Ippolito D, Casiraghi AS, Franzesi CT, Fior D, Meloni F, Sironi S. Low-dose computed tomography with 4th-generation iterative reconstruction algorithm in assessment of oncologic patients. World J Gastrointest Oncol 2017; 9(10): 423-430 [PMID: 29085569 DOI: 10.4251/wjgo.v9.i10.423]
Corresponding Author of This Article
Davide Ippolito, MD, School of Medicine, University of Milano-Bicocca, Via Pergolesi 33, 20900 Monza, Italy. davide.atena@tiscalinet.it
Research Domain of This Article
Oncology
Article-Type of This Article
Evidence-Based Medicine
Open-Access Policy of This Article
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World J Gastrointest Oncol. Oct 15, 2017; 9(10): 423-430 Published online Oct 15, 2017. doi: 10.4251/wjgo.v9.i10.423
Table 1 Descriptive table of weight groups in the patients population (n = 51)
Weight groups
No. of patients
M/F
Mean ± SD (yr)
Group A (41-60 kg)
8
3/5
70.5 ± 8.6
Group B (61-80 kg)
25
9/16
67.6 ± 11.5
Group C (81-90 kg)
13
11/2
71.8 ± 7.4
Group D ( > 90 kg)
5
4/1
59.2 ± 10.1
All patients
51
34/18
68.3 ± 10.4
Table 2 Comparison of Dose-Length Product and Volumetric Computed Tomographic Dose Index obtained with standard-dose and low-dose protocols in all patients (n = 51) and according to weight (kg)
BMI groups
No. of patients
CTDIvol (mGy)
DLP (mGy*cm)
% DLP reduction
Standard-dose
Low-dose
P-value
Standard-dose
Low-dose
P-value
Group A (41-60 kg)
8
14.1 ± 0.0
9.8 ± 1.5
0.012
891.9 ± 36.3
627.5 ± 92.9
0.012
29.6
Group B (61-80 kg)
25
21.1 ± 0.0
14.0 ± 2.8
< 0.001
1386.6 ± 65.9
920.0 ± 175.0
< 0.001
33.5
Group C (81-90 kg)
13
24.6 ± 0.0
17.2 ± 2.9
0.001
1656.8 ± 61.2
1162.6 ± 204.2
0.001
29.9
Group D ( > 90 kg)
5
27.4 ± 1.5
26.5 ± 5.4
0.5
1910.4 ± 147.6
1835.1 ± 359.5
0.5
2.5
All patients
51
21.4 ± 4.0
15.4 ± 5.2
< 0.001
1429.2 ± 297.7
1025.6 ± 370.9
< 0.001
28.9
Table 3 Qualitative scoring of image noise, image sharpness and diagnostic quality of computed tomography images from Reader 1 and Reader 2
Image noise
Image sharpness
Diagnostic quality
Reader 1
Reader 2
Reader 1
Reader 2
Reader 1
Reader 2
Low-dosea
3.4 ± 0.6
3.6 ± 0.6
3.7 ± 0.5
3.7 ± 0.5
3.7 ± 0.5
3.8 ± 0.4
Group A (n = 8)
3.6 ± 0.7
3.8 ± 0.5
3.6 ± 0.5
3.5 ± 0.5
3.9 ± 0.4
3.8 ± 0.5
Group B (n = 25)
3.4 ± 0.6
3.6 ± 0.6
3.8 ± 0.5
3.8 ± 0.4
3.7 ± 0.6
3.8 ± 0.4
Group C (n = 13)
3.1 ± 0.4
3.6 ± 0.5
3.6 ± 0.5
3.9 ± 0.4
3.6 ± 0.5
4.0 ± 0.0
Group D (n = 5)
3.3 ± 0.6
3.0 ± 1.0
4.0 ± 0.0
3.3 ± 0.6
4.0 ± 0.0
3.7 ± 0.6
Standard-doseb
3.6 ± 0.7
3.5 ± 0.6
3.3 ± 0.7
3.5 ± 0.6
3.7 ± 0.5
3.8 ± 0.4
Group A (n = 8)
3.9 ± 0.4
3.5 ± 0.5
3.1 ± 0.6
3.4 ± 0.5
3.9 ± 0.4
3.8 ± 0.5
Group B (n = 25)
3.7 ± 0.5
3.7 ± 0.5
3.5 ± 0.6
3.5 ± 0.6
3.8 ± 0.4
3.8 ± 0.4
Group C (n = 13)
3.3 ± 0.5
3.3 ± 0.5
2.9 ± 0.7
3.9 ± 0.4
3.6 ± 0.5
4.0 ± 0.0
Group D (n = 5)
2.3 ± 1.5
3.0 ± 1.0
3.0 ± 1.0
3.3 ± 0.6
2.7 ± 1.2
3.7 ± 0.6
P-valuea-b
0.292
0.655
0.012
0.088
0.437
0.206
k Cohen Reader 1-Reader 2
0.694a-0.756b
0.783a-0.672b
0.704a-0.786b
Table 4 Computed tomography values (HU), standard deviation of computed tomography values (SD) and signal-to-noise ratio obtained with standard-dose and low-dose protocols
Low-dose
Standard-dose
P-value
HUaorta (n = 51)
166.20 ± 18.83
154.17 ± 24.82
< 0.001
HUliver (n = 51)
112.55 ± 16.49
103.90 ± 17.49
< 0.001
HUspleen (n = 51)
126.24 ± 13.60
112.77 ± 15.66
< 0.001
SDliver (n = 51)
16.81 ± 2.02
14.41 ± 3.33
< 0.001
SDspleen (n = 51)
16.78 ± 2.04
14.72 ± 3.26
< 0.001
SDfat (n = 51)
12.17 ± 2.77
12.07 ± 2.98
0.307
SNRliver (n = 51)
6.94 ± 1.32
7.80 ± 2.30
0.002
SNRliver Group A (n = 8)
8.09 ± 1.63
9.36 ± 2.27
0.05
SNRliver Group B (n = 25)
6.95 ± 1.22
8.53 ± 1.97
< 0.001
SNRliver Group C (n = 13)
6.47 ± 1.00
6.66 ± 1.34
0.972
SNRliver Group D (n = 5)
6.29 ± 1.19
4.60 ± 1.77
0.08
SNRspleen (n = 51)
7.73 ± 1.46
8.10 ± 2.04
0.153
SNRspleen Group A (n = 8)
9.25 ± 2.31
10.53 ± 1.69
0.092
SNRspleen Group B (n = 25)
7.60 ± 1.10
8.04 ± 1.86
0.177
SNRspleen Group C (n = 13)
7.26 ± 1.11
7.20 ± 1.45
0.65
SNRspleen Group D (n = 5)
7.21 ± 0.82
6.86 ± 1.89
0.893
Citation: Ippolito D, Casiraghi AS, Franzesi CT, Fior D, Meloni F, Sironi S. Low-dose computed tomography with 4th-generation iterative reconstruction algorithm in assessment of oncologic patients. World J Gastrointest Oncol 2017; 9(10): 423-430