Next Article in Journal
ZooCNN: A Zero-Order Optimized Convolutional Neural Network for Pneumonia Classification Using Chest Radiographs
Next Article in Special Issue
Pano-GAN: A Deep Generative Model for Panoramic Dental Radiographs
Previous Article in Journal
Enhanced Image Retrieval Using Multiscale Deep Feature Fusion in Supervised Hashing
Previous Article in Special Issue
Current Role of CT Pulmonary Angiography in Pulmonary Embolism: A State-of-the-Art Review
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Typical and Local Diagnostic Reference Levels for Chest and Abdomen Radiography Examinations in Dubai Health Sector

by
Entesar Z. Dalah
1,2,*,
Maitha M. Al Zarooni
3,
Faryal Y. Binismail
4,
Hashim A. Beevi
5,
Mohammed Siraj
6 and
Subrahmanian Pottybindu
7
1
Central Diagnostic Imaging Department, Dubai Health, Dubai P.O. Box 2727, United Arab Emirates
2
College of Medicine, Mohammed Bin Rashid University, Dubai Health, Dubai P.O. Box 2727, United Arab Emirates
3
Diagnostic Imaging Department, Rashid Hospital, Dubai Health, Dubai P.O. Box 2727, United Arab Emirates
4
Diagnostic Imaging Department, Dubai Hospital, Dubai Health, Dubai P.O. Box 2727, United Arab Emirates
5
Diagnostic Imaging Department, Hatta Hospital, Dubai Health, Dubai P.O. Box 2727, United Arab Emirates
6
Diagnostic Imaging Department, PHC Hospital, Dubai Health, Dubai P.O. Box 2727, United Arab Emirates
7
Diagnostic Imaging Department, Latifa Hospital, Dubai Health, Dubai P.O. Box 2727, United Arab Emirates
*
Author to whom correspondence should be addressed.
J. Imaging 2025, 11(1), 21; https://doi.org/10.3390/jimaging11010021
Submission received: 25 November 2024 / Revised: 24 December 2024 / Accepted: 27 December 2024 / Published: 13 January 2025
(This article belongs to the Special Issue Tools and Techniques for Improving Radiological Imaging Applications)

Abstract

:
Chest and abdomen radiographs are the most common radiograph examinations conducted in the Dubai Health sector, with both involving exposure to several radiosensitive organs. Diagnostic reference levels (DRLs) are accepted as an effective safety, optimization, and auditing tool in clinical practice. The present work aims to establish a comprehensive projection and weight-based structured DRL system that allows one to confidently highlight healthcare centers in need of urgent action. The data of a total of 5474 adult males and non-pregnant females who underwent chest and abdomen radiography examinations in five different healthcare centers were collected and retrospectively analyzed. The typical DRL (TDRL) for each healthcare center was established and defined per projection (chest: posterior–anterior (PA), anterior–posterior (AP) and lateral (LAT); abdomen: erect and supine) for a weight band (60–80 kg) and for the whole data (no weight band). Local DRL (LDRL) values were established per project for the selected radiograph for the whole data (no weight band) and the 60–80 kg population. Chest radiography data from 1755 (60–80 kg) images were used to build this comprehensive DRL system (PA: 1471, AP: 252, and LAT: 32). Similarly, 611 (60–80 kg) abdomen radiographs were used to establish a DRL system (erect: 286 and supine: 325). The LDRL values defined per chest and abdomen projection for the weight band group (60–80 kg) were as follows: chest—0.51 PA, 2.46 AP, and 2.13 LAT dGy·cm2; abdomen—8.08 for erect and 5.95 for supine dGy·cm2. The LDRL defined per abdomen projection for the 60–80 kg weight band highlighted at least one healthcare center in need of optimization. Such a system is efficient, easy to use, and very effective clinically.

1. Introduction

Patient radiation safety in the field of diagnostic imaging is a priority that cannot be overlooked or overemphasized. The as low as reasonably achievable (ALARA) principle aims to uphold diagnostically adequate imaging quality while keeping the dose per radiological procedure as low as reasonably achievable. Given the major drawback of radiation-induced risk that is associated with all radiological examinations using X-rays, radiation exposure received during medical examinations should be justified and optimized to ensure that the benefits outweigh the risks [1] and adhere to the ALARA principle.
The concept of the diagnostic reference level (DRL) was introduced and accepted as a radiation safety optimization tool in the field of diagnostic and interventional medical imaging [2,3,4,5,6]. Clinically, DRLs are an effective approach for optimizing patient radiological exposure [7,8,9]. DRLs can be used for internal auditing and to detect abnormally high and low doses across centers and regions [3], thereby indirectly protecting individuals from radiation-induced risks [10,11]. As per an International Commission on Radiation Protection (ICRP) report 135 [3], two-dose quantities are recommended to establish DRLs for projection radiography: the entrance surface dose (ESD) and dose area product (DAP). At present, almost all projection radiography devices are equipped with a DAP meter.
This patient dose report is the second review of the Dubai Health sector, while our first health sector review was conducted in 2020. Recently, we implemented the addition of a 0.1 mm copper (Cu) filter as a standard practice in our common radiography examinations for adult males and non-pregnant females. We achieved this following the pilot study carried out by members of our health sector [12], demonstrating a significant DAP reduction, with no compromise of image quality when additional beam filtering of 0.1 mm copper (Cu) was used.
Here, we report a comprehensive DRL system to optimize radiation exposure of patients undergoing chest and abdomen radiographic examinations within the Dubai health sector. Given that such services are provided by several healthcare centers operating within our health sector, we provide both the typical DRL (TDRL) values and the local DRL (LDRL) values. With optimization as the main objective, TDRLs and LDRLs are established for common projections in the chest and abdomen radiographic examinations performed within the practice. A demonstration of the impact of adding the 0.1 mm Cu filter on the TDRL and LDRL values is considered. Furthermore, dose variation across vendors is demonstrated.

2. Materials and Methods

The patient dose database used in this health sector report was approved by our institutional scientific research ethics committee. Patient dose data were collected retrospectively from 1 January to 1 August 2024. The data were collected from a total of five healthcare centers that operate within the Dubai health sector (denoted A, B, C, D, and E). Radiographic devices per room (denoted R) from different vendors and with different detector characteristics were enrolled. Only image receptors using digital radiography detectors (denoted DR) and computed radiography detectors (denoted CR) are used throughout our health sector.

2.1. Obtaining the Data

An electronic platform, DOSE TQM version 19.11 (Qaelum NV, Belgium) [13], was used to automatically collect patient dose data. The electronic dose platform is linked with our health sector picture archiving and communication system (PACS). The dose quantity used in this report is DAP measured in dGy·cm2. Patient age, weight, projection information, and acquisition parameters, including peak kilovoltage (kVp), tube current time (mAs), source image distance (SID, measured in cm), scan mode (automatic exposure control, AEC or manual), grid ratio, total beam filtration and chamber configuration were all retrieved using the same electronic platform. Using the device tap on the DOST TQM platform allows data retrieval from each device (e.g., radiograph, mammogram, dental, computed tomography) at every healthcare center. Once the radiograph device of interest is selected, data from that device can be exported in Excel format. All the input variables mentioned above can be retrieved for every single patient. The only identification enabled is the study accession number to maintain patient privacy. For every radiography unit enrolled in this study, all patient demographic data, dose information, radiological examination name and protocol, and scan acquisition parameters can be exported into a single Excel sheet.
Here, the DRLs reported are for adult males and non-pregnant females. Furthermore, the DRLs reported are only for fixed non-portable radiograph devices.

2.2. DRL Calculation

The TDRL value per healthcare center, despite the number of radiography units (rooms), is represented by the median of the DAP distribution per examination per projection. The LDRL value for the entire Dubai health sector is set at the 3rd quartile (75th percentile) of the TDRL values for all the participating healthcare centers.
For optimization and effective auditing purposes, the TDRL and LDRL for chest radiography were classified based on the posterior–anterior (PA) projection, anterior–posterior (AP) projection, and lateral (LAT) projection. For abdomen radiography, the TDRL and LDRL were classified based on erect and supine projections. Further, a vendor-based comparison is provided involving all of GE Healthcare’s (denoted as GE), Siemens’ (denoted as SIE), Philips’ (denoted as PHI), and Fuji’s (denoted as FUJI) radiography. The TDRL and LDRL values are reported based on classified weight (60–80 kg) and non-classified (whole sample) populations.
A minimum of 10 cases per image projection for each radiography examination were considered and used to calculate the TDRL values. No TDRL value is reported for projections with fewer than 10 images. The rationale behind the enrollment of 10 images per projection is that the statistical uncertainty among a weight- and projection-restricted cohort of patients is minimal. The TDRL values obtained for each image projection were used to calculate the LDRL values for each image projection. Ideally, a minimum of two healthcare centers are needed to establish the LDRL values. However, LDRLs were considered based on one center, provided that the number of images per projection was ≥20. In this situation, the median of the entire DAP distribution of this single center is calculated to estimate the LDRL. Figure 1 summarizes the workflow used to establish this patient dose report.

2.3. Statistical Analysis

Statistical analysis was conducted using GraphPad Prism 8, V8.03, GraphPad Software, La Jolla, CA, USA. Quantitative variables are expressed as the median, minimum (Min), maximum (Max), and 25th and 75th percentiles.

3. Results

3.1. Database

All five healthcare centers (A to E) operating within the Dubai health sector participated in this patient dose review. The total number of radiography rooms enrolled was 21 (A-R1 to E-R8). Center A has seven rooms, center B has four rooms, center C has one room, center D has one room, and center E has eight rooms.
Out of the 21 radiography units, 20 units were equipped with cesium iodide scintillators coupled to a thin-film transistor (TFT) matrix with amorphous silicon (also known as DR detectors), and 1 unit had a single-panel (non-tiled) amorphous silicon detector with a cesium iodide scintillator (also known as a CR detector).
A total of 5474 and 2366 DAP values for chest and abdomen radiographs were reviewed. The former represents the entire chest and abdomen data (no weight band) and the latter represents the weight band data (60–80 kg) population. The total number of chest radiographs was 4248 (no weight band) and 1755 (60–80 kg). The population per chest radiograph projections was 3681 PA (no weight band) and 1471 (60–80 kg), 506 AP (no weight band) and 252 (60–80 kg), and 61 LAT (no weight band) and 32 (60–80 kg). The total number of abdomen (erect and supine) radiographs was 1226 (no weight band) and 611 (60–80 kg). The populations per abdomen erect projection numbered 591 (no weight band) and 286 (60–80 kg), and per abdomen supine projection, they numbered 635 (no weight band) and 325 (60–80 kg).
The gender-based age distribution per radiograph projection was chest PA (15–102)-year-old male and (15–95)-year-old female, chest AP (15–98)-year-old male and (21–95)-year-old female, chest LAT (20–83)-year-old male and (29–82)-year-old female, abdomen erect (15–95)-year-old male and (15–94)-year-old female, and abdomen supine (15–95)-year-old male and (15–94)-year-old female.

3.2. Scan Acquisition Parameters

Table 1 shows the number and distribution of radiography rooms (denoted in numerical series, R1 to R21) across our healthcare centers (A to E), and the scan acquisition parameters used to perform chest X-rays for each PA, AP, and LAT projection.
Table 2 shows the number and distribution of radiography rooms across our healthcare centers (A to E), and the scan acquisition parameters used to perform abdomen X-rays for each erect and supine projection.

3.3. TDRL and LDRL Values

The health sector patient TDRL values were based on two decimal medians for the DAP distribution observed for each healthcare center despite the number of radiograph rooms and vendors. The LDRL values were based on two-decimal third quartile (75th percentile) values of all TDRL values calculated for each healthcare center (A to E). Table 3 shows the TDRL distribution values for each healthcare center, the number of rooms, and the number of projections with and without weight bands. The values of the DAP spectrum (distribution) in Table 3 are presented in the form of the 25th percentile, median (TDRLs), and 75th percentile. Figure 2 illustrates the distribution of chest radiograph TDRL (60–80 kg) weight band values against the obtained LDRL value for the specific weight band population per chest radiograph based on projections. Figure 3 shows the distribution of abdomen radiograph TDRL (60–80 kg) weight band values against the obtained LDRL value for the specific weight band population per abdomen radiograph based on projections.
Table 4 presents the LDRL distribution values for the number of centers enrolled, rooms, and projections with and without weight bands for the selected radiograph examinations. The LDRL spectrum in Table 4 is presented in the form of the 25th percentile, median, and 75th percentile (LDRL). Table 5 provides a comparison of the LDRLs established in this patient dose review against some national and international existing DRLs for the same projection radiograph.
The median DAP value for each device was calculated to provide the DAP distribution per room. Figure 4 presents the median DAP per room for PA, AP, and LAT chest radiographs for the weight band population (60–80 kg).

3.4. Impact of Additional Beam Filter

A 21% DAP TDRL reduction was observed for the chest PA projection as a result of applying the additional 0.1 mm Cu filter. A reduction of more than 60% in DAP TDRL was achieved in the AP projection, and 6% in the LAT projection, as shown in Figure 5 (top panel). A 40% overall DAP LDRL reduction was achieved for the most common chest PA projection. Figure 5 (bottom panel) illustrates the DAP TDRL reduction that was observed for abdomen radiograph examinations, with 64% and 74% reductions in erect and supine projections, respectively.

3.5. Vendor DAP Distribution

Figure 6 shows the DAP distribution observed in PA chest radiographs for the weight (60–80 kg) population. Table 6 provides a descriptive summary based on the specific radiograph, number of rooms, and number of projections for the weight band (60–80 kg) population.

4. Discussion

Establishing DRLs is a cornerstone in ensuring the highest standard of care. DRLs serve as a practical tool for achieving three fundamental objectives: patient safety, dose optimization, and internal auditing. This involves a balance between image quality and radiation dose, ensuring that the imaging procedure delivers the maximum diagnostic benefit with the least possible risk. This health sector patient DRL report was made by collecting patients’ measured radiation exposure while undergoing radiographic examination in healthcare centers that operate within the Dubai health sector. Chest and abdomen radiographs are the most common radiograph examinations in our healthcare sector, both involving the exposure of several radiosensitive organs. Several advancements were achieved in the present health sector patient dose report over our first review conducted in 2020. First, we managed to establish the TDRLs and LDRLs based on weight, although the TDRLs and LDRLs reported here are made using a sufficient number of projections, i.e., weight restriction can be waived as per the ICRP report 135 [3]. Reporting typical and local DRLs based on the recommended weight band (60–80 kg) from the ICRP report 135 [3] not only allows for better comparisons against national and international existing DRLs but also allows us to correctly compare against the different radiograph projections for the selected studies. Further, we were able to report the TDRLs and LDRLs per projection, particularly for abdomen radiographs, where different DRL values were proposed for erect and supine abdomen positions separately, as shown in Table 3 and Table 4. Finally, we marked a substantial overall dose reduction in the TDRLs and LDRLs for both chest and abdomen radiographs due to implementing an additional 0.1 mm Cu filter, described in Section 3.4. This intervention (adding 0.1 mm Cu) was made to address a finding in our 2020 review.
DRLs for a chest radiograph differ according to the projection. Herein, the chest AP projection demonstrated the highest DRL value compared to PA and LAT for the same weight band group (60–80 kg). Similarly, the DRLs for an erect abdomen radiograph were higher than a supine abdomen radiograph for the same weight band group (60–80 kg). Our observation is in line with the existing literature summarized in Table 5 for both chest and abdomen radiographs.
Clinical settings (Table 1 and Table 2) for the selected radiographs and the different systems enrolled (Table 6) resulted in notably different DAP values. The SIE radiograph system showed the lowest DAP value, followed by PHI, GE, and Fuji (Figure 6), when performing a PA chest radiography for standard-size patients (60–80 kg). Similarly, Precht et al. [22] observed significant variation in the reported DAP values across different radiograph systems, even across those with the same combinations of kV and mAs. This variation was thought to be partly due to the difference in systems’ beam filtration and because some systems’ kV and mAs combinations were not available. However, Precht et al. [22] were not able to explain the significantly different DAP values reported from Canon and Siemens systems used in their study, with both systems having the same beam spectral shape (i.e., the same filter system). They concluded that the evident variations witnessed in their reported DAP values were actually attributable to the differences in the X-ray tube generator system characteristics and specifications. Sundell et al. [23], who studied mammogram doses in different mammography systems, reached the same conclusions. Tube generator system differences may result in unequal image quality adequacy [22,23].
Regarding the impact of detector systems on DAP, Joregensen et al. [24] conducted a study to compare the radiation dose and image quality using two different radiograph detector systems, DR and CR. They concluded that the DR system offers a considerable dose reduction compared to the CR system, with no issues with image quality. This has been attributed to the advancements made in the DR detector systems, which are more efficient and have high X-ray beam quality, given the additional beam tube filtration used. Tonkopi et al. [25] reported LDRL values of 0.09 mGy and 1.1 mGy for DR and CR, respectively, for the PA chest radiograph. This considerable dose reduction promotes the need to establish DRLs based on the detector system type.
Evidently, adequate beam tube filtration is instrumental in shaping and strengthening the X-ray beam’s spectral quality [26,27], resulting in a lower radiation dose for the patient. Using different thicknesses of Cu sheets, Siraj and colleagues [12] comprehensively studied the impact of additional beam filtration on different dose metrics including exposure index (EI), ESD, DAP, and image quality. Of the three different Cu filter thicknesses used (0.1 mm, 0.2 mm, and 0.3 mm), applying an additional filter of 0.1 mm Cu to the primary beam results in significant DAP reduction without compromising the image quality for patients subjected to chest radiography.
In the case where TDRLs exceed the LDRL value or any reported DRL for a selected radiograph study, one needs to list all the possible factors that could contribute to dose variations. Such factors can be used to justify the DRL variations. In association with the discussion above, radiograph systems (SIE, GE, PHI, Fuji, Canon, etc.) can clearly be a confiding factor. In the present work (Figure 6), the SIE radiograph system yielded the lowest DAP value compared to the remaining vendors when performing a PA chest radiograph for standard-size patients (60–80 kg). Hence, when the TDRL (representing a unit or center) exceeds the LDRL (representing a healthcare sector), a radiography system can be used to justify the excessive dose observed. Likewise, detector type (DR or CR) could also explain the TDRL variation alongside different TDRL and LDRL values. In our case (Figure 4, chest PA projection), the DAP values reported in A-R1 and A-R2 (both GE systems with a DR detector) are lower than the DAP value reported in A-R3 (GE system with a CR detector). Although all three units (A-R1, A-R2, and A-R3) are GE systems and come with the same default (2.7 mm Al) and additional beam filtration system (0.1 mm Cu), in this case, the type of detector justifies the excessive variation observed in DAP.
Importantly, the selected scan acquisition parameters play a role in the resulting DAP value, for example, the variation seen in the two SIE systems (A-R6 and A-R7) used to perform PA chest radiography (Figure 4, chest PA projection), with A-R7 yielding a lower DRL value. In this case, both systems come with a DR-type detector and have the same total beam filtration system (3.62 mm Al + 0.1 mm Cu). However, the PA radiographs were acquired with different scan acquisition parameters. While the kVp range for A-R6 was lower than A-R7, (70–125) vs. (125–137), respectively, the mAs range for A-R7 was higher than A-R6, (2.0–90.0) vs. (3.0–46.0), respectively. Further, A-R6 scans started at a closer SID than those of A-R7. The higher-end mAs and closer SID distance both contributed to the higher DRL value seen in A-R7.
As shown in Figure 4, chest AP projection is another valuable example of using such a comprehensive DRL system to outline potential sources of the excessive DRL associated with B-R1 vs. B-R2 and the calculated LDRL. Both B-R1 (exceeding the LDRL value for chest AP projection for standard-size patients, 60-80 kg) and B-R2 (lowest TDRL value reported for the same projection and weight group) are SIE systems that are equipped with a DR-type detector. The total filtration system associated with the unit exceeding the LDRL is 1 mm Al + 0.1 mm Cu, whereas the total filtration system associated with the unit yielding the lowest TDRL (B-R2) is 2.7 mm Al + 0.1 mm Cu. In addition, the mAs range for the unit exceeding the LDRL value is (0.72–4.56) vs. (0.21–2.24) for the unit yielding the lowest TDRL value (B-R2). Evidently, B-R1 (unit exceeding the LDRL value) uses lower beam quality since the default filter is less than 2.5 mm Al. This would result in both a high patient dose (i.e., DAP) and a noisy image. To compensate for the noise, the mAs needs to be at a higher range, which is exactly what is happening in B-R1. In relation to this, the TDRL for B-R1 is high to the point of exceeding the LDRL. For optimization, one would need to explore the possibility of increasing the default filter to a minimum of 2.5 mm Al. To the authors’ knowledge, the present patient-based dose review is the first comprehensive radiography DRL report in the United Arab Emirates (UAE). Few studies have reported abdomen DRLs based on projections, with the majority of these being reported for the entire abdomen [15,16,17,28]. Herein, not only do we report erect and supine abdomen DRLs separately, but we also report DRLs using weight bands and extra beam filtration. The fact that we included only one radiograph unit with a CR detector system eliminated the possibility of conducting a dose comparison between the DR and CR detector systems in this patient review. Further, mobile (portable) X-ray radiograph units and extremity radiographs were not part of this study. This should be addressed in a separate study, given the huge number of variables associated with mobile X-ray radiography, such as inconsistent positioning and scan acquisition parameters. Another potential limitation of this study is the inability to report the actual field size as this important input variable is not reported among the digital image and communication in medicine (DICOM) header details. Similarly, acquisition parameters for some projections were not listed in the DICOM header details. A similar situation and limitation were reported by Alshamrani et al. [14]. Image quality assessment, whether qualitative or quantitative, was not part of this patient dose review report; however, there was no evidence suggesting the need for a repeat study due to compromised quality.

5. Conclusions

TDRLs and LDRLs were established for adult males and non-pregnant females subjected to chest and abdomen radiography. The DRLs established in this review were based on the projection and weight band, allowing for an effective auditing review. Dubai Health LDRL values are in line with most of the national and international reported DRLs.

Author Contributions

Conceptualization, E.Z.D.; methodology, E.Z.D., M.M.A.Z., F.Y.B., H.A.B., M.S., and S.P.; validation, E.Z.D., M.M.A.Z., F.Y.B., H.A.B., M.S., and S.P.; formal analysis, E.Z.D.; investigation, E.Z.D., M.M.A.Z., F.Y.B., H.A.B., M.S., and S.P.; data curation, E.Z.D., M.M.A.Z., F.Y.B., H.A.B., M.S., and S.P.; writing—original draft preparation, E.Z.D.; writing—review and editing, E.Z.D., M.M.A.Z., F.Y.B., H.A.B., M.S., and S.P.; visualization, E.Z.D.; supervision, E.Z.D.; project administration, E.Z.D., M.M.A.Z., F.Y.B., H.A.B., M.S., and S.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Dubai Scientific Research Ethics Committee (DSREC) DSREC-03/2024_14.

Informed Consent Statement

Patient consent was waived due to the nature of this study, i.e., retrospective review.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Acknowledgments

The authors would like to express thanks and appreciation for the support from the Higher Authorities of Dubai Health and to the staff in the Radiology Department across all Dubai health sector facilities for their continuous effort and endless support.

Conflicts of Interest

The authors declare no conflict of interest.

Acronyms

ALARAAs low as reasonably achievable
DRLDiagnostic reference level
ICRPInternational Commission on Radiation Protection
ESDEntrance surface dose
DAPDose area product
CuCopper
TDRLTypical diagnostic reference level
LDRLLocal diagnostic reference level
DRDigital radiography
CRComputed radiography
kVpPeak kilovoltage
mAsTube current time
SIDSource image distance
AECAutomatic exposure control
PAPosterior–anterior
APAnterior–posterior
LATLateral
GEGeneral electric healthcare
SIESiemens
PHIPhilips
RRoom
MinMinimum
MaxMaximum
AIAluminum
EIExposure index
UAEUnited Arab Emirates
DICOMDigital image and communication in medicine
PACSPicture archiving and communication system

References

  1. Hall, E.J.; Brenner, D.J. Cancer risks from diagnostic radiology. Br. J. Radiol. 2014, 81, 362–378. [Google Scholar] [CrossRef] [PubMed]
  2. SSG-46; Radiation Protection and Safety in Medical Uses of Ionizing Radiation. IAEA: Vienna, Austria, 2018; pp. 1–340.
  3. Vañó, E.; Miller, D.L.; Martin, C.J.; Rehani, M.M.; Kang, K.; Rosenstein, M.; Ortiz-López, P.; Mattsson, S.; Padovani, R.; Rogers, A. ICRP Publication 135: Diagnostic Reference Levels in Medical Imaging. Ann. ICRP 2017, 46, 1–144. [Google Scholar] [CrossRef] [PubMed]
  4. Lau, L.; Perez, M. Global Initiative on Radiation Safety in Healthcare Settings. Technical Meeting Report. 15th to 17th December 2008; WHO: Geneva, Switzerland; pp. 1–100.
  5. FANR. FANR-RG-007. Regulatory Guide Radiation Safety Version 0; FANR: Abu Dhabi, United Arab Emirates, 2012. [Google Scholar]
  6. FANR. FANR-REG-24. Basic Safety Standards for Facilities and Activities Involving Ionizing Radiation Other than in Nuclear Facilities; Version 1:1-63; FANR: Abu Dhabi, United Arab Emirates, 2018. [Google Scholar]
  7. Dalah, E.Z.; AlKaabi, M.K.; Al-Awadhi, H.A.; Antony, N.A. Screening Mammography Diagnostic Reference Level System According to Compressed Breast Thickness: Dubai Health. J. Imaging 2024, 10, 188. [Google Scholar] [CrossRef] [PubMed]
  8. Damilakis, J.; Frija, G.; Brkljacic, B.; Vano, E.; Loose, R.; Paulo, G.; Brat, H.; Tsapaki, V. How to establish and use local diagnostic reference levels: An ESR EuroSafe imaging expert statement. Insight Imaging 2023, 14, 27. [Google Scholar] [CrossRef]
  9. Tsapaki, V. Radiation dose optimization in diagnostic and interventional radiology: Current issues and future perspectives. Phys. Medica 2020, 79, 16–21. [Google Scholar] [CrossRef] [PubMed]
  10. ICRP 105. Radiation protection in medicine. Ann. ICRP 2007, 37, 1. [Google Scholar] [CrossRef]
  11. ICRP 103. The 2007 Recommendations of the International Commission on Radiological Protection. ICRP publication 103. Ann. ICRP 2007, 37, 1–332. [Google Scholar] [CrossRef]
  12. Siraj, M.; Dalah, E.Z.; Okasha, M.H.; Abdel Kader, G.I.; Mohamed Said, M.S.; Kalanter, R.A.; Razack, H.A.; Mohamad Ahmad, A.N.; Albastaki, A.A. Potentials of additional copper filtration on radiation dose and image quality for adults underwent digital chest X-ray imaging in Dubai Health Authority—UAE. Radiography 2023, 29, 552–556. [Google Scholar] [CrossRef] [PubMed]
  13. Qaelum, N.V. Dose Patient Radiation Dose Monitoring System User Manual; Version 19.02; Qaelum: Leuven, Belgium, 2019; pp. 1–135. [Google Scholar]
  14. Alshamrani, K.M.; Alkenawi, A.A.; Alghamdi, B.N.; Honain, R.H.; Alshehri, H.A.; Alshatiri, M.O.; Mail, N.; Subahi, A.; Alsharif, S.S.; Qurashi, A.A.; et al. Patient-based dose audit for common radiographic examinations with digital radiology systems: A retrospective cross-sectional study. Cureus 2021, 13, e15005. [Google Scholar] [CrossRef]
  15. Health Information and Quality Authority. National Diagnostic Reference Levels (DRLs) for General Radiography, Mammography and DXA Scanning; Health Information and Quality Authority: Cork, Ireland, 2021. [Google Scholar]
  16. Wachabauer, D.; Rothlin, F.; Moshammer, H.M.; Homolka, P. Diagnostic reference levels for conventional radiography and fluoroscopy in Austria: Results and updated national diagnostic reference levels derived from a nationwide survey. Eur. J. Radiol. 2019, 113, 135–139. [Google Scholar] [CrossRef]
  17. Roch, P.; Célier, D.; Dessaud, C.; Etard, C. Using diagnostic reference levels to evaluate the improvement of patient dose optimization and the influence of recent technologies in radiography and computed tomography. Eur. J. Radiol. 2018, 98, 68–74. [Google Scholar] [CrossRef]
  18. Jibiri, N.N.; Olowookere, C.J. Evaluation of dose-area product of common radiographic examinations towards estimating preliminary diagnostic reference levels (PDRLs) in Southwestern Nigeria. J. Appl. Clin. Med. Phys. 2016, 17, 392–404. [Google Scholar] [CrossRef] [PubMed]
  19. Hart, D.; Hillier, M.C.; Shrimpton, P.C. Doses to Patients from Radiographic and Fluoroscopic X-ray Imaging Procedures in the UK 2010 Review. HPA-CRCE-03; Center for Radiation, Chemical and Environmental Hazards (HPA-CRCE): London, UK, 2010. [Google Scholar]
  20. Gunn, C.; O’Brien, K.; Fossa, K.; Tonkopi, E.; Lanca, L.; Martins, C.T.; Muller, H.; Friedrich-Nel, H.; Abdolell, M.; Johansen, S. A multi institutional comparison of imaging dose and technique protocols for neonatal chest radiography. Radiography 2020, 26, e66–e72. [Google Scholar] [CrossRef]
  21. Alzyoud, K.; Al-Murshedi, S.; Abualkhael, K.; Alqawasmeh, F.; England, A. Supine and erect abdominal radiography: A coparison of radiation dose and image quality. Appl. Radiat. Isot. 2022, 190, 110477. [Google Scholar] [CrossRef]
  22. Precht, H.; Outzen, C.B.; Kusk, M.W.; Bisgaard, M.; Waaler, D. Comparison of conventional hand examination on six optimized DR systems. Radiat. Prot. Dosim. 2021, 194, 27–35. [Google Scholar] [CrossRef]
  23. Sundell, V.M.; Jousi, M.; Makela, T.; Kaasalainen, T.; Hukkinen, K. Comparing image quality of fibe breast tomosynthesis systems based on radiologists review of phantom data. Acta Radiol. 2023, 64, 1799–1807. [Google Scholar] [CrossRef] [PubMed]
  24. Jorgensen, P.B.; Krag-Nielsen, N.; Lindgren, L.; Morup, R.M.; Kaptein, B.; Stilling, M. Radiostereometric analysis: Comparison of radiation dose and precision in digital and computed radiography. Arch. Orthop. Trauma Surg. 2023, 143, 5919–5926. [Google Scholar] [CrossRef]
  25. Tonkopi, E.; Daniels, C.; Gale, M.J.; Schofield, S.C.; Sorhaindo, V.A.; VanLarkin, J.L. Local diagnostic reference levels for typical radiographic procedures. Candian Assoc. Radiol. J. 2012, 63, 237–241. [Google Scholar] [CrossRef] [PubMed]
  26. Martin, C.J. Optimization in general radiography. Biomed. Imaging Interv. J. 2007, 3, e18. [Google Scholar] [CrossRef]
  27. Butler, M.L.; Brennan, P.C. Nonselective filters offer important dose-reduction potential in radiological examination of the paediatric pelvis. J. Med. Imaging Radiat. Sci. 2009, 40, 15–23. [Google Scholar] [CrossRef]
  28. Zarghani, H.; Jabbari, M.; Pandesh, S. Evaluation of patient radiation doses using DAP meter in diagnostic radiology procedures in Birjand, Iran. Egypt. J. Radiol. Nucl. Med. 2023, 54, 58. [Google Scholar] [CrossRef]
Figure 1. Diagram showing the workflow used to establish the TDRL and LDRL values starting with data collection, covering the inclusion criteria, data processing, setting the TDRL and LDRL values, and concluding with application.
Figure 1. Diagram showing the workflow used to establish the TDRL and LDRL values starting with data collection, covering the inclusion criteria, data processing, setting the TDRL and LDRL values, and concluding with application.
Jimaging 11 00021 g001
Figure 2. TDRL values for each healthcare center plotted against the obtained LDRL for chest radiograph per projection. Used as an aiding tool for optimization, for example, healthcare centers A, B, and A in PA, AP, and LAT projections, respectively.
Figure 2. TDRL values for each healthcare center plotted against the obtained LDRL for chest radiograph per projection. Used as an aiding tool for optimization, for example, healthcare centers A, B, and A in PA, AP, and LAT projections, respectively.
Jimaging 11 00021 g002
Figure 3. TDRL values for each healthcare center plotted against the obtained LDRL for the abdomen radiograph per projection. Used as an aiding tool for optimization, for example, healthcare center D in erect and supine projections.
Figure 3. TDRL values for each healthcare center plotted against the obtained LDRL for the abdomen radiograph per projection. Used as an aiding tool for optimization, for example, healthcare center D in erect and supine projections.
Jimaging 11 00021 g003
Figure 4. Median DAP values for each room used for the specific chest radiograph plotted against the obtained LDRL for chest radiograph per projection. Used as an aiding tool for optimization; examples of rooms exceeding the LDRLs, B R1 in AP chest projection and rooms A R1 to R5, B R3 and R4 and E R1, R3 to R5 in the PA projection.
Figure 4. Median DAP values for each room used for the specific chest radiograph plotted against the obtained LDRL for chest radiograph per projection. Used as an aiding tool for optimization; examples of rooms exceeding the LDRLs, B R1 in AP chest projection and rooms A R1 to R5, B R3 and R4 and E R1, R3 to R5 in the PA projection.
Jimaging 11 00021 g004
Figure 5. TDRL reduction due to the additional beam filter of 0.1 mm Cu per radiograph projection for weight band population (60–80 kg). Top panel: chest radiograph DAP with and without additional beam filter. Bottom panel: abdomen radiograph DAP with and without additional beam filter.
Figure 5. TDRL reduction due to the additional beam filter of 0.1 mm Cu per radiograph projection for weight band population (60–80 kg). Top panel: chest radiograph DAP with and without additional beam filter. Bottom panel: abdomen radiograph DAP with and without additional beam filter.
Jimaging 11 00021 g005
Figure 6. Median DAP values per each vendor for the specific PA chest radiograph plotted against the obtained LDRL weight band PA chest radiograph projection.
Figure 6. Median DAP values per each vendor for the specific PA chest radiograph plotted against the obtained LDRL weight band PA chest radiograph projection.
Jimaging 11 00021 g006
Table 1. Room distribution and scan acquisition parameters are used to perform chest radiography across our healthcare centers (A to E).
Table 1. Room distribution and scan acquisition parameters are used to perform chest radiography across our healthcare centers (A to E).
Room Projection
PA/LAT/AP
kVp
Min–Max
mAs
Min–Max
SID (cm)
Min–Max
Mode
AEC/Manual
Grid RatioTotal Beam Filtration
A-R1 (DR-GE)PA120–1300.71–8.30180AEC6:12.7 mm Al (Default) + 0.1 mm Cu (Additional)
AP95–1002.10–11.13AECNone
LAT110–1202.10–8.70180AEC6:1
A-R2 (DR-GE)PA95–1300.72–14.21180AEC6:12.7 mm Al (Default) + 0.1 mm Cu (Additional)
AP95–1000.55–1.26AECNone
LAT100–1202.43–160.3180AEC6:1
A-R3 (CR-GE)PA95–1300.72–14.21180AEC6:12.7 mm Al (Default) + 0.1 mm Cu (Additional)
AP65–1420.50–19.84AECNone
LAT110–1202.39–17.09180AEC6:1
A-R4 (DR-FUJI)PA61–1291.00–10.00151–206AEC12:1-
A-R5
(DR-PHI)
PA70–1253.00–46.00180–181AEC8:13.38 mm Al (Default) + 0.1 mm Cu (Additional)
AP70–1251.51–3.58AEC-
LAT1251.88–17.50110–181AEC8:1
A-R6
(DR-SIE)
PA70–1253.00–46.00180–181AEC13:13.62 mm Al (Default) + 0.1 mm Cu (Additional)
AP85–907.00–9.00116–183AEC13:1
LAT1254.00–46.00180AEC13:1
A-R7
(DR-SIE)
PA125–1372.00–90.00116–183AEC13:13.62 mm Al (Default) + 0.1 mm Cu (Additional)
AP60–1252.00–37.0094–190AEC13:1
LAT1253.00–103.00167–180AEC13:1
B-R1
(DR-SIE)
PA60–1290.50–30.51107–224Manual13:11 mm Al (Default) + 0.1 mm Cu (Additional)
AP84–1250.72–4.65115–180Manual13:1
LAT113–1290.67–66.15180Manual13:1
B-R2
(DR-SIE)
PA70–1450.50–7.20115–182-13:12.7 mm Al (Default) + 0.1 mm Cu (Additional)
AP68–1250.21–2.24115–180-13:1
LAT1250.90–4.84150–180-13:1
B-R3
(DR-GE)
PA1200.78–7.95180AEC6:12.7 mm Al (Default) + 0.1 mm Cu (Additional)
B-R4
(DR-GE)
PA1200.85–6.36180AEC6:12.7 mm Al (Default) + 0.1 mm Cu (Additional)
C-R1
(DR-SIE)
PA1250.90–4.40149–210AEC13:11 mm Al (Default) + 0.1 mm Cu (Additional)
AP85–1251.70–5.50107–176ACE and Manual13:11 mm Al (Default)
D-R1
(DR-PHI)
PA77–1251.00–1.70168–180AEC8:11 mm Al (Default) + 0.1 mm Cu (Additional)
E-R1
(DR-SIE)
PA125– 1250.96– 5.40180–236AEC13:12.5 mm Al (Default) + 0.1 mm Cu (Additional)
E-R2
(DR-SIE)
PA125– 1260.63– 3.51180AEC13:12.5 mm Al (Default) + 0.1 mm Cu (Additional)
E-R3
(DR-GE)
PA1250.90–4.28180AEC13:12.5 mm Al (Default) + 0.1 mm Cu (Additional)
E-R4
(DR-PHI)
PA1251.00–3.10151–210AEC8:12.5 mm Al (Default) + 1 mm Al + 0.1 mm Cu (Additional)
E-R5
(DR-PHI)
PA1251.20–1.90151–180AEC8:12.5 mm Al (Default) + 1 mm Al + 0.1 mm Cu (Additional)
E-R6
(DR-SIE)
PA1250.90–4.80179–180AEC13:12.5 mm Al (Default) + 0.1 mm Cu (Additional)
E-R7
(DR-PHI)
PA1251.00–1.30178–253AEC8:12.5 mm Al (Default) + 1 mm Al + 0.1 mm Cu (Additional)
E-R8
(DR-SIE)
PA1251.00–9.70179–180AEC13:12.5 mm Al (Default) + 0.1 mm Cu (Additional)
kVp (peak tube voltage); mAs (current time); SID (source image distance).
Table 2. Room distribution and scan acquisition parameters are used to perform abdomen radiography across our healthcare centers (A to E).
Table 2. Room distribution and scan acquisition parameters are used to perform abdomen radiography across our healthcare centers (A to E).
Room Projection
Supine/Erect
kVp
Min–Max
mAs
Min–Max
SID (cm)
Min–Max
Mode
AEC/Manual
Grid RatioTotal Beam FiltrationChamber Configuration
A-R6 (DR-SIE)Erect 832.60–43.90115AEC13:13.62 mm Al (Default) + 0.1 mm Cu (Additional)Lateral
Supine 836.80–140.30115AEC13:1Medial and Lateral
A-R7 (DR-SIE)Erect 81–1171.80–249.80115–195AEC13:13.62 mm Al (Default) + 0.1 mm Cu (Additional)Lateral
Supine 81–872.40–93.0091–115AEC13:1Medial and Lateral
B-R1 (DR-SIE)Supine 80–902.79–63.1298–180Manual13:11 mm Al (Default) + 0.1 mm Cu (Additional)Medial and Lateral
Erect 81–918.42–68.48107–202Manual13:1Lateral
B-R2
(DR-SIE)
Supine 8111.93–25.89115–146Manual13:12.7 mm Al (Default) + 0.1 mm Cu (Additional)Medial and Lateral
Erect 8273.37180Manual13:1Lateral
C-R1
(DR-SIE)
Erect 75–932.00–155.7.0113–176AEC13:11 mm Al (Default) + 0.1 mm Cu (Additional)Lateral
Supine 81–961.70–74.50113–115AEC13:1Medial and Lateral
D-R1
(DR-PHI)
Erect 70–851.40–59.10115–150AEC8:11 mm Al (Default) + 0.1 mm Cu (Additional)Lateral
Supine77–963.80–30.60115AEC8:1Lateral and Medial
E-R1
(DR-SIE)
Erect 81– 814.66–177.42106–180AEC13:12.5 mm Al (Default) + 0.1 mm Cu (Additional)Lateral
Supine 81– 815.47–35.90106–150AEC13:1Medial
E-R2
(DR-SIE)
Erect 812.81–96.14102–180AEC13:12.5 mm Al (Default) + 0.1 mm Cu (Additional)Lateral
Supine 81–854.85–75.25105–155AEC13:1Medial
kVp (peak tube voltage); mAs (current time); SID (source image distance).
Table 3. Dose area product (DAP) spectrum including typical DRLs and the 25th and 75th percentiles for adult males and non-pregnant females. * refers to centers exceeding the LDRL.
Table 3. Dose area product (DAP) spectrum including typical DRLs and the 25th and 75th percentiles for adult males and non-pregnant females. * refers to centers exceeding the LDRL.
RadiographCenterRoomsWeight (kg)Number of ProjectionsDAP (dGy·cm2)
25th PERMedian (TDRL)75th PER
CHEST PAA733–16713040.500.67 *0.92
60–806520.490.61 *0.80
B437–17515740.310.420.69
60–804450.290.350.44
C139–1574360.450.580.73
60–802090.430.510.63
D149–102380.380.480.67
60–80210.380.430.52
E827–1273290.380.510.73
60–801440.360.460.69
CHEST APA324–1453701.491.701.75
60–801851.491.701.73
B245–1941191.013.28 *4.02
60–80560.913.22 *3.96
C154–133171.301.442.98
60–80111.331.442.72
CHEST LATA249–126331.272.52 *4.76
60–80171.332.213.17
B150–94280.491.314.74
60–80150.491.915.29
ABDOMEN
ERECT
A236–1602052.413.836.33
60–801182.433.555.29
B140–1692153.997.1810.98
60–80944.416.809.08
C139–1371103.667.0812.20
60–80443.324.506.85
D122–99163.268.28 *15.13
60–80114.528.42 *19.08
E245–108454.967.3416.05
60–80195.818.0812.19
ABDOMEN SUPINEA236–1602202.514.056.39
60–801182.573.264.90
B138–1142633.616.209.46
60–801493.975.958.05
C130–1371103.455.319.77
60–80442.864.205.19
D145–991711.0412.30 *22.07
60–801111.1612.20 *17.87
E245–108253.344.957.11
60–80133.344.115.16
Table 4. Dose area product (DAP) spectrum including local DRLs and the 25th and 75th percentiles for adult males and non-pregnant females.
Table 4. Dose area product (DAP) spectrum including local DRLs and the 25th and 75th percentiles for adult males and non-pregnant females.
RadiographNumber of CentersRoomsWeight (kg)Number of ProjectionsDAP (dGy·cm2)
25th PERMedian75th PER (LDRL)
Chest PA52127–17539180.480.510.58
60–8014710.430.460.51
Chest AP3624–1945251.571.702.47
60–802521.571.702.46
Chest LAT2349–126611.611.912.21
60–80321.992.062.13
Abdomen Erect5722–1695967.087.187.34
60–802864.506.808.08
Abdomen Supine5730–1606474.975.316.20
60–803364.114.205.95
Table 5. Dose area product (DAP) local DRLs compared to national and international reported DRLs for the same projection radiograph.
Table 5. Dose area product (DAP) local DRLs compared to national and international reported DRLs for the same projection radiograph.
RadiographWeight (kg)DRLs DAP (dGy·cm2)
Present StudyLiterature
Chest PA27–1750.580.88 [14],
1.2 [15],
1.3 [16],
2.5 [17],
3.14 [18],
1.0 [19]
60–800.51
Chest AP24–1942.471.3 [15],
1.5 [19],
8.87 [20]
60–802.46
Chest LAT49–1262.213.25 [14],
9.07 [20],
4.2 [16],
10 [17]
60–802.13
Abdomen Erect22–1697.3419.86 [21] **
60–808.08
Abdomen Supine30–1606.2010.11 [21] **
60–805.95
** The DAP value is reported in the mean, not the median or 75th percentile.
Table 6. Vendor-based dose area product (DAP) spectrum for adults (60–80 kg). * refers to DAP exceeding LDRLs.
Table 6. Vendor-based dose area product (DAP) spectrum for adults (60–80 kg). * refers to DAP exceeding LDRLs.
Vender Radiography Number of HospitalsRoomsNumber of ProjectionsDAP (dGy·cm2)
25th PERMedian75th PER
SIECHEST PA5119260.330.420.55
CHEST AP25721.052.66 *3.43
CHEST LAT23140.561.134.00
ABDOMEN ERECT462753.185.077.28
ABDOMEN SUPINE463252.854.536.52
GE CHEST PA373100.640.77 *0.94
CHEST AP251731.481.701.72
CHEST LAT112---
PHICHEST PA352580.440.520.61
CHEST AP227---
CHEST LAT117---
ABDOMEN ERECT11114.528.42 *19.08
ABDOMEN SUPINE111111.1612.20 *17.87
FUJICHEST PA11191.101.32 *1.89
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Dalah, E.Z.; Zarooni, M.M.A.; Binismail, F.Y.; Beevi, H.A.; Siraj, M.; Pottybindu, S. Typical and Local Diagnostic Reference Levels for Chest and Abdomen Radiography Examinations in Dubai Health Sector. J. Imaging 2025, 11, 21. https://doi.org/10.3390/jimaging11010021

AMA Style

Dalah EZ, Zarooni MMA, Binismail FY, Beevi HA, Siraj M, Pottybindu S. Typical and Local Diagnostic Reference Levels for Chest and Abdomen Radiography Examinations in Dubai Health Sector. Journal of Imaging. 2025; 11(1):21. https://doi.org/10.3390/jimaging11010021

Chicago/Turabian Style

Dalah, Entesar Z., Maitha M. Al Zarooni, Faryal Y. Binismail, Hashim A. Beevi, Mohammed Siraj, and Subrahmanian Pottybindu. 2025. "Typical and Local Diagnostic Reference Levels for Chest and Abdomen Radiography Examinations in Dubai Health Sector" Journal of Imaging 11, no. 1: 21. https://doi.org/10.3390/jimaging11010021

APA Style

Dalah, E. Z., Zarooni, M. M. A., Binismail, F. Y., Beevi, H. A., Siraj, M., & Pottybindu, S. (2025). Typical and Local Diagnostic Reference Levels for Chest and Abdomen Radiography Examinations in Dubai Health Sector. Journal of Imaging, 11(1), 21. https://doi.org/10.3390/jimaging11010021

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop