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Erschienen in: BMC Medical Imaging 1/2020

Open Access 01.12.2020 | Research article

Patient-adapted organ absorbed dose and effective dose estimates in pediatric 18F-FDG positron emission tomography/computed tomography studies

verfasst von: Brian M. Quinn, Yiming Gao, Usman Mahmood, Neeta Pandit-Taskar, Gerald Behr, Pat Zanzonico, Lawrence T. Dauer

Erschienen in: BMC Medical Imaging | Ausgabe 1/2020

Abstract

Background

Organ absorbed doses and effective doses can be used to compare radiation exposure among medical imaging procedures, compare alternative imaging options, and guide dose optimization efforts. Individual dose estimates are important for relatively radiosensitive patient populations such as children and for radiosensitive organs such as the eye lens. Software-based dose calculation methods conveniently calculate organ dose using patient-adjusted and examination-specific inputs.

Methods

Organ absorbed doses and effective doses were calculated for 429 pediatric 18F-FDG PET-CT patients. Patient-adjusted and scan-specific information was extracted from the electronic medical record and scanner dose-monitoring software. The VirtualDose and OLINDA/EXM (version 2.0) programs, respectively, were used to calculate the CT and the radiopharmaceutical organ absorbed doses and effective doses. Patients were grouped according to age at the time of the scan as follows: less than 1 year old, 1 to 5 years old, 6 to 10 years old, 11 to 15 years old, and 16 to 17 years old.

Results

The mean (+/− standard deviation, range) total PET plus CT effective dose was 14.5 (1.9, 11.2–22.3) mSv. The mean (+/− standard deviation, range) PET effective dose was 8.1 (1.2, 5.7–16.5) mSv. The mean (+/− standard deviation, range) CT effective dose was 6.4 (1.8, 2.9–14.7) mSv. The five organs with highest PET dose were: Urinary bladder, heart, liver, lungs, and brain. The five organs with highest CT dose were: Thymus, thyroid, kidneys, eye lens, and gonads.

Conclusions

Organ and effective dose for both the CT and PET components can be estimated with actual patient and scan data using commercial software. Doses calculated using software generally agree with those calculated using dose conversion factors, although some organ doses were found to be appreciably different. Software-based dose calculation methods allow patient-adjusted dose factors. The effort to gather the needed patient data is justified by the resulting value of the characterization of patient-adjusted dosimetry.
Hinweise

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Abkürzungen
18F-FDG-2
18-Fluoro-2-deoxy-D-glucose
AAPM
American Association of Physicists in Medicine
ACR
American College of Radiology
BSA
Body Surface Area; CT-Computed Tomography
CTAC
CT Attenuation Correction
CTDIvol
Volumetric Computed Tomography Dose Index
DLP
Dose Length Product
EANM
European Association of Nuclear Medicine
ED
Effective Dose
ICRP
International Council on Radiation Protection
MIRD
Medical Internal Radiation Dose Committee
PET
Positron Emission Tomography
TCM
Tube Current Modulation;

Background

About half of the ionizing radiation exposure to the United States population is estimated to be from medical imaging procedures, including radiopharmaceutical imaging and computed tomography [1]. Through the combination of physiological information from positron emission tomography (PET) and anatomical information from computed tomography (CT), PET-CT has become established prominently in the diagnosis and treatment monitoring of many types of cancer. The sequential acquisition of PET and CT images in 2–18-Fluoro-2-deoxy-D-glucose (18F-FDG) PET-CT results in patient radiation dose from both imaging modalities but the risk incurred from this radiation dose is generally thought to be justified by the benefit of the diagnostic information obtained from the scan. Previous studies of 18F-FDG PET-CT dosimetry have reported adult effective dose (E) of 13 to 32 mSv and pediatric (E) of 7 to 29 mSv [26]. The wide range of reported PET-CT effective doses reflects varying conventions and technical parameters of use of CT in PET-CT examination, variations in injected 18F-FDG activity, range of patient age and body sizes as well as varying dosimetry methodologies. With radiation dose from each scan and multiple scans over the course of disease management, optimization of radiation dose in 18F-FDG PET-CT is especially important for children, who have longer life expectancy over which to undergo multiple scans and are generally thought to be more radiosensitive than adults [7]. While E is useful for comparison of ionizing radiation procedures, it should not be used to assess individual detriment and is used most appropriately in radiation protection for setting secondary limits for intakes of radionuclides and for ensuring that exposure limits for radiation workers are not exceeded [8, 9]. Tissue weighting factors, based on population-averaged values, as used in the calculation of E, make E no more a reliable indicator of individual detriment than population-based organ-specific factors [10]. In the current paradigm of radiation protection, the known relationship between dose and risk at higher radiation dose is assumed to extrapolate linearly to that at lower dose, and children are considered to be at greater risk of developing radiation-induced tumors due to their life expectancy and higher radiosensitivity of select tissues [7, 1012]. The basis for the belief of relatively higher risk for children demonstrated in a report by the National Research Council is challenged by some in light of their view that the risks at low radiation doses such as those incurred during medical imaging procedures are not unequivocally supported by current epidemiological data [13, 14]. The limitations of popular approaches to risk quantification are widely recognized. In their overview of the debate surrounding the use of the linear no-threshold dose-response model, Zanzonico and Weber acknowledge that the uncertainty in correlation between diagnostic radiation dose and detriment propagates to the process of making clinical decisions for individual patients [15].
Despite debated cogency of linear extrapolation of risk from known, higher doses to that at diagnostic imaging levels, and despite critical acceptance of the relative radiosensitivity of the pediatric population, various ongoing efforts attempt to optimize and limit pediatric medical imaging radiation dose. The Image Gently Alliance advocates for safe and effective imaging care of children and raising awareness in the imaging community of the need to adjust radiation dose when imaging children [16]. The Image Gently campaign addressed radiation dose from both CT and PET scans through guidelines brought forth by founding and alliance organizations. Image Gently maintains published suggestions for either developing CT protocols for children or verifying that current pediatric protocols are appropriate, and the Alliance for Quality Computed Tomography of the American Association of Physicists in Medicine (AAPM) has developed reference pediatric CT protocols [17, 18]. The American College of Radiology (ACR) introduced the CT Dose Index Registry in 2011 to facilitate the collection and comparison of CT dose indices, although pediatric data are not currently included [19]. In 2008 the European Association of Nuclear Medicine (EANM) first published suggested pediatric nuclear medicine injected activities, and in 2011 the North American consensus guidelines recommended a similar set of administered activities for pediatric nuclear medicine. The pediatric radiopharmaceutical administered activity currently recommended by Image Gently is based on the 2016 update to the North American Consensus Guidelines and notes the EANM dosage card may also be used for some radiopharmaceuticals [20]. Such efforts to make available typical radiation doses and standardize some aspects of pediatric medical imaging provide a framework for optimization, with the intent that patient radiation dose is minimized while maintaining diagnostic utility of the resulting images. In previous studies of optimization of pediatric PET-CT, including non-18F-FDG PET-CT, other authors recognize the contribution of both modalities to total patient radiation dose and the authors reveal opportunities to optimize aspects of both [21, 22]. For example, patient preparation, immobilization, use of recommended administered activities, and careful selection of CT protocol all ensure image quality while optimizing patient radiation [23]. In an exploration of operational and dosimetric aspects of pediatric PET-CT, the challenges of imaging children are recognized along with optimization opportunities, with an emphasis on the importance of understanding the role of CT in this examination [24]. CT technique is chosen based on the objective of the examination, which may require high-resolution delineation of organs, bones, soft tissue or blood vessels. In the case of PET-CT, x-rays from CT are used to construct an attenuation map of density differences throughout the body that can then be used to correct for the absorption of the photons emitted from 18F decay. This process of so-called CT attenuation correction (CTAC) is indirectly related to image formation and delivers less radiation dose than a CT technique intended to primarily provide images with useful diagnostic information. Previous studies have reported adult CT E from CTAC-only as 1.3 to 4.5 mSv, and one estimate of pediatric diagnostic whole-body CT E as high as 28 mSv [21, 25, 26].
Dose estimation methodology itself is integral to optimization and understanding the role of the many factors contributing to patient radiation dose in medical imaging [27]. A dosimetry method may consist of a dose coefficient applied to an examination-specific parameter such as injected activity or may employ computer simulation data based on a simplistic or anatomically realistic phantom. CT radiation dose, for example, may be estimated based on a singular CT dose metric or a computer simulation of the radiation from the specific CT model and using an anatomically realistic phantom. The latest versions of commercially available internal dose estimation software remain rooted in the methodology developed by the Medical Internal Radiation Dose (MIRD) Committee of Society of Nuclear Medicine and Molecular Imaging and offer a choice of many anatomically realistic phantoms with the latest tissue weighting factors, while reporting both organ and E for many radionuclides [28]. Likewise, modern CT dosimetry software is based on a comprehensive database of organ doses derived from Monte Carlo simulations involving a library of anatomically realistic phantoms [29]. A dosimetry method utilizing exam-specific information is more precise and therefore more valuable than one that does not. In this sense, the investigation of results utilizing the latest methodology is a pursuit of more valuable information.
The purpose of this study was to take advantage of the pediatric oncology patient population at our institution and available dosimetry software to evaluate a large pediatric patient cohort with patient-adjusted information. Patient-adjusted organ dosimetry of pediatric oncology patients undergoing 18F-FDG was performed utilizing patient-size parameters, individual injected activity and actual scan parameters. The PET portion was evaluated using OLINDA/EXM version 2.0 (OLINDA 2.0, Vanderbilt University), while the CT portion was evaluated using VirtualDose CT (Virtual Phantoms, Inc.). The results of this study are useful to evaluate the practicality of these methods and to characterize our patient population and reveal opportunities for optimization.

Methods

Organ absorbed doses and E were calculated for 429 pediatric 18F-FDG PET-CT examinations performed over a 2-year period, comprised of 198 unique patients. A waiver of informed consent was obtained from the Institutional Review Board for retrospective review of patient data. GE DoseWatch software (GE Healthcare, Waukesha, WI) was used to identify pediatric PET-CT protocols in the desired examination date range. The following patient-adjusted and examination-specific information was recorded from the patient medical record and CT dose monitoring software: Age at scan time, gender, body mass, injected activity (MBq), x-ray tube voltage (kVp), x-ray tube current (mA), mAs/rotation, mAs-normalized weighted CT dose index (CTDIw/100 mAs), pitch, and volume CT dose index (CTDIvol). 18F-FDG activity to be administered (Ainj) was determined for pediatric patients as the ratio of patient body surface area (BSAped, m2) to that of adult body surface area, multiplied by the nominal adult injected activity of 12 mCi (444 MBq) [30].
$$ {\mathrm{A}}_{\mathrm{inj}}\ \left(\mathrm{MBq}\right)=\left({\mathrm{BSA}}_{\mathrm{ped}}/1.77\right)\ast 444 $$
Injected activity is summarized in Table 1.
Table 1
Injected Activity
 
All ages
<  1 Y
1–5 Y
6–10 Y
11–15 Y
16–17 Y
N
429
3
60
118
167
81
Mean Injected 18F-FDG Activity (MBq)
300
96
178
282
389
427
Standard Deviation
104
8.2
35.5
61
50.6
28.6
Min
87.3
87
122
200
285
374
Max
477.3
104
237
477
477
477
<1Y = patients aged less than one year at scan time
1-5Y = patients aged one year to five years old at scan time
6-10Y = patients aged five years to ten years old at scan time
11-15Y = patients aged eleven to fifteen years old at scan time
16-17Y = patients aged sixteen to seventeen years old at scan time
Patients were divided into five groups according to age at the time of the examination: less than 1 year old (< 1), one to 5 years old (1–5), six to 10 years old (6–10), 11 to 15 years old (11–15), and 16 to 17 years old (16, 17).
A summary of patient body masses is presented in Table 2.
Table 2
Patient body mass
 
All ages
<  1 Y
1–5 Y
6–10 Y
11–15 Y
16–17 Y
N
429
3
60
118
167
81
Median Body Mass, kg
32.3
7.5
15.7
27.4
48.3
62.3
Standard Deviation
19.2
0.2
4.5
11.9
12.1
11.6
Min
7.1
7.1
9.9
19.4
35
45.4
Max
87
7.5
27.2
68
77.6
87
<1Y = patients aged less than one year at scan time
1-5Y = patients aged one year to five years old at scan time
6-10Y = patients aged five years to ten years old at scan time
11-15Y = patients aged eleven to fifteen years old at scan time
16-17Y = patients aged sixteen to seventeen years old at scan time
All PET-CT examinations were performed with a GE Discovery 690 PET-CT, the CT portion comprised of a GE Lightspeed 16 CT unit.
The PET scan technique for all patients was a whole-body 3D PET protocol. The CT scan technique for all patients was an attenuation correction/localization (ACL) scan using a tube voltage and current selected based on patient body mass. Pitch factor was 0.98 or 1.38, rotation time 0.5 or 0.8 s, and tube potential 100 or 120 kVp. The tube current was specified according to body mass: less than 40 kg, 40 mA; 41–60 kg, 60 mA; 61–80 kg, 70 mA; 80–100 kg, 85 mA; and greater than 100 kg, 100 mA. A “scout” scan was performed at 10 mA prior to the ACL scan for gross anatomical visualization.
OLINDA/EXM Version 2.0 (Vanderbilt University) was used to calculate PET organ radiation absorbed doses and ED. The program requires specification of the radionuclide, organ residence times, and anatomic phantom. The program offers the choice of twenty-five human and ten animal (rodent) phantoms. The phantoms chosen for the current study include male or female newborn, 1-year-old, 5-year-old, 10-year-old, 15-year-old and adult. 18F-FDG residence times defined in ICRP 128 were used as input to the software [31]. Phantom was chosen by matching patient mass to the closest phantom mass, and phantom organ masses were scaled in the program by the ratio of the patient mass to the phantom mass. The program then produced dose factors for each organ, in terms of equivalent dose and E per unit injected activity (mSv/MBq). The dose factors were multiplied by the injected activity to obtain the total equivalent dose for each defined organ and the total E.
While the program produced factors of equivalent dose as mSv, due to the fact that 1 mSv is equal to 1 mGy for the radiations of concern, organ radiation absorbed dose is reported in Table 3 as mGy. Total colon dose was calculated by averaging the reported dose to the left colon, right colon and rectum.
Table 3
PET Organ Absorbed Dose (mGy)
 
All ages
<  1 Y
1–5 Y
6–10 Y
11–15 Y
16–17 Y
Adrenals
7.1
8.1
7.7
7.4
6.6
6.2
Brain
11.2
6.8
8.0
10.6
14
15
Breast
4.2
N/A
N/A
N/A
4.0
4.3
Colon
7.4
8.0
7.8
7.7
6.9
6.4
Esophagus
7.9
9.4
8.8
8.3
7.1
6.6
Eyes
5.7
6.3
5.9
5.9
5.5
5.3
Gall Bladder
6.9
7.6
7.2
7.2
6.5
6.2
Gonads
6.9
7.6
7.6
7.1
6.5
6.0
Heart
42
38
38
48
42
35
Kidneys
6.3
7.4
6.9
6.5
5.6
5.3
Liver
12
12
12
13
12
11
Lungs
11
13
12
12
10
10
Pancreas
7.3
8.4
7.9
7.6
6.6
6.2
Prostate/Uterus
10
9.4
10
11
10
8.5
Red Marrow
4.8
7.1
4.7
4.8
4.6
4.7
Small Intestine
6.9
8.1
7.6
7.2
6.2
5.7
Spleen
6.1
7.2
6.8
6.3
5.5
5.1
Stomach
6.6
7.6
7.2
6.9
6.1
5.7
Thymus
7.5
8.4
7.9
7.7
7.0
6.6
Thyroid
6.2
7.4
6.9
6.5
5.5
5.0
Bladder
49
46
54
51
46
42
<1Y = patients aged less than one year at scan time
1-5Y = patients aged one year to five years old at scan time
6-10Y = patients aged five years to ten years old at scan time
11-15Y = patients aged eleven to fifteen years old at scan time
16-17Y = patients aged sixteen to seventeen years old at scan time
N/A Not applicable, PET dose not calculated for these phantoms
VirtualDose CT (Virtual Phantoms, Inc.) was used to calculate CT organ absorbed doses and E. VirtualDose CT offers 23 phantoms and the phantoms used in this study were male and female newborn, 1-year-old, 5-year-old, 10-year-old, 15-year-old and adult. The phantom was chosen by matching patient mass to the closest phantom mass. CT absorbed dose (mGy) was reported by VirtualDose CT for the organs and tissues in Table 4. Breast dose is only reported in phantom age 15-year-old and older, breast dose reported in the table is gender averaged. Total colon dose was calculated by averaging the reported dose to the colon and rectosigmoid colon. The software also reported total E utilizing tissue weighting factors in Report 103 of the International Commission of Radiological Protection. Eye lens dose was among those reported by this software. Scan range was selected within the software to indicate the head-to-toe scan range used for all pediatric PET-CT protocols.
Table 4
CT Organ Absorbed Dose (mGy)
 
All ages
<  1 Y
1–5 Y
6–10 Y
11–15 Y
16–17 Y
Adrenals
5.9
4.5
5.6
5.8
6.0
7.0
Brain
6.1
4.3
5.3
5.9
6.6
7.8
Breast
5.4
4.0
5.4
5.5
5.3
5.9
Colon
6.7
4.8
6.4
6.8
6.8
7.3
Esophagus
6.4
5.0
6.2
6.3
6.2
7.4
Eyes
6.7
4.5
5.8
6.7
7.5
9.2
Eye Lens
7.0
4.1
5.9
7.0
8.0
9.9
Gall Bladder
6.0
4.6
5.9
6.2
5.9
5.9
Gonads
6.9
5.4
6.9
7.2
6.9
6.7
Heart
6.7
5.3
6.5
6.8
6.6
7.2
Kidneys
7.0
5.4
6.8
7.1
6.9
7.5
Liver
6.5
4.9
6.2
6.6
6.5
7.0
Lungs
6.6
5.3
6.4
6.7
6.6
7.2
Pancreas
6.0
4.8
6.0
6.2
5.9
6.3
Prostate/Uterus
6.1
4.6
6.1
6.2
5.9
6.4
Red Marrow
5.6
4.2
5.4
5.9
5.7
5.7
Small Intestine
6.3
4.7
6.1
6.4
6.3
6.9
Spleen
6.5
5.1
6.2
6.5
6.5
7.0
Stomach
6.3
4.8
6.1
6.5
6.6
6.4
Thymus
9.4
7.0
9.1
9.7
9.5
9.6
Thyroid
9.4
5.8
8.2
8.8
9.8
13.0
Bladder
6.6
5.0
6.6
6.8
6.5
6.9
<1Y = patients aged less than one year at scan time
1-5Y = patients aged one year to five years old at scan time
6-10Y = patients aged five years to ten years old at scan time
11-15Y = patients aged eleven to fifteen years old at scan time
16-17Y = patients aged sixteen to seventeen years old at scan time
The body masses of the phantoms used in VirtualDose CT and OLINDA are shown in Table 5.
Table 5
Phantom Masses, kg
 
VirtualDose
OLINDA/ICRP 89a
Newborn
3.27
3.5
1 y/o
9.39
10
5 y/o
16.45
19
10 y/o
30.16
32
15 y/o M
53.13
56
15 y/o F
52.24
53
A M
73
73
A F
60.1
60
1 y/o = 1-year-old phantom
5 y/o = 5-year-old phantom
10 y/o = 10-year-old phantom
15 y/o M = 15-year-old phantom, male
15 y/o F = 15-year-old phantom, female
A M = Adult male phantom
A F = Adult female phantom
aOLINDA/EXM V2.0 uses ICRP 89 phantom masses
For both PET and CT dose, genitourinary organ dose is reported as prostate for male and uterus for female. Gonad dose is estimated as testes for male and ovaries for female, and the gender average gonad dose is reported in the tables. Total organ radiation absorbed dose to a given organ was calculated as the sum of the doses from PET and from CT for that organ, as shown in Table 6.
Table 6
PET + CT Total Organ Absorbed Dose (mGy)
 
All ages
<  1 Y
1–5 Y
6–10 Y
11–15 Y
16–17 Y
 
Adrenals
13
13
13
13
13
13
 
Brain
17
11
13
17
21
23
 
Breast
6.1
4.0
5.4
5.5
6.9
8.4
 
Colon
14
13
14
14
13
13
 
Esophagus
14
14
15
15
13
14
 
Eyes
12
11
12
13
12
8.7
 
Eye Lens
7.0
4.1
5.9
7.0
8.0
9.9
 
Gall Bladder
13
12
13
13
12
12
 
Gonads
14
13
14
14
13
13
 
Heart
49
44
45
55
49
42
 
Kidneys
13
13
14
14
13
13
 
Liver
19
17
18
19
18
18
 
Lungs
18
18
19
18
17
17
 
Pancreas
13
13
14
14
13
12
 
Prostate/Uterus
16
14
16
17
16
15
 
Red Marrow
10
11
10
11
10
10
 
Small Intestine
13
13
14
14
12
13
 
Spleen
13
12
13
13
12
12
 
Stomach
13
12
13
13
13
12
 
Thymus
17
15
17
17
16
16
 
Thyroid
16
13
15
15
15
18
 
Bladder
56
51
60
57
52
49
 
<1Y = patients aged less than one year at scan time
1-5Y = patients aged one year to five years old at scan time
6-10Y = patients aged five years to ten years old at scan time
11-15Y = patients aged eleven to fifteen years old at scan time
16-17Y = patients aged sixteen to seventeen years old at scan time

Result

Table 6 presents the total (PET + CT) organ radiation absorbed dose for each age group, Table 3 presents PET organ radiation absorbed dose for each age group, and Table 4 presents CT organ radiation absorbed dose for each age group. A summary of calculated effective doses is presented in Table 7.
Table 7
Effective Dose (mSv)
 
All ages
<  1 Y
1–5 Y
6–10 Y
11–15 Y
16–17 Y
PET
 mean
8.1
8.6
8.7
8.2
7.7
7.3
 SD
1.2
0.8
1.5
1.1
0.5
0.9
 Range
5.7–16.5
7.8–9.4
6.9–16.5
6.1–12.2
6.8–8.4
5.7–9.2
 mean
6.4
4.8
6.2
6.5
6.4
6.9
CT
 SD
1.8
1.1
1.9
2.4
1.0
1.0
 Range
2.9–14.7
4.1–6.1
2.9–14.7
3.6–14.2
4.2–7.8
5.2–9.1
SD = Standard Deviation
<1Y = patients aged less than one year at scan time
1-5Y = patients aged one year to five years old at scan time
6-10Y = patients aged five years to ten years old at scan time
11-15Y = patients aged eleven to fifteen years old at scan time
16-17Y = patients aged sixteen to seventeen years old at scan time
The five organs with highest total dose from PET and CT combined, as well as for PET alone were: Urinary bladder, heart, liver, lungs, brain.
The five organs with highest CT dose were: Thymus, thyroid, kidneys, eye lens, gonads (testes, male; ovaries, female).
For all patients, the mean difference between actual patient body mass and the mass of the phantom chosen to represent the patient, was 17%.
Forty five percent of all patients received more than one scan over the time period of the study; 50% of all patients aged 15 years old and younger received more than one scan, and 25% of patients aged 16 and 17 received more than one scan.
One patient who underwent 10 examinations during the study period received a cumulative eye lens absorbed dose of 81.9 mGy, and the five organs with the highest total dose were the heart, urinary bladder, thymus, liver and brain.

Discussion

An important first step to managing patient dose in PET-CT is finding suitable methods to quantify dose from both the CT and the PET portions of the examination. Methods which incorporate examination-specific and patient-adjusted parameters require considerable effort to collect and appropriately analyze data but provide results that more accurately represent the individual patient and irradiation conditions than generalized methods. A more accurate result is important for patients who are likely to receive multiple scans over the course of their disease management. As a retrospective investigation, this study entailed extraction of data from electronic records but a future evaluation could reduce time spent locating data in records by manually prospectively recording data such as injected activity, patient data and CT technique at the time of the examination. Our reported results represent pediatric patients in our institution and should be compared to other patient populations carefully. While the dosimetry tools employed in this study utilize phantoms of both genders, the reported results are gender-averaged. It should be noted that because we defined pediatric as less than 18 years old, only patients who were less than 18 years old at the time of exam were included in this study. The limited number of patients aged less than 1 year old in this study does not provide definitive findings for patients in this age group. The 429 examinations for which dosimetry was performed represent 133 unique patients, indicating that patients often underwent multiple scans. About half of the patients in this study had more than one PET-CT scan and 7% had 5 or more scans, supporting the importance of ongoing monitoring of individual radiation dose. One notable patient had 10 scans during the study period and received a cumulative eye lens absorbed dose of 81.9 mGy. While CT doses below 2 mSv are achievable for PET-CT, the average CT dose of 6.4 mSv for the patients in our study reflects the objective of pediatric PET-CT exams at our institution to provide localization information along with attenuation correction from the x-rays.
OLINDA 2.0 represents many improvements over the previous version, which serve to increase the accuracy of individual patient dosimetry. The software employs the latest phantoms of both genders, which are neither voxelized nor stylized, but are anatomically realistic and can easily be modified. Dose coefficients based on older stylized computational phantoms have been found to be different from those based on newer hybrid phantoms, especially for smaller body sizes. As shown in Table 8, dose coefficients provided by OLINDA 2.0 are lower than those provided by ICRP 128. The exceptions are the heart, stomach, esophagus, and thymus for which OLINDA 2.0 estimated a higher absorbed dose per unit injected activity than ICRP 128. Dose coefficients for urinary bladder, kidneys, heart, red bone marrow and lungs were estimated by OLINDA 2.0 to be lower than ICRP 128. Relative differences between ICRP 128 coefficients and those reported in our study are consistent with those demonstrated by Khamwan et al., in which lower lung and urinary bladder dose coefficients were attributed to improved approximation of adjacent organ boundaries as modeled by newer phantoms, compared to older stylized phantoms [32]. As a result of the organ dose differences between the two methods, the ED coefficients also differ, with those estimated by OLINDA 2.0 being approximately 34% less than those provided by ICRP 128. In accordance with ICRP 103 methodology, effective doses are calculated in the softwares by averaging gender-specific dose. Table 7 includes adult organ dose and ED coefficients for reference, with differences in the coefficients being consistent with those in pediatric phantoms. OLINDA 2.0 reported dose factors for left colon, right colon and rectum and we report total colon PET dose as the average of the three. The adjustment in OLINDA 2.0 of phantom organ mass made phantoms more representative of individual patient body size than the default phantom, but still not as specific to the patient as would be from segmentation of an actual patient image. Additionally, modification of all organs by the same ratio does not accurately reflect a non-linear change in organ mass with body mass.
Table 8
Comparison of Organ Dose Coefficients, OLINDA v2.0 and ICRP 128
 
1Y
5Y
10Y
15Y
A
OLINDA
ICRP
OLINDA
ICRP
OLINDA
ICRP
OLINDA
ICRP
OLINDA
ICRP
Adrenals
0.067
0.071
0.038
0.039
0.024
0.024
0.016
0.016
0.014
0.012
Brain
0.058
0.063
0.044
0.046
0.040
0.041
0.038
0.039
0.038
0.038
Colon
0.067
0.070
0.039
0.039
0.025
0.025
0.016
0.016
0.014
0.013
Esophagus
0.077
0.066
0.042
0.035
0.026
0.022
0.017
0.015
0.014
0.012
Gallbladder
0.061
0.070
0.035
0.037
0.024
0.024
0.016
0.016
0.014
0.013
Small intestine
0.066
0.073
0.037
0.040
0.023
0.025
0.015
0.016
0.012
0.012
Stomach
0.062
0.067
0.035
0.025
0.022
0.022
0.015
0.014
0.013
0.011
Heart
0.295
0.380
0.224
0.210
0.165
0.130
0.089
0.087
0.040
0.067
Kidneys
0.060
0.078
0.034
0.045
0.021
0.029
0.014
0.021
0.012
0.017
Liver
0.102
0.120
0.061
0.063
0.042
0.042
0.029
0.028
0.024
0.021
Lungs
0.111
0.120
0.059
0.062
0.037
0.041
0.024
0.029
0.020
0.020
Pancreas
0.069
0.076
0.041
0.040
0.025
0.026
0.017
0.016
0.014
0.013
Red bone marrow
0.044
0.059
0.024
0.032
0.016
0.021
0.012
0.014
0.011
0.011
Ovaries
0.078
0.076
0.043
0.043
0.025
0.027
0.078
0.018
0.016
0.014
Spleen
0.059
0.066
0.033
0.035
0.020
0.021
0.013
0.014
0.011
0.011
Testes
0.061
0.066
0.034
0.037
0.023
0.024
0.014
0.014
0.013
0.011
Thymus
0.069
0.066
0.039
0.035
0.025
0.022
0.017
0.015
0.014
0.012
Thyroid
0.061
0.065
0.034
0.034
0.021
0.021
0.013
0.013
0.010
0.010
Urinary bladder
0.448
0.470
0.243
0.340
0.157
0.250
0.105
0.160
0.093
0.130
Uterus
0.097
0.090
0.058
0.054
0.040
0.036
0.025
0.022
0.021
0.018
ED
0.073
0.095
0.041
0.056
0.027
0.037
0.018
0.024
0.016
0.019
1Y = 1-year-old phantom. OLINDA 2.0 gender average
5Y = 5-year-old phantom. OLINDA 2.0 gender average
10Y = 10-year-old phantom. OLINDA 2.0 gender average
15Y = 15-year-old phantom. OLINDA 2.0 gender average
A = Adult phantom. OLINDA 2.0 gender average
VirtualDose CT software also utilizes the current generation of computational phantoms while offering the ability to incorporate exam-specific parameters. Compared to doses estimated using MIRD-style phantoms, the doses estimated by VirtualDose CT can be higher or lower depending on the location of the organ, but more accurately represent the patient, so are understood to be more accurate [33]. The improved approximation of human anatomy of phantoms in both VirtualDose and OLINDA 2.0 also means the organs represented are not exactly consistent across all ages, so doses from different age phantoms must be aggregated with care. For example, breast dose is only reported for 15-year-old and adult female phantoms, and not reported for 1-year, 5-year, 10-year phantoms of either gender. While VirtualDose reports eye lens dose and OLINDA 2.0 does not, eye lens dose results are included in this study for reference. Due to the accumulation of FDG in the brain, some dose to the eye lens is expected from PET.
Because phantom selection was based on a comparison of phantom mass with patient mass, some pediatric patients were best modeled by phantoms, which did not necessarily correspond to patient age in both PET and CT dosimetry software. For example, several patients were best approximated by adult phantoms. While PET organ dose could be more accurately represented by modification of phantom organ mass by the ratio of phantom mass to patient mass in PET software, it should be noted that CT organ mass was fixed to the chosen phantom. Although all of our pediatric PET-CT exams are conducted without tube current modulation, (TCM) the influence of this technique on patient dose should be considered where it might be implemented, such as a PET-CT examination that includes a diagnostic-quality CT. Failing to account for TCM can result in an over- or under-estimation of dose depending on the body region imaged. When the tube current is modulated, an organ dose estimation method based on a single CT dose metric such as dose length product (DLP) does not accurately represent patient dose, indicating the need for comprehensive dose estimation using appropriate methodology. Anatomy selection and accurate representation of patient size and composition are important considerations for pediatric CT patients, because organ dose changes are relatively greater in smaller patients depending on anatomy selection. A recent study demonstrated organ dose change resulting from inclusion or exclusion of an organ in scan range is more drastic in small patients [34]. In light of the wide range of considerations for accurate dosimetry, including patient size, age and imaging technique, a variety of dosimetry methodologies including those examined in the current study are beneficial to have on hand.

Conclusions

Radiopharmaceutical and x-ray internal radiation dose adjusted to individual pediatric patients can be estimated with available methods, which utilize appropriate anatomically-realistic models with patient-adjusted inputs. The ability to routinely evaluate dose representative of individual patients is especially important for radiosensitive populations such as children and radiosensitive organs subject to deterministic effects such as the lens of the eye. Dose estimates, whether organ or effective dose, are central to understanding how radiation dose relates to patient detriment and are important groundwork for a rigorous benefit analysis applicable to any medical imaging modality. Organ doses estimated using methodology employing anatomically realistic phantoms can be considerably different from those organ doses based on older generalized phantoms, but are understood to be more accurate because of the anatomical realism. Along with long-term monitoring of disease management outcomes, routine evaluation of individual patient dose is a key component in improving the understanding of the relationship between radiation exposure and biological effect. Whether for justification of examinations, long term tracking of patient doses or optimization of protocols, dose estimates are achievable, which are expediently formulated using appropriate methodology that closely represents the patient. As truly patient-specific dosimetry is becoming more and more achievable, patient-adjusted methods such as those in the current study facilitate a meaningful understanding of patient radiation dose by accounting for dosimetry factors representative of the patient and exposure scenario.

Acknowledgements

Not applicable.
A waiver of informed consent was obtained for usage of the data in this study.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
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Literatur
1.
Zurück zum Zitat NCRP. NCRP report 160: ionizing radiation exposure of the population of the United States. Bethesda: National Council on Radiation Protection and Measurements; 2006. NCRP. NCRP report 160: ionizing radiation exposure of the population of the United States. Bethesda: National Council on Radiation Protection and Measurements; 2006.
2.
Zurück zum Zitat Quinn B, Dauer Z, Pandit-Raskar N, Schoder H, Dauer LT. Radiation Dosimetry of 18F-FDG PET/CT: incorporating exam-specific parameters in dose estimates. BMC Med Imaging. 2016;16(1):41.CrossRef Quinn B, Dauer Z, Pandit-Raskar N, Schoder H, Dauer LT. Radiation Dosimetry of 18F-FDG PET/CT: incorporating exam-specific parameters in dose estimates. BMC Med Imaging. 2016;16(1):41.CrossRef
3.
Zurück zum Zitat Chawla SC, Federman N, Zhang D, Nagata K, et al. Estimated cumulative Radiation dose from PET/CT in children with Malifnancies: a 5-year retrospective review. Pediatr Radiol. 2010;40(5):681–6.CrossRef Chawla SC, Federman N, Zhang D, Nagata K, et al. Estimated cumulative Radiation dose from PET/CT in children with Malifnancies: a 5-year retrospective review. Pediatr Radiol. 2010;40(5):681–6.CrossRef
4.
Zurück zum Zitat Alessio AM, Kinahan PE, Manchanda V, Ghioni V, Aldape L, Parisi M. Weight-based, low-dose pediatric whole-body PET/CT protocols. J Nucl Med. 2009;50(10):1570–8.CrossRef Alessio AM, Kinahan PE, Manchanda V, Ghioni V, Aldape L, Parisi M. Weight-based, low-dose pediatric whole-body PET/CT protocols. J Nucl Med. 2009;50(10):1570–8.CrossRef
5.
Zurück zum Zitat Kim YY, Shin HJ, Kim MJ, Lee MJ. Comparison of Effective Radiation Doses from X-ray, CT, and PET/CT in Pediatric Patients with Neuroblastoma Using a Dose Monitoring Program. Diagn Interv Radiol. 2009;22(4):390–4 2016.CrossRef Kim YY, Shin HJ, Kim MJ, Lee MJ. Comparison of Effective Radiation Doses from X-ray, CT, and PET/CT in Pediatric Patients with Neuroblastoma Using a Dose Monitoring Program. Diagn Interv Radiol. 2009;22(4):390–4 2016.CrossRef
6.
Zurück zum Zitat Huang B, Law MWM, Khong PL. Whole-body PET/CT scanning: estimation of Radiation dose and Cancer risk. Radiology. 2009;251(1):166–74.CrossRef Huang B, Law MWM, Khong PL. Whole-body PET/CT scanning: estimation of Radiation dose and Cancer risk. Radiology. 2009;251(1):166–74.CrossRef
7.
Zurück zum Zitat UNSCEAR. Report of the United Nations Scientific Committee on the Effects of Atomic Radiation. Seventy-second Session. General Assembly Records Sixty Seventh Session, Supplemental No. 46. United Nations: Annex A (A/72/46); 2018. UNSCEAR. Report of the United Nations Scientific Committee on the Effects of Atomic Radiation. Seventy-second Session. General Assembly Records Sixty Seventh Session, Supplemental No. 46. United Nations: Annex A (A/72/46); 2018.
8.
Zurück zum Zitat ICRP. The 2007 Recommendations of the International Commission on Radiological Protection. ICRP Publication 103. Ann ICRP. 2007;37(2–4):129. ICRP. The 2007 Recommendations of the International Commission on Radiological Protection. ICRP Publication 103. Ann ICRP. 2007;37(2–4):129.
9.
Zurück zum Zitat Fisher DR, Fahey FH. Appropriate Use of Effective Dose in Radiation Protection and Risk Assessment. Health Phys. 2017;113(2):102–9.CrossRef Fisher DR, Fahey FH. Appropriate Use of Effective Dose in Radiation Protection and Risk Assessment. Health Phys. 2017;113(2):102–9.CrossRef
10.
Zurück zum Zitat NCRP. Commentary No. 27 – Implications of Recent Epidemiologic Studies for the Linear-Nonthreshold Model and Radiation Protection. Bethesda: National Council on Radiation Protection and Measurements; 2018. NCRP. Commentary No. 27 – Implications of Recent Epidemiologic Studies for the Linear-Nonthreshold Model and Radiation Protection. Bethesda: National Council on Radiation Protection and Measurements; 2018.
11.
Zurück zum Zitat Shore RE, Beck HL, Boice JD Jr, et al. Recent Epidemiologic Studies and the Linear No-Threshold Model For Radiation Protection Consideration Regarding NCRP Commentary 27. Health Phys. 2019;116(2):235–46.CrossRef Shore RE, Beck HL, Boice JD Jr, et al. Recent Epidemiologic Studies and the Linear No-Threshold Model For Radiation Protection Consideration Regarding NCRP Commentary 27. Health Phys. 2019;116(2):235–46.CrossRef
12.
Zurück zum Zitat Shore RE, Beck HL, Boice JD, et al. Implications of Recent Epidemiologic Studies for the Linear Nonthreshold Model and Radiation Protection. J Radiol Prot. 2018;38(3):1217–33.CrossRef Shore RE, Beck HL, Boice JD, et al. Implications of Recent Epidemiologic Studies for the Linear Nonthreshold Model and Radiation Protection. J Radiol Prot. 2018;38(3):1217–33.CrossRef
13.
Zurück zum Zitat National Research Council. Health Risks from Exposure to Low Levels of Ionizing Radiation: BEIR VII Phase 2. Washington: The National Academies Press; 2006. National Research Council. Health Risks from Exposure to Low Levels of Ionizing Radiation: BEIR VII Phase 2. Washington: The National Academies Press; 2006.
14.
Zurück zum Zitat Siegel J, Pennington C, Sacks B. Subjecting Radiologic Imaging to the Linear No-Threshold Hypothesis: A non-sequitur of Non-Trivial Proportion. J Nucl Med. 2017;58:1–6.CrossRef Siegel J, Pennington C, Sacks B. Subjecting Radiologic Imaging to the Linear No-Threshold Hypothesis: A non-sequitur of Non-Trivial Proportion. J Nucl Med. 2017;58:1–6.CrossRef
15.
Zurück zum Zitat Weber W, Zanzonico P. The Controversial Linear-no Threshold Model. J Nucl Med. 2017;58(1):7–8.CrossRef Weber W, Zanzonico P. The Controversial Linear-no Threshold Model. J Nucl Med. 2017;58(1):7–8.CrossRef
16.
Zurück zum Zitat Goske MJ, Applegate KE, Boylan J, Butler PF, Callahan MJ, Coley BD, Farley S, Frush DP, Hernanz-Schulman M, Jaramillo D, et al. The image Gently campaign: working together to change practice. AJR Am J Roentgenol. 2008;190(2):273–4.CrossRef Goske MJ, Applegate KE, Boylan J, Butler PF, Callahan MJ, Coley BD, Farley S, Frush DP, Hernanz-Schulman M, Jaramillo D, et al. The image Gently campaign: working together to change practice. AJR Am J Roentgenol. 2008;190(2):273–4.CrossRef
20.
Zurück zum Zitat Treves ST, Davis RT, Fahey FH. Administered radiopharmaceutical doses in children: a survey of 13 pediatric hospitals in North America. J Nucl Med. 2008;49:1024–7.CrossRef Treves ST, Davis RT, Fahey FH. Administered radiopharmaceutical doses in children: a survey of 13 pediatric hospitals in North America. J Nucl Med. 2008;49:1024–7.CrossRef
21.
Zurück zum Zitat Parisi MT, Bermo MS, Alessio AM, Sharp SE, Gelfand MJ, Shulkin BL. Optimization of pediatric PET/CT. Semin Nucl Med. 2017 May;47(2):258–74.CrossRef Parisi MT, Bermo MS, Alessio AM, Sharp SE, Gelfand MJ, Shulkin BL. Optimization of pediatric PET/CT. Semin Nucl Med. 2017 May;47(2):258–74.CrossRef
22.
Zurück zum Zitat Kaste SC. Issues specific to implementing PET-CT for pediatric oncology: what we have learned along the way. Pediatr Radiol. 2004;34:205–13.CrossRef Kaste SC. Issues specific to implementing PET-CT for pediatric oncology: what we have learned along the way. Pediatr Radiol. 2004;34:205–13.CrossRef
23.
Zurück zum Zitat McQuattie S. Pediatric PET/CT imaging: tips and techniques. J Nucl Med Technol. 2006;36:171–8.CrossRef McQuattie S. Pediatric PET/CT imaging: tips and techniques. J Nucl Med Technol. 2006;36:171–8.CrossRef
24.
Zurück zum Zitat Fahey FH, Goodkind A, MacDougal RD, Oberg L, Ziniel SI, Cappock R, Callahan MJ, Kwatra N, Treves ST, Voss SD. Operational and Dosimetric Aspects of Pediatric PET/CT. J Nucl Med. 2017;58(9):1360–6.CrossRef Fahey FH, Goodkind A, MacDougal RD, Oberg L, Ziniel SI, Cappock R, Callahan MJ, Kwatra N, Treves ST, Voss SD. Operational and Dosimetric Aspects of Pediatric PET/CT. J Nucl Med. 2017;58(9):1360–6.CrossRef
25.
Zurück zum Zitat Brix G, Nosske D, Lechel U. Radiation exposure of patients undergoing whole-body FDG-PET/CT examinations: an update pursuant to the new ICRP recommendations. Nuklearmedizin. 2014;53(5):217–20.CrossRef Brix G, Nosske D, Lechel U. Radiation exposure of patients undergoing whole-body FDG-PET/CT examinations: an update pursuant to the new ICRP recommendations. Nuklearmedizin. 2014;53(5):217–20.CrossRef
26.
Zurück zum Zitat Shrimpton PC, Wall BF. Reference doses for Paediatric computed tomography. Radiat Prot Dosim. 2000;90(1–2):249–52.CrossRef Shrimpton PC, Wall BF. Reference doses for Paediatric computed tomography. Radiat Prot Dosim. 2000;90(1–2):249–52.CrossRef
27.
Zurück zum Zitat ICRP. Radiological Protection in Medicine. International Commission on Radiological Protection. ICRP Publication 105. Ann ICRP. 2007;37(6):25–33. ICRP. Radiological Protection in Medicine. International Commission on Radiological Protection. ICRP Publication 105. Ann ICRP. 2007;37(6):25–33.
28.
Zurück zum Zitat Stabin M, Sparks R, Crowe E. OLINDA/EXM: the second-generation personal computer software for internal dose assessment in nuclear medicine. J Nucl Med. 2005;46(6):1023–7.PubMed Stabin M, Sparks R, Crowe E. OLINDA/EXM: the second-generation personal computer software for internal dose assessment in nuclear medicine. J Nucl Med. 2005;46(6):1023–7.PubMed
29.
Zurück zum Zitat Ding A, Gao Y, Liu H, Caracappa PF, Long DJ, Bolch WE, Liu B, Xu XG. VirtualDose: a software for reporting organ doses from CT for adult and pediatric patients. Phys Med Biol. 2015;60(14):5601–25.CrossRef Ding A, Gao Y, Liu H, Caracappa PF, Long DJ, Bolch WE, Liu B, Xu XG. VirtualDose: a software for reporting organ doses from CT for adult and pediatric patients. Phys Med Biol. 2015;60(14):5601–25.CrossRef
30.
Zurück zum Zitat Shore RM, Hendee WR. Radiopharmaceutical dosage selection for pediatric nuclear medicine. J Nucl Med. 1986;27(2):287–98.PubMed Shore RM, Hendee WR. Radiopharmaceutical dosage selection for pediatric nuclear medicine. J Nucl Med. 1986;27(2):287–98.PubMed
31.
Zurück zum Zitat ICRP. Radiation Dose to Patients from Radiopharmaceuticals: A Compendium of Current Information Related to Frequently Used Substances. ICRP Publication 128. Ann ICRP. 2015;44(2S):108. ICRP. Radiation Dose to Patients from Radiopharmaceuticals: A Compendium of Current Information Related to Frequently Used Substances. ICRP Publication 128. Ann ICRP. 2015;44(2S):108.
32.
Zurück zum Zitat Khamwan K, OReilly S, Plyku D, Goodkind A, Josefsson A, Cao X, Fahey F, Treves T, Bolch W, Sgouros G. Re-evaluation of pediatric 18F-FDG Dosimetry: Cristy-Eckerman versus UF/NCI hybrid computational phantoms. Phys Med Biol. 2018;63(16):165012.CrossRef Khamwan K, OReilly S, Plyku D, Goodkind A, Josefsson A, Cao X, Fahey F, Treves T, Bolch W, Sgouros G. Re-evaluation of pediatric 18F-FDG Dosimetry: Cristy-Eckerman versus UF/NCI hybrid computational phantoms. Phys Med Biol. 2018;63(16):165012.CrossRef
33.
Zurück zum Zitat Ding A, Gu J, Mille M, Xu XG, Liu B. VirtualDose: A CT Dose Reporting Software Based on Anatomically Realistic Phantoms. J Nucl Med. 2010;51:S2 520. Ding A, Gu J, Mille M, Xu XG, Liu B. VirtualDose: A CT Dose Reporting Software Based on Anatomically Realistic Phantoms. J Nucl Med. 2010;51:S2 520.
34.
Zurück zum Zitat Gao Y, Quinn B, Mahmood U, Long D, Erdi Y, St Germain J, Pandit-Taskar N, Xu XG, Bolch W, Dauer L. A comparison of pediatric and adult CT organ dose estimation methods. BMC Med Im. 2017;17:28.CrossRef Gao Y, Quinn B, Mahmood U, Long D, Erdi Y, St Germain J, Pandit-Taskar N, Xu XG, Bolch W, Dauer L. A comparison of pediatric and adult CT organ dose estimation methods. BMC Med Im. 2017;17:28.CrossRef
Metadaten
Titel
Patient-adapted organ absorbed dose and effective dose estimates in pediatric 18F-FDG positron emission tomography/computed tomography studies
verfasst von
Brian M. Quinn
Yiming Gao
Usman Mahmood
Neeta Pandit-Taskar
Gerald Behr
Pat Zanzonico
Lawrence T. Dauer
Publikationsdatum
01.12.2020
Verlag
BioMed Central
Erschienen in
BMC Medical Imaging / Ausgabe 1/2020
Elektronische ISSN: 1471-2342
DOI
https://doi.org/10.1186/s12880-020-0415-4

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