| Literature DB >> 31019596 |
Daryoush Khoramian1, Soroush Sistani2, Razzagh Abedi Firouzjah3.
Abstract
PURPOSE: To assess and compare radiation dose and image quality from non-contrast head and neck computed tomography (CT) examinations from four different multi-detector CT (MDCT) scanners.Entities:
Keywords: computed tomography; image quality; medical radiation dose; multi-detector CT (MDCT)
Year: 2019 PMID: 31019596 PMCID: PMC6479057 DOI: 10.5114/pjr.2019.82743
Source DB: PubMed Journal: Pol J Radiol ISSN: 1733-134X
CT scanner characteristics utilised in this study
| Scanner | X-Ray tube | Gantry aperture [cm] | Focal spot size [mm] | Total filtration [mm] Al equivalent | Detector type | No. of detector element in z-axis | mA range and step size |
|---|---|---|---|---|---|---|---|
| Siemens Dura Alron-B | 70 | 0.5 × 0.7 | 2 mm PTFE + 0.6 mm Ti (head), 2 mm PTFE + 1.2 mm Ti (body) | Solid state (UFC) | 8 | 28-500 (1 mA steps) | |
| Siemens Dura 422 MV | 70 | 0.5 × 0.8 | 6.3 (at 140 kV) | Solid state (UFC) | 16 | 20-345 (1 mA steps) | |
| Siemens Dura 422 MV | 70 | 0.5 × 0.8 | 6.3 (at 140 kV) | Solid state (UFC) | 24 | 20-345 (1 mA steps) | |
| Siemens Straton | 70 | 0.6 × 0.7 | 6.8 | Solid state (UFC) | 40 | 28-665 (1 mA steps) |
Characteristics of scan protocols included in the study
| Parameters | Head scan | Neck scan | ||||||
|---|---|---|---|---|---|---|---|---|
| 4-slices | 6-slices | 16-slices | 64-slices | 4-slices | 6-slices | 16-slices | 64-slices | |
| No. of patients | 20 | 37 | 20 | 30 | 22 | 15 | 11 | 14 |
| kV | 120 | 110 | 110 | 120 | 120 | 110 | 110 | 120 |
| mAs | 165 ± 23 | 149 ± 35 | 125 ± 18 | 352 ± 74 | 127 ± 25 | 120 ± 64 | 110 ± 21 | 194 ± 39 |
| Collimation | 4 × 1 | 6 × 3 | 12 × 1.2 | 24 × 1.2 | 4 × 2.5 | 6 × 2 | 16 × 1.2 | 64 × 0.6 |
| Pitch | Axial | Axial | Axial | Axial | 1.7, 0.8 | 1.5, 1.2 | 1.5 | 1.5, 1.2, 1.3 |
| Scan length [mm] | 130 ± 17 | 136 ± 41 | 135 ± 15 | 139 ± 25 | 181 ± 10 | 158 ± 62 | 225 ± 74 | 237 ± 43 |
Values are presented in mean ± SD
Figure 1Images of quality control phantom used for image quality assessment (A) ROI's for noise and uniformity assessment (B) spatial resolution object
Figure 2Normalized CTDIw for (A) neck and (B) head scans
The CTDIv, DLP, ED, Noise, fave, and Q-factor for all participating CT scanners
| Parameters | Head scan | Neck scan | ||||||
|---|---|---|---|---|---|---|---|---|
| 4-MDCT | 6-MDCT | 16-MDCT | 64-MDCT | 4-MDCT | 6-MDCT | 16-MDCT | 64-MDCT | |
| CTDIv [mGy] | 32 ± 4 | 27 ± 2 | 18 ± 3 | 49 ± 4 | 24 ± 6 | 18 ± 3 | 16 ± 2 | 27 ± 3 |
| DLP [mGy . cm] | 428 ± 55 | 373 ± 112 | 242 ± 28 | 692 ± 173 | 457 ± 171 | 286 ± 127 | 374 ± 123 | 645 ± 79 |
| ED [mSv] | 0.82 ± 0.11 | 0.71 ± 0.21 | 0.46 ± 0.05 | 1.31 ± 0.33 | 2.33 ± 0.87 | 1.46 ± 0.65 | 1.91 ± 0.62 | 3.29 ± 0.40 |
| Noise | 5.4 ± 0.7 | 4.3 ± 0.3 | 4.3 ± 0.4 | 2.2 ± 0.1 | 5.6 ± 0.5 | 4.3 ± 0.1 | 3.9 ± 0.2 | 2.8 ± 0.1 |
| fave | 6.5 | 6.6 | 6.9 | 7.2 | 6.7 | 7.6 | 7.5 | 7.9 |
| Q-factor | 2.4 | 3.3 | 4.4 | 5.6 | 3.4 | 4.6 | 4.7 | 6.0 |
Figure 3MTF curves for (A) neck and (B) head scans
The computed tomography (CT) numbers and their variations in the centre and peripheral of the phantom
| Scanners | Head scan | Neck scan | ||||
|---|---|---|---|---|---|---|
| CT number (HU) | CT number (HU) | |||||
| Centre of phantom | Mean of peripheral regions | Variation | Centre of phantom | Mean of peripheral regions | Variation | |
| 4-MDCT | 2.6 | 0.5 ± 0.4 | 2.1 ± 0.4 | –0.3 | 0.3 ± 0.6 | 0.6 ± 0.6 |
| 6-MDCT | 0.9 | 0.3 ± 0.2 | 0.6 ± 0.2 | 1.2 | 1.6 ± 0.6 | 0.4 ± 0.6 |
| 16-MDCT | –0.4 | 0.6 ± 0.4 | 1.2 ± 0.4 | –0.5 | 0.4 ± 0.3 | 0.9 ± 0.3 |
| 64-MDCT | 0.1 | 0.4 ± 0.8 | 0.3 ± 0.8 | –0.2 | 0.7 ± 0.5 | 0.9 ± 0.5 |
International CTDIv, DLP, and ED comparison
| Head scan | CTDIv | DLP | ED | Neck scan | CTDIv | DLP | ED |
|---|---|---|---|---|---|---|---|
| This study (2016)[ | 31 | 433 | 0.8 | This study (2016)[ | 21 | 440 | 2.3 |
| UK (2003)[ | 56 | 690 | 1.5 | UK (2011)[ | 24 | 525 | – |
| UK (2011)[ | 58 | 890 | – | East Anglia (2002)[ | 330 | 3.2 | |
| Italy (2014)[ | 64 | 1086 | – | Netherlands (2013) [ | 329 | 1.7 | |
| India (2014)[ | 32 | 875 | – | ||||
| Ireland (2012)[ | 64 | 857 | – | ||||
| East Anglia (2002)[ | – | 760 | 1.7 | ||||
| Taiwan (2007)[ | – | 665 | 1.6 | ||||
| Sudan (2011)[ | 65.4 | 758 | 1.6 | ||||
| Tanzania (2006)[ | – | 912 | 2.1 | ||||
| Netherlands (2013) [ | – | 813 | 1.5 |
based on ICRP 60 tissue weighting factor
based on ICRP 103 tissue weighting factor
mean value
median value