An Analysis of Computed Tomography Diagnostic Reference Levels in India Compared to Other Countries
Abstract
:1. Introduction
1.1. Automatic Exposure Control (AEC)
1.2. Tube Voltage Selection (kVp Optimization)
1.3. Iterative Reconstruction Algorithms
1.4. Dose Modulation
1.5. Pitch Adjustment
1.6. Organ-Based Dose Reduction
1.7. Dose Tracking and Monitoring
1.8. Paediatric-Specific Protocols
1.9. Radiation Protection in Computed Tomography [14]
1.9.1. Justification
1.9.2. Optimization
1.9.3. Automatic Exposure Control (AEC)
1.9.4. Patient Dose Monitoring and Dose Alerts
1.9.5. Paediatric and High-Risk Groups
1.9.6. Education and Training
1.9.7. Collimation and Shielding
1.9.8. Quality Assurance and Quality Control
1.9.9. ALARA Culture
1.10. Justification of Medical Exposure in CT
1.11. Optimization of Medical Examination in CT
1.12. Quantities for CT Dosimetry
1.13. CT Dose Descriptors
1.13.1. Dose-Length Product (DLP)
1.13.2. Computed Tomography Dose Index (CTDI)
CTDIvol (CTDI Volume)
- CTDIvol is the most frequently used variant measured in milligray (mGy) units.
- It represents the average radiation dose within a specific region of the patient’s body, usually a cylindrical phantom or a region of interest (ROI).
- CTDIvol is calculated by measuring the radiation dose along the central axis of the phantom or ROI and then averaging it over multiple scan acquisitions.
- The formula for CTDIVOL calculation involves integrating the radiation dose profile across the scan length and dividing it by the nominal slice thickness.
- CTDIvol estimates the radiation-dose-per-unit length along the scan axis and helps compare radiation doses between different CT scanners and protocols.
CTDIW (CTDI Weighted)
- CTDIW is an older variant of CTDI that was commonly used before CTDIvol became more prevalent.
- CTDIW is also measured in milligrays (mGy) and represents the average radiation dose within the central region of a phantom or ROI.
- It is calculated by measuring the radiation dose at specific points along the central axis of the phantom or ROI and taking their weighted average.
- The weighting factors used in CTDIW calculation consider the shape of the radiation-dose profile and provide a more accurate representation of the dose distribution.
- While CTDIW is less commonly reported nowadays, it is sometimes used for legacy purposes or when comparing radiation doses from older CT scanners.
1.14. DRLS in the International Context
Country | Descriptor | Abdomen | Chest * | Chest ** | Pelvic | C-Spine | Head |
---|---|---|---|---|---|---|---|
South India [31] | CTDIv | 12 | 10 | - | - | - | 47 |
DLP | 550 | 445 | - | - | - | 1041 | |
Puducherry, India [32] | CTDIv | 16 | 12 | - | - | - | 32 |
DLP | 482 | 456 | - | - | - | 925 | |
Kerala, India [33] | CTDIv | 9 | 5 | - | - | - | 27 |
DLP | 319 | 164 | - | - | - | 620 | |
IAEA CRPR [34] | CTDIw | 10.9 | 9.5 | - | - | - | 47 |
DLP | 696 | 447 | - | - | - | 527 | |
Jordan [35] | CTDIw | 17.9 | - | - | - | - | - |
DLP | 929 | - | - | - | - | - | |
EC [36] | CTDIv | 13–35 | 10 | 10 | - | - | 60 |
DLP | 460–1200 | 400 | 400 | 450–650 | 400–600 | 1000 | |
USA [4] | CTDIv | - | 12 | 13 | - | 28 | 56 |
DLP | - | 443 | 469 | - | 562 | 962 | |
Singapore [37] | CTDIw | 11 | 9 | - | - | - | 41 |
DLP | 437 | 226 | - | - | - | 718 | |
Japan [38] | CTDIv | - | 15 | 15 | - | - | 85 |
DLP | - | 550 | 550 | - | - | 1350 | |
Canada [39] | CTDIv | - | 14 | 14 | - | - | 82 |
DLP | - | 521 | 521 | - | - | 1302 | |
UK [4] | CTDIv | 14 | 12 | 12 | - | 21 | 60 |
DLP | 910 | 610 | 610 | - | 440 | 970 | |
Australia [4] | CTDIv | - | 15 | 15 | - | - | 60 |
DLP | - | 450 | 450 | - | - | 1000 | |
Korea [40] | CTDIv | 10.58 | - | 7.3 | - | 17.89 | 63.7 |
DLP | 1511.41 | - | 297.05 | - | 434.04 | 1119.4 | |
Ireland [41] | CTDIv | 13 | 9 | 9 | - | 19 | 58 |
DLP | 1120 | 390 | 390 | 570 | 420 | 940 | |
Syria [42] | CTDIv | 24.1 | 22 | 30.5 | 27.5 | - | 60.7 |
DLP | 721 | 520 | 133 | 542 | - | 793 | |
Turkey [42] | CTDIv | 13.3 | 11.6 | 11.3 | 19.4 | - | 66.4 |
DLP | 204 | 289 | 283 | 421 | - | 810 |
State | Descriptor | Head | Neck | Chest | Abdomen | Pelvic | AP | C-Spine |
---|---|---|---|---|---|---|---|---|
South India [31] | CTDIv | 47 | 10 | - | 12 | - | - | - |
DLP | 1041 | 445 | - | 550 | - | - | - | |
Puducherry, India [32] | CTDIv | 32 | 12 | - | 16 | - | - | - |
DLP | 925 | 456 | - | 482 | - | - | - | |
Kerala, India [33] | CTDIv | 27 | 5 | - | 9 | - | - | - |
DLP | 620 | 164 | - | 319 | - | - | - |
Country | Descriptor | Abdomen | Chest | Neck | Pelvic | C-Spine | AP | Head |
---|---|---|---|---|---|---|---|---|
EC | CTDIv | 13–35 | 10 | - | - | - | - | 60 |
DLP | 460–1200 | 400 | - | 450–650 | 400–600 | - | 1000 | |
Switzerland | CTDIv | - | 10 | 20 | 20 | 30 | 15 | 65 |
DLP | - | 400 | 500 | 500 | 600 | 650 | 1000 | |
Norway | CTDIv | 18 | 15 | 20 | - | 20 | - | 70 |
DLP | 800 | 400 | - | - | 400 | - | 1000 | |
Slovenia | CTDIv | 17 | 15 | - | - | - | - | - |
DLP | 555 | 475 | - | - | - | - | - | |
UK | CTDIv | 14 | 12 | - | - | 28 | 13 | 60 |
DLP | 560 | 610 | - | - | 600 | 510 | 970 | |
Germany | CTDIv | - | - | - | - | - | - | - |
DLP | 900 | 400 | - | 450 | - | - | 900 | |
France | CTDIv | - | 15 | - | - | - | - | 65 |
DLP | - | 475 | - | - | - | - | 1050 | |
Luxembourg | CTDIv | - | - | - | - | - | - | - |
DLP | - | 270 | 440 | - | 440 | - | 1000 | |
Sweden | CTDIv | 25 | 20 | - | - | - | - | 75 |
DLP | - | 600 | - | - | - | - | 1200 |
Exam | Descriptor | Abdomen | Chest | Chest HR | Pelvic | LS | Head | AP |
---|---|---|---|---|---|---|---|---|
Nigeria [43] | CTDIv | 15 * | 17 | - | - | - | 61 | 20 |
DLP | 757 * | 735 | - | - | - | 1310 | 1486 | |
Sudan [44] | CTDIv | 11.6 | 11.5 | - | - | - | 65 | - |
DLP | 437 | 327 | - | - | - | 758 | - | |
Kenya [44] | CTDIw | 20 | 19 | - | 21 | 20 | 61 | 18 ** |
DLP | 1842 | 895 | - | 1928 | 712 | 1612 | 1182 ** | |
Cameroon [45] | CTDIv | - | 52 | - | - | 25 | - | 15 |
DLP | - | 1151 | - | - | 769 | - | 716 | |
Morocco [46] | CTDIv | - | - | - | - | - | - | - |
DLP | - | - | - | - | - | 1408 | - | |
Egypt [47] | CTDIv | 31 | 22 | 22 | - | - | 30 | 31 |
DLP | 1425 | 420 | 420 | - | - | 1360 | 1325 | |
Ghana [48] | CTDIw | 35 | 30 | 35 | 35 | 35 | - | - |
DLP | 780 | 650 | 280 | 570 | 780 | - | - | |
Tanzania [49] | CTDIw | 35 | 30 | 35 | 35 | 35 | 60 | - |
DLP | 780 | 650 | 280 | 570 | 780 | 1050 | - | |
Algeria [50] | CTDIv | 25 | - | - | - | 35 | 50 | - |
DLP | - | - | - | - | - | - | - | |
South Africa [51] | CTDIv | - | 32 | - | - | - | 32 | 7 |
DLP | - | 593 | - | - | - | 767 | 386 | |
Cote d’Ivoire [34] | CTDIv | - | - | - | - | - | 50.9 | - |
DLP | - | - | - | - | - | 982.879 | - | |
Tunisia [52] | CTDIv | - | - | - | 25.4 | - | 24.3 | - |
DLP | - | - | - | 599 | - | 874 | - |
1.15. Defining Diagnostic Reference Levels (DRLs)
- Identifying facilities or procedures where doses are unusually high.
- Encouraging facilities to review their protocols and equipment performance.
- Providing a benchmark for comparing practices across different facilities.
1.16. Use of DRL Levels
1.17. Relationship between Image Quality and Radiation Dose
2. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Approximate CT Dose Contribution to Population (%) | Dose Contribution from CT Procedures |
---|---|
34% | Worldwide population [1] |
50% | UK population [2] |
50% | American population [4] |
60% | European population [5] |
Country | Descriptor | Abdomen | Chest * | Chest ** | Pelvic | C-Spine | Head | AP |
---|---|---|---|---|---|---|---|---|
Singapore [37] | CTDIw | 11 | 9 | - | - | - | 41 | - |
DLP | 437 | 226 | - | - | - | 718 | - | |
China [53] | CTDIv | 20 | 15 | - | - | - | 60 | - |
DLP | 790 | 470 | - | - | - | 860 | - | |
Russia [30] | CTDIv | - | - | - | - | - | - | - |
DLP | 780 | 500 | - | 880 | - | 1190 | - | |
Puducherry, India [32] | CTDIv | - | 32 | 12 | 16 | - | CTDIv | - |
DLP | - | 925 | 456 | 482 | - | DLP | - | |
Kerala, India [33] | CTDIv | - | 27 | 5 | 9 | - | CTDIv | - |
DLP | - | 620 | 164 | 319 | - | DLP | - | |
Iran [54] | CTDIv | 10 | 10 | - | - | - | 43 | - |
DLP | - | 330 | - | - | - | 700 | 550 | |
South India [31] | CTDIv | 12 | 10 | - | - | - | 47 | - |
DLP | 550 | 445 | - | - | - | 1041 | - | |
Japan [38] | CTDIv | - | 15 | 15 | - | - | 85 | 20 |
DLP | - | 550 | 550 | - | - | 1350 | 1000 | |
Turkey [42] | CTDIv | 13.3 | 11.6 | 11.3 | 19.4 | - | 66.4 | - |
DLP | 204 | 289 | 283 | 421 | - | 810 | - | |
Korea [40] | CTDIv | 10.58 | - | 7.3 | - | 17.89 | 63.7 | - |
DLP | 1511.41 | - | 297.05 | - | 434.04 | 1119.4 | - | |
Syria [42] | CTDIv | 24.1 | 22 | 30.5 | 27.5 | - | 60.7 | - |
DLP | 721 | 520 | 133 | 542 | - | 793 | - | |
UAE [55] | CTDIv | - | - | - | - | - | - | - |
DLP | - | 443 | - | - | - | 871 */1071 ** | 671 ** | |
Malaysia [54] | CTDIv | - | - | - | - | - | - | - |
DLP | 450 | 600 | - | 730 | - | 1050 | - | |
Taiwan [56] | CTDIw | 31 | - | - | - | - | 72 | - |
DLP | 680 | - | - | - | - | 850 | - | |
Saudi Arabia [57] | CTDIv | - | 6–16 | - | - | - | 24–95 | 5–17 |
DLP | - | 160–579 | - | - | - | 495–1435 | 269–996 | |
Indonesia [58] | CTDIv | - | - | - | - | - | 62.08 | - |
DLP | - | - | - | - | - | 1371 | - |
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Malik, M.M.U.D.; Alqahtani, M.; Hadadi, I.; AlQhtani, A.G.M.; Alqarni, A. An Analysis of Computed Tomography Diagnostic Reference Levels in India Compared to Other Countries. Diagnostics 2024, 14, 1585. https://doi.org/10.3390/diagnostics14151585
Malik MMUD, Alqahtani M, Hadadi I, AlQhtani AGM, Alqarni A. An Analysis of Computed Tomography Diagnostic Reference Levels in India Compared to Other Countries. Diagnostics. 2024; 14(15):1585. https://doi.org/10.3390/diagnostics14151585
Chicago/Turabian StyleMalik, Maajid Mohi Ud Din, Mansour Alqahtani, Ibrahim Hadadi, Abdullah G. M. AlQhtani, and Abdullah Alqarni. 2024. "An Analysis of Computed Tomography Diagnostic Reference Levels in India Compared to Other Countries" Diagnostics 14, no. 15: 1585. https://doi.org/10.3390/diagnostics14151585
APA StyleMalik, M. M. U. D., Alqahtani, M., Hadadi, I., AlQhtani, A. G. M., & Alqarni, A. (2024). An Analysis of Computed Tomography Diagnostic Reference Levels in India Compared to Other Countries. Diagnostics, 14(15), 1585. https://doi.org/10.3390/diagnostics14151585