and complicating the narrative may increase confusion and concern in the audience. 20 The ability to accurately and meaningfully communicate radiation risk information to health professionals, patients and carers is of utmost importance as it can influence healthcare pathway decisions. This may include referrers being hesitant to request imaging required and parents and carers hesitant to consent which can prolong the imaging process or introduce a level of concern that is not warranted. As concluded by Weider, for effective radiation risk communication we need to personalise communication like we personalise medical diagnosis and treatment. 20

The primary aim of this study is to estimate the radiation dose and associated risk for the most commonly performed paediatric radiographic examinations at our institution. The secondary aim is to provide clear and accurate information to assist medical imaging professionals and other clinical staff, in the communication of radiation dose and associated risk in the paediatric setting using common risk classifications and terminologies. The standardised information can then be personalised by health professionals as required (e.g. when a patient requires multiple chest radiographs with multiple views and the overall risk needs to be estimated).

Materials and Methods

Age‐dependent effective doses for the 20 of the most commonly performed general radiography examinations with one or more views at RCH (Table 1) for children aged 0–18 years were estimated using the RCH exposure chart (Table 2) and the PC Program for X‐ray Monte Carlo (PCXMC) software (version 2.0.1.4, STUK (Radiation and Nuclear Safety Authority, Finland)) with International Commission on Radiological Protection (ICRP) 103 tissue weighting factors. 1 Mobile examinations were not included in this work; however, the exposure chart is the same for mobile general radiography at this institution.

Table 1.

Commonly performed paediatric general radiography procedures at RCH. Note that not all views listed for a procedure may be performed if they are not clinically relevant for the patient. All views were included to estimate the maximum effective dose and associated risk to the patient.

Exam Comment
Chest AP
Chest Lateral
Abdomen AP
Shoulder AP
Shoulder Lateral
Pelvis AP
Knee AP and Lateral
Tibia/Fibula AP and Lateral
Ankle AP, Mortise and Lateral
Foot AP, Oblique and Lateral
Cervical Spine AP and Lateral 3–15 kg weight range only
Cervical Spine AP, Odontoid and Lateral 16–60+ kg weight range only
Cervical Spine AP, Odontoid, Lateral and Swimmers 26–60+ kg weight range only
Thoracic Spine AP and Lateral
Thoracic Spine AP and Breathing Lateral 26–60+ kg weight range only
Lumbar Spine AP and Lateral
Skull AP and Lateral
Skull AP, Lateral, Townes and SMV
Skeletal Survey – Non‐Accidental Injury Skull AP, Skull Lateral, AP Chest (for ribs), Oblique Ribs Bilateral, AP Abdomen incl. Pelvis, Lateral Spine, Lateral Sternum, Bilateral AP Femur, Bilateral AP Tibia/Fibula, Bilateral Feet, Bilateral AP Humeri, Bilateral AP Forearms, Bilateral AP Hands
Skeletal Survey – Bone Dysplasia Skull AP, Skull Lateral, AP Chest (for ribs), AP Abdomen incl. Pelvis, Lateral Spine, Bilateral AP Femur, Bilateral AP Tibia/Fibula, Bilateral Feet, AP Humerus, Bilateral AP Forearms, AP Hand

Anterior–Posterior.

Submentovertex.

Table 2.

Exposure chart for commonly performed paediatric general radiography procedures at RCH. Shaded cell indicates exam performed with grid. Source to detector distance 100 cm out of bucky, 110 cm with grid and or in bucky (chest radiographs at 125 cm).

Exam kVp Range mAs
3–7 kg 8–15 kg 16–25 kg 26–40 kg 41–60 kg 60+ kg
Chest AP /PA 70–90 0.71 0.8 1 1.2 1.4 2
Chest Lateral 70–100 1 1.6 2 2.5 3.2 4
Sternum Lateral 65–75 4 6 12 16 20 32
Chest AP for Ribs 65–70 4 4.5 8 12 14 20
Ribs Bilateral Oblique 65–70 4 4.5 8 12 14 20
Abdomen AP 60–70 0.8 1 2 8 16 25
Abdomen AP (including pelvis) 70–75 4 5 8 10 14 25
Shoulder AP 55–65 1 1.4 2 4 10 14
Shoulder Lateral 60–70 1.6 2 3 4 14 18
Humerus AP 55–65 1.2 1.4 1.6 2 2.5 3
Forearm AP 52–55 1 1.4 1.6 2 2.5 3
Hands AP 50–55 1 1.2 1.2 1.4 1.6 2
Pelvis AP 70–75 1.4 1.6 2 8 10 20
Femur Bilateral AP 55–65 1 1.4 1.6 2 8 10
Knee AP/Lateral 55–65 1 1.2 1.4 2 2.4 3.2
Tibia/Fibula AP/Lateral (including bilateral) 55–65 1 1.2 1.4 2 2.4 3.2
Ankle AP/Mortise/Lateral 55 1 1.2 1.2 1.6 2 3
Foot AP/Oblique/Lateral 50–55 0.8 1 1 1.4 1.6 2
Cervical Spine AP/Odontoid 65–75 2 2.5 3 4 5 10
Cervical Spine Lateral 65–75 2 2.5 3 4 5 10
Cervical Spine Swimmers 77–85 20 30 40
Thoracic Spine AP 65–70 4 4.5 8 12 14 20
Thoracic Spine Lateral 65–75 4 6 12 16 20 32
Thoracic Spine Breathing Lateral 70–75 120 140 160
Lateral Spine AP 70–75 4 5 8 10 14 25
Lateral Spine Lateral 72–85 4 6 12 14 20 40
Skull AP/Lateral/Townes 65–75 6 8 10 12 14 16
Skull SMV § 65–75 8 10 12 14 16 18

Anterior–Posterior.

Posterior–Anterior.

§

Submentovertex.

The views listed in Table 1 were included to conservatively estimate the maximum effective dose and associated risk to the patient, however, in practice only the views that are clinically required would be performed. Examinations of the upper extremities could not be estimated using PCXMC due to the limitations of the program's phantoms. Consequently, dosimetry was estimated for upper extremities using published data that was adjusted for the exposure parameters used at the RCH by normalising for differences in mAs and kVp, that is calculating the ratio of the parameter (linear relationship for mAs, to the power of 2 for kVp) and multiplying the derived factor to the published dose. 21

The 50th percentile weight‐for‐age and body mass index (BMI) values published by the World Health Organization (WHO) in 2007 for female and male children from 0 to 18 years old were used to represent the average weight for each age. 22 Weight‐for‐age reference data were not available beyond age 10 so the weight was estimated based on the WHO published data for BMI and height for ages 11–18 (weight = BMI/square of the height). 22

Calculations and statistical analyses were performed using Microsoft Excel (Microsoft 365). The effective doses were calculated for the weight ranges 3–7, 8–15, 16–25, 26–40, 41–60 kg and 60+ kg using the corresponding anthropomorphic PCXMC phantom (0, 1, 5, 10 and 15 years modified to 176.1 m and 67.3 kg to reflect the median height and weight data for an 18 year old male, respectively). The PCXMC phantom for a 15‐year‐old (168.1 m and 56.3 kg) was suitable for use to model an 18‐year‐old female using the median WHO data (163.1 m and 56.7 kg). The adult phantom (178.6 m and 73.2 kg) was too large to model the median 18‐year‐old male and such as the decision was made to modify the 15‐year‐old phantom for the dosimetry. The RCH general radiography exposure chart provides the recommended kVp and mAs based on these weight ranges (Table 2). As noted in ICRP Publication 135, weight bands are recommended for establishing DRLs given that individual patient size does not correlate well with patient age. 23 The median weight for male and female children was used to estimate the typical kVp and mAs used for each patient sex as per Table 2. For example, a chest anterior–posterior radiograph of a newborn female weighing 3.2 kg would have the lower exposure parameters of 70 kVp and 0.71 mAs, a 20 kg male or female 6 year old would use 75 kVp and 1 mAs and a 65 kg male 17 year old would use the upper exposure parameters of 90 kVp and 2 mAs.

Using the same approach as the authors' previous publication, 10 the lifetime attributable risk of cancer incidence was estimated using the calculated effective doses and data provided in the Biological Effects of Ionising Radiation VII (BEIR VII) report, linearly interpolating for risk estimates for the in‐between ages. 2 BEIR VII provides lifetime risk estimates for cancer incidence and cancer mortality resulting from a single dose of 0.1 Gy (100 mSv) at several specific ages for males and for females (Tables 12D‐1 and 12D‐2 in the BEIR VII report). These lifetime risk estimates can be used for other exposure scenarios such as the effective doses from the general radiography examinations calculated in this work. The risk of cancer incidence (all cancers) is higher than the risk of cancer mortality (all cancers) and as such cancer incidence is used here for the classification and communication of risk. For example, using data from BEIR VII, if 100,000 5‐year‐old male persons were exposed to a single dose of 0.1 Gy, it is expected that there would be an additional 1816 cases of cancer incidence (all cancers). Therefore, the risk from exposure to 1 mSv as a 5‐year‐old male is estimated as (0.001 Sv/0.1 Sv) × 1816 = 18.2 excess cancer incidence per 100,000 or 0.0182%. This can also be expressed as a ‘1 in …’ statement which in this example is 1 in 1/(18.2/100,000) = 1 in 5507.

Calman's risk classification and terminology was used to categorise the level of risk (i.e. risk of cancer incidence, e.g. 1 in 5507) by comparing the level of risk with the published classifications (Table 3). 13

Table 3.

Risk classifications and terminology proposed by Calman. 13

Terminology Risk Range
Negligible Less than 1 in 1000,000
Minimal 1 in 100,000–1 in 1000,000
Very Low 1 in 10,000–1 in 100,000
Low 1 in 1000–1 in 10,000
Moderate 1 in 100–1 in 1000
High More than 1 in 100

The BERT was calculated using the typical effective dose for each examination and the Australian natural background radiation dose of 1.5 mSv per annum. 12 The BERT was converted into hours, days or months as appropriate for communication with patients and carers.

BERT=typical effective dosemSv/1.5mSvperannum.

The equivalent in international flight time was calculated using the typical effective dose for each examination, the quoted effective dose for a return flight between Melbourne and London of 0.11 mSv, and a typical return flight time of 46 hours. 24 The international flight time was converted into hours for communication with patients and carers.

International Flight Timehours=typical effective dosemSv/0.00239mSv/hour.

The statistical analysis consisted of determining the maximum effective dose and associated BEIR VII risk and Calman risk category of the female and male estimates for the previously stated weight ranges. The maximum value in each weight range was used to conservatively represent that weight range.

Results

Table 4 lists the typical effective doses, highest BEIR VII lifetime risk of cancer incidence (rounded as appropriate) and the associated Calman risk category for the included 20 examinations. It was observed that the effective doses did not vary significantly between weight ranges for some examinations and therefore the data could be summarised as shown in Figure 1, providing a simple standardised approach for the communication of risk in a paediatric setting which includes the typical effective dose, risk of cancer incidence, level of risk, BERT and equivalent international flight time.

Table 4.

Typical effective doses and lifetime risk of cancer incidence for general radiography examinations at the RCH.

Exam Weight Range (kg) Estimated Effective Dose (mSv) Highest Cancer Incidence Risk (1 in) Risk Category
Chest AP 3–7 0.007 283,000 Minimal
8–15 0.008 275,000 Minimal
16–25 0.014 216,000 Minimal
26–40 0.022 171,000 Minimal
41–60 0.024 208,000 Minimal
60+ 0.033 166,000 Minimal
Chest Lateral 3–7 0.007 317,000 Minimal
8–15 0.012 193,000 Minimal
16–25 0.017 178,000 Minimal
26–40 0.027 133,000 Minimal
41–60 0.038 105,000 Minimal
60+ 0.047 116,000 Minimal
Abdomen AP 3–7 0.010 201,000 Minimal
8–15 0.013 167,000 Minimal
16–25 0.030 99,700 Very low
26–40 0.130 29,600 Very low
41–60 0.178 26,900 Very low
60+ 0.286 19,300 Very low
Shoulder AP 3–7 0.003 748,000 Minimal
8–15 0.004 570,000 Minimal
16–25 0.006 494,000 Minimal
26–40 0.015 261,000 Minimal
41–60 0.021 238,000 Minimal
60+ 0.028 201,000 Minimal
Shoulder Lateral 3–7 0.001 2,326,000 Negligible
8–15 0.001 2,780,000 Negligible
16–25 0.002 1,742,000 Negligible
26–40 0.003 1,292,000 Negligible
41–60 0.007 655,000 Minimal
60+ 0.008 698,000 Minimal
Pelvis AP 3–7 0.011 182,000 Minimal
8–15 0.012 187,000 Minimal
16–25 0.015 192,000 Minimal
26–40 0.058 66,500 Very low
41–60 0.065 74,500 Very low
60+ 0.124 44,700 Very low
Knee AP and Lateral 3–7 <0.001 10,470,000 Negligible
8–15 <0.001 11,120,000 Negligible
16–25 <0.001 13,670,000 Negligible
26–40 <0.001 18,090,000 Negligible
41–60 <0.001 20,900,000 Negligible
60+ <0.001 43,820,000 Negligible
Tibia/Fibula AP and Lateral 3–7 <0.001 5,233,000 Negligible
8–15 <0.001 5,559,000 Negligible
16–25 <0.001 6,836,000 Negligible
26–40 <0.001 6,029,000 Negligible
41–60 <0.001 10,450,000 Negligible
60+ <0.001 21,910,000 Negligible
Ankle AP, Mortise and Lateral 3–7 <0.001 20,930,000 Negligible
8–15 <0.001 11,120,000 Negligible
16–25 <0.001 27,350,000 Negligible
26–40 <0.001 36,180,000 Negligible
41–60 <0.001 87,610,000 Negligible
60+ <0.001 125,200,000 Negligible
Foot AP, Oblique and Lateral 3–7 <0.001 20,930,000 Negligible
8–15 <0.001 11,240,000 Negligible
16–25 <0.001 74,030,000 Negligible
26–40 <0.001 90,440,000 Negligible
41–60 <0.001 219,030,000 Negligible
60+ <0.001 292,140,000 Negligible
Cervical Spine AP and Lateral 3–7 0.011 174,000 Minimal
8–15 0.014 148,000 Minimal
Cervical Spine AP, Odontoid and Lateral 16–25 0.021 137,000 Minimal
26–40 0.026 147,000 Minimal
41–60 0.034 127,000 Minimal
60+ 0.059 93,500 Very low
Cervical Spine AP, Odontoid, Lateral and Swimmers 26–40 0.039 97,800 Very low
41–60 0.056 78,900 Very low
60+ 0.091 60,600 Very low
Thoracic Spine AP and Lateral 3–7 0.035 59,800 Very low
8–15 0.041 54,200 Very low
16–25 0.071 38,000 Very low
26–40 0.103 35,100 Very low
41–60 0.144 28,800 Very low
60+ 0.202 27,300 Very low
Thoracic Spine AP and Breathing Lateral 26–40 0.317 11,200 Very low
41–60 0.445 9400 Low
60+ 0.595 9300 Low
Lateral Spine AP and Lateral 3–7 0.050 41,900 Very low
8–15 0.058 38,300 Very low
16–25 0.094 27,600 Very low
26–40 0.131 27,200 Very low
41–60 0.183 22,100 Very low
60+ 0.326 16,900 Very low
Skull AP and Lateral 3–7 0.025 83,700 Very low
8–15 0.025 89,000 Very low
16–25 0.026 105,000 Minimal
26–40 0.026 139,000 Minimal
41–60 0.028 149,000 Minimal
60+ 0.031 178,000 Minimal
Skull AP, Lateral, Townes and SMV 3–7 0.054 38,800 Very low
8–15 0.054 41,200 Very low
16–25 0.056 49,700 Very low
26–40 0.054 67,000 Very low
41–60 0.059 72,100 Very low
60+ 0.066 83,600 Very low
Skeletal Survey – Non‐Accidental Injury 3–7 0.245 8400 Low
8–15 0.272 8200 Low
16–25 0.464 5600 Low
26–40 0.724 4900 Low
41–60 0.869 4600 Low
60+ 1.321 6500 Low
Skeletal Survey – Bone Dysplasia 3–7 0.184 11,600 Very low
8–15 0.205 11,100 Very low
16–25 0.324 8000 Low
26–40 0.489 7400 Low
41–60 0.617 6700 Low
60+ 0.960 9000 Low

Anterior–Posterior.

Submentovertex.

Figure 1.

Figure 1

Typical effective doses, risk of cancer incidence, level of risk, comparison with natural background equivalent radiation time (BERT) of 1.5 mSv per annum and comparison with international flight time for commonly performed for general radiography examinations at the RCH.

Discussion

The typical effective doses for 20 of the most commonly performed paediatric general radiography examinations were estimated using the weight‐based imaging protocols employed at our institution. The effective doses were used to estimate and categorise associated age‐based stochastic risks with commonly used risk terminology to facilitate the communication of risk to patients and carers. This mirrored the approach used by the authors in their earlier publication for estimating age‐dependent organ and effective doses and the associated lifetime risk of cancer incidence and level of risk for the six most commonly performed nuclear medicine and PET procedures at RCH for children aged 0–18 years using published organ and effective dose coefficients and commonly used risk terminology. 10

As noted in ICRP Publication 128, effective dose can be a useful tool for comparing doses related to stochastic effects from other radiological procedures, similar or otherwise, performed at other institutions provided that the populations involved are of similar age and patient sex. 25 Using age‐ and patient sex‐specific risk factors such as those provided in BEIR VII allow us to estimate the risk of developing a cancer from a particular procedure, additional to the lifetime baseline risk.

Whilst Table 2 provides exposure parameters for certain weight ranges, it was found that in some instances, the effective dose and associated stochastic risk values were sufficiently similar that some weight ranges could be combined to simplify the presentation of information. The grouping where possible also allowed for brevity in formatting of the final data for presentation and use (Fig. 1).

There are significant limitations involved in using the currently available data and information such as those provided in PCXMC, ICRP and BEIR VII documents for estimating an individual's dose and associated risk. Individuals who differ considerably from the body size and shape assumed in the calculations will have significantly different effective doses and risk estimates than those presented in Table 4 and Figure 1. 25 There are many uncertainties inherent in the factors used to estimate effective dose, with nominal risk coefficients unable to be applied to specific individuals. 1 Future work may include patient cohort studies investigating patient exposures, exposure indices and establishing local Diagnostic Reference Levels.

The accuracy of the PCXMC program has been well validated and its limitations well documented. 26 , 27 , 28 , 29 Incident air kerma for each exposure was based on the PCXMC estimate from the tube current‐time product (mAs) with a reported accuracy of about 30% (two standard deviations). 26

Another limitation is modelling and estimating the dosimetry for upper extremities. As noted earlier, our dose estimates for humerus, forearm and hand were obtained by normalising published data for the exposure parameters (i.e. correcting for differences in kVp and mAs to account for a different beam quantity). It was not possible to account for other differences such as total beam filtration, source to skin and source to detector differences as this information was not provided in the published literature.

The estimated effective doses and associated risks can be used as a guide, with caution, for patients whose weight is significantly below or above the median weight for their age. The information is presented in large weight ranges therefore, for these patient cohorts, healthcare professionals can use the estimates to provide an approximate magnitude of dose and risk.

It should be noted that the information presented is for a single occurrence of the relevant examination. Some patients may require multiple radiographic examinations over time and the risk of stochastic effects is cumulative (additive) over a person's lifetime. 2 , 30 The risk from each individual examination is unchanged (e.g. a second chest radiograph carries the same risk as the first chest radiograph assuming they are performed within a certain period of time due to changes in stochastic risk with age) but combined they can be used to estimate the cumulated lifetime risk from all their examinations. For personalised risk estimates in these situations, a medical physicist should be consulted.

It is important that every imaging examination or procedure is appropriately justified by a radiation medical practitioner which includes comparing the clinical benefit of performing the examination with the radiation related risks. 1 These should be explained to the patient and carer as part of the consent process. Risks are often personalised by patients and carers, especially in stressful situations, so it is important the appropriate information is provided by healthcare professionals in a manner that is easily understood alongside the fact that the risk of not performing the examination may lead to a far more significant risk (e.g. missed diagnosis). 5 , 31 , 32 A person's previous health care experiences, social factors, education, belief systems and values as well as any emotions being experienced at the time (e.g. fear, anger, frustration) can affect how a person evaluates the risk. 31 Whilst a ‘one in a million’ level of risk may be perceived as a low (or negligible if using Calman's classification) risk by the medical and scientific community, there will be patients and carers who personalise that risk as they being that ‘one’. 31 It should also be noted that not all patients and carers are numerically literate and may be confused by a ‘1 in ….’ statement. For example, misinterpreting a 1 in 5000 chance as being a greater risk than a 1 in 500 chance. Therefore, the healthcare professionals should ensure that the risk is explained to a level that the patient and carer can understand. The Calman classifications may be appropriate for patients and carers that are not numerically literate and may be applied to explaining the risks and benefits of other medical procedures (e.g. surgery and anaesthetics).

As a result of this study, Figure 1 has been produced, providing a useful tool for radiographers and radiologists when communicating with the patient and their carers before, during and the after the examination. It, or one similar, can also be used by referring clinicians and radiologists when weighing up the radiation risks with the clinical benefits of a general radiography examination, or other modality such as CT, for their patients.

Conclusion

Typical effective doses from common paediatric general radiography examinations and the associated lifetime risk of cancer incidence and level of risk have been established for our institution. This work can be used to standardise the approach for communicating radiation dose and associated risk information in a paediatric setting. The information presented in this paper, namely Figure 1, can be used to convey risks to health professionals, patients and carers in ways that are easy to understand and compare with other everyday risks. Also, it can be used by referring clinicians, radiographers and radiologists when weighing up the radiation risks with the clinical benefits of the procedure for their patients.

Data Availability Statement

All data generated or analysed during this study are included in this published article.

References

  • 1. International Commission on Radiological Protection (ICRP) . The 2007 Recommendations of the International Commission on Radiological Protection. ICRP Publication 103. Ann ICRP 2007: 37. [DOI] [PubMed] [Google Scholar]
  • 2. Committee to Assess Health Risks from Exposure to Low Levels of Ionizing Radiation, National Research Council . Health Risks from Exposure to Low Levels of Ionizing Radiation: BEIR VII Phase 2. Available from http://nap.edu/11340. 2006. [PubMed]
  • 3. International Commission on Radiological Protection (ICRP) . Radiological protection in paediatric diagnostic and interventional radiology. ICRP Publication 121. Ann ICRP 2013; 42: 19–22. [DOI] [PubMed] [Google Scholar]
  • 4. United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR) . UNSCEAR 2013 Report to the General Assembly with Scientific Annexes. Volume II Scientific Annex B: Effects of Radiation Exposure of Children. United Nations, New York, 2013. [Google Scholar]
  • 5. Bibbo G. Effective doses and standardised risk factors from paediatric diagnostic medical radiation exposures: Information for radiation risk communication. J Med Imaging Radiat Oncol 2018; 62: 43–50. [DOI] [PubMed] [Google Scholar]
  • 6. Brindhaban A, Eze CU. Estimation of radiation dose during diagnostic X‐ray examinations of newborn babies and 1‐Year‐old infants. Med Princ Pract 2006; 15: 260–5. [DOI] [PubMed] [Google Scholar]
  • 7. Ward R, Carroll WD, Cunningham P, et al. Radiation dose from common radiological investigations and cumulative exposure in children with cystic fibrosis: an observational study from a single UK centre. BMJ Open 2017; 7: e017548. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Nahangi H, Chaparian A. Assessment of radiation risk to pediatric patients undergoing conventional X‐ray examinations. Radioprotection 2015; 50: 19–25. [Google Scholar]
  • 9. Kiljunen T, Tietavainen A, Parviainen T, Viitala A, Kortesniemi M. Organ doses and effective doses in pediatric radiography: Patient‐Dose Survey in Finland. Acta Radiol 2009; 50: 114–24. [DOI] [PubMed] [Google Scholar]
  • 10. Earl VJ, Baker LJ, Perdomo AA. Effective doses and associated age‐related risks for common paediatric diagnostic nuclear medicine and PET procedures at a large Australian paediatric hospital. J Med Imaging Radiat Oncol 2021; 66: 7–13. [DOI] [PubMed] [Google Scholar]
  • 11. American College of Radiology . ACR Appropriateness Criteria. Radiation Dose Assessment Introduction. Available from https://www.acr.org; Accessed 28 December 2018.
  • 12. Australian Radiation Protection and Nuclear Safety Agency . ARPANSA Fact Sheet – Medical Imaging: Information for Patients. Available from http://www.arpansa.gov.au. Accessed 09 January 2020.
  • 13. Calman KC. Cancer: science and society and the communication of risk. Br Med J 1996; 313: 799–802. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Australian Radiation Protection and Nuclear Safety Agency . Code of Practice for the Exposure of Humans to Ionizing Radiation for Research Purposes, Radiation Protection Series Publication No. 8. 2005.
  • 15. Cameron JR. Low Dose Radiation Hormesis & Adaptive Response Web Site. Available from http://www.angelfire.com/mo/radioadaptive/jcameron1.html; Accessed 09 January 2020.
  • 16. Peck DJ, Samei E. How to Understand and Communicate Radiation Risk Available from https://www.imagewisely.org/Imaging‐Modalities/Computed‐Tomography/How‐to‐Understand‐and‐Communicate‐Radiation‐Risk; Accessed 15 April 2021.
  • 17. Skinner S. Radiation safety. Aust Fam Physician 2013; 42: 387–9. [PubMed] [Google Scholar]
  • 18. Meinel FG, Nance JW, Harris BS, De Cecco CN, Costello P, Schoepf J. Radiation risks from cardiovascular imaging tests. Circulation 2014; 130: 422–45. [DOI] [PubMed] [Google Scholar]
  • 19. National Safety Council . Injury Facts ‐ All Injuries ‐ Preventable Deaths ‐ Odds of Dying. Available from https://injuryfacts.nsc.org/all‐injuries/preventable‐death‐overview/odds‐of‐dying/; Accessed 15 April 2021.
  • 20. Wieder JS. Communicating radiation risk: The power of planned, persuasive messaging. Health Phys 2019; 116: 207–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Huda W, Gkanatsios N. Radiation dosimetry for extremity radiographs. Health Phys 1998; 75: 492–9. [DOI] [PubMed] [Google Scholar]
  • 22. World Health Organisation . The WHO Child Growth Standards. Available from https://www.who.int/childgrowth/standards/en/; Accessed 09 August 2019.
  • 23. International Commission on Radiological Protection (ICRP) . Diagnostic reference levels in medical imaging. ICRP Publication 135. Ann ICRP 2017; 46(1): 91–8. [DOI] [PubMed] [Google Scholar]
  • 24. Australian Radiation Protection and Nuclear Safety Agency . ARPANSA Fact Sheet ‐ Ionisng Radiation and Health. 2015.
  • 25. International Commission on Radiological Protection (ICRP) . Radiation dose to patients from radiopharmaceuticals: A compendium of current information related to frequently used substances. ICRP Publication 128. Ann ICRP 2015; 44: 30–1. [DOI] [PubMed] [Google Scholar]
  • 26. Tapiovaara M, Siiskonen T. PCXMC A Monte Carlo program for calculating patient doses in medical x‐ray examinations (2nd Ed.). Report STUK‐A139 2008. Radiation and Nuclear Safety Authority, Finland (STUK), 2008. [Google Scholar]
  • 27. Servomaa A, Tapiovaara M. Organ dose calculation in medical X‐ray examinations by the program PCXMC. Radiat Prot Dosimetry 1998; 80: 213–9. [Google Scholar]
  • 28. Khelassi‐Toutaoui N, Berkani Y, Tsapaki V, et al. Experimental evaluation of PCXMC and prepare codes used in conventional radiology. Radiat Prot Dosimetry 2008; 131: 374–8. [DOI] [PubMed] [Google Scholar]
  • 29. Schmidt P, Dance D, Skinner C, Castellano Smith I, McNeill J. Conversion factors for the estimation of effective dose in paediatric cardiac angiography. Phys Med Biol 2000; 45: 3095–107. [DOI] [PubMed] [Google Scholar]
  • 30. International Commission on Radiological Protection (ICRP) . Radiological protection in medicine. ICRP Publication 105. Ann ICRP 2007; 37: 17–8, 27, 56–7. [DOI] [PubMed] [Google Scholar]
  • 31. World Health Organisation . Communicating radiation risks in paediatric imaging. Information to support healthcare discussions about benefit and risk. 2016.
  • 32. Balter S, Zanzonico P, Reiss GR, Moses JW. Radiation is not the only risk. Am J Roentgenol 2011; 196: 762–7. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

All data generated or analysed during this study are included in this published article.


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