Li YM, Zhu YM, Gao LM, Han ZW, Chen XJ, Yan C, Ye RP, Cao DR. Radiomic analysis based on multi-phase magnetic resonance imaging to predict preoperatively microvascular invasion in hepatocellular carcinoma. World J Gastroenterol 2022; 28(24): 2733-2747 [PMID: 35979164 DOI: 10.3748/wjg.v28.i24.2733]
Corresponding Author of This Article
Dai-Rong Cao, MD, Chief Doctor, Department of Radiology, The First Affiliated Hospital of Fujian Medical University, No. 20 Chazhong Road, Fuzhou 350005, Fujian Province, China. 3502505836@qq.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Table 3 Receiver operating characteristic results of radiomic analysis based on most discriminant factors in arterial phase and histogram parameters to discriminate between microvascular invasion+ and microvascular invasion- groups
MVI (-)
MVI (+)
AUC
Sensitivity
Specificity
P value
Cut-off value
MDF
(-4.80 ± 6.14) × 10-2
(2.63 ± 4.74) × 10-2
0.84 (0.80-0.88)
87%
66%
< 0.001
1.97 × 10-2
Histogram parameters
Mean
(1.27 ± 0.28) × 102
(1.09 ± 0.26) × 102
0.68 (0.63-0.74)
78%
52%
< 0.001
1.06 × 102
Variance
(5.28 ± 4.24) × 102
(4.57 ± 3.21) × 102
0.54 (0.48-0.61)
68%
45%
0.204
3.32 × 102
Skewness
(-9.71 ± 58.46) × 10-2
(2.52 ± 5.79) × 10-1
0.68 (0.62-0.74)
76%
58%
< 0.001
1.30 × 10-1
Kurtosis
(-5.24 ± 91.73) × 10-2
(4.06 ± 11.19) × 10-1
0.60 (0.53-0.66)
90%
25%
0.004
-5.96 × 10-1
Perc.01%
(0.80 ± 0.20) × 102
(0.68 ± 0.20) × 102
0.68 (0.62-0.74)
78%
50%
< 0.001
64.5
Perc.10%
(0.99 ± 0.23) × 102
(0.84 ± 0.22) × 102
0.68 (0.62-0.74)
96%
32%
< 0.001
69.5
Perc.50%
(1.28 ± 0.30) × 102
(1.08 ± 0.27) × 102
0.69 (0.63-0.74)
76%
47%
< 0.001
105.5
Perc.90%
(1.54 ± 0.34) × 102
(1.35 ± 0.31) × 102
0.65 (0.59-0.71)
57%
70%
< 0.001
148.5
Perc.99%
(1.73 ± 0.39) × 102
(1.57 ± 0.35) × 102
0.62 (0.55-0.68)
48%
74%
< 0.001
177.5
Table 4 Receiver operating characteristic results of radiomic analysis based on most discriminant factors in portal venous phase and histogram parameters to discriminate between microvascular invasion+ and microvascular invasion- groups
MVI (-)
MVI (+)
AUC
Sensitivity
Specificity
P value
Cut-off value
MDF
(7.84 ± 9.26) × 10-3
(-4.30 ± 7.00) × 10-3
0.85 (0.81-0.90)
67%
90%
< 0.001
4.17 × 10-3
Histogram parameters
Mean
(1.24 ± 0.24) × 102
(1.08 ± 0.24) × 102
0.69 (0.63-0.75)
78%
54%
< 0.001
106.6
Variance
(3.07 ± 4.11) × 102
(4.30 ± 3.59) × 102
0.67 (0.61-0.74)
80%
50%
< 0.001
165.9
Skewness
(1.93 ± 6.11) × 10-1
(1.87 ± 5.85) × 10-1
0.50 (0.44-0.57)
16%
88%
0.09
7.76 × 10-1
Kurtosis
(0.60 ± 1.20)
(0.62 ± 1.19)
0.51 (0.44-0.57)
57%
51%
0.787
1.62 × 10-1
Perc.01%
(91.84 ± 30.33)
(67.16 ± 24.85)
0.74 (0.68-0.80)
50%
90%
< 0.001
101.5
Perc.10%
(1.06 ± 0.29) × 102
(0.84 ± 0.25) × 102
0.72 (0.67-0.78)
56%
81%
< 0.001
107.5
Perc.50%
(1.25 ± 0.24) × 102
(1.07 ± 0.24) × 102
0.69 (0.64-0.75)
78%
55%
< 0.001
106.5
Perc.90%
(1.44 ± 0.27) × 102
(1.32 ± 0.27) × 102
0.62 (0.56-0.68)
63%
61%
< 0.001
137.5
Perc.99%
(1.61 ± 0.31) × 102
(1.56 ± 0.34) × 102
0.55 (0.49-0.61)
35%
77%
0.179
176.5
Table 5 Univariate analysis of risk factors for most discriminant factors and patient characteristic
Citation: Li YM, Zhu YM, Gao LM, Han ZW, Chen XJ, Yan C, Ye RP, Cao DR. Radiomic analysis based on multi-phase magnetic resonance imaging to predict preoperatively microvascular invasion in hepatocellular carcinoma. World J Gastroenterol 2022; 28(24): 2733-2747