Li M, Jin YM, Zhang YC, Zhao YL, Huang CC, Liu SM, Song B. Radiomics for predicting perineural invasion status in rectal cancer. World J Gastroenterol 2021; 27(33): 5610-5621 [PMID: 34588755 DOI: 10.3748/wjg.v27.i33.5610]
Corresponding Author of This Article
Bin Song, MD, Chief Doctor, Professor, Department of Radiology, West China Hospital of Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, Sichuan Province, China. songlab_radiology@163.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 2 Risk factors selected by logistic regression analysis
Variables
Univariate
Multivariate
OR
P value
OR
P value
Age
1.001
0.961
-
-
Sex
0.787
0.358
-
-
Volume
1.000
1.000
-
-
Location
1.779
0.050
1.470
0.265
cT stage
2.328
< 0.001
1.636
0.087
cN stage
1.550
< 0.001
1.458
0.001
CEA
2.631
< 0.001
2.528
0.003
CA19-9
1.478
0.182
-
-
CA125
0.717
0.484
-
-
Rad-score
3.012
< 0.001
3.148
< 0.001
Table 3 Comparisons of variables and models in the training and validation cohorts
The training set
The validation set
AUC
SEN (%)
SPE (%)
P value
AUC
SEN (%)
SPE (%)
P value
CEA
0.597 (0.533-0.660)
50.00
76.38
< 0.001
0.635 (0.502-0.754)
96.55
40.63
0.042
cT stage
0.613 (0.549-0.675)
84.35
33.86
< 0.001
0.589 (0.456-0.714)
75.86
43.75
0.004
cN stage
0.670 (0.607-0.729)
42.61
84.25
< 0.001
0.684 (0.553-0.797)
86.21
40.63
0.045
Rad-score
0.760 (0.701-0.812)
72.17
69.29
0.020
0.782 (0.658-0.878)
68.97
78.12
0.640
Clinical model
0.718 (0.657-0.774)
63.48
70.08
< 0.001
0.674 (0.542-0.789)
65.52
71.87
0.045
Combined model
0.828 (0.774-0.873)
66.09
88.19
0.801 (0.679-0.892)
62.07
93.75
Table 4 Subgroup analyses of the models in the whole cohort
The clinical model
The combined model
P value
Subgroups
AUC
SEN (%)
SPE (%)
AUC
SEN (%)
SPE (%)
nCRT
With (n = 62)
0.710 (0.581-0.818)
68.00
75.68
0.853 (0.740-0.930)
68.00
89.19
0.011
Without (n = 241)
0.712 (0.650-0.768)
48.74
83.61
0.814 (0.759-0.861)
65.55
87.70
< 0.001
Stage
II (n = 62)
0.553 (0.422-0.680)
21.05
93.02
0.670 (0.538-0.784)
36.84
100.00
0.098
III (n = 193)
0.630 (0.558-0.698)
56.52
69.23
0.796 (0.732-0.851)
73.04
79.49
< 0.001
Citation: Li M, Jin YM, Zhang YC, Zhao YL, Huang CC, Liu SM, Song B. Radiomics for predicting perineural invasion status in rectal cancer. World J Gastroenterol 2021; 27(33): 5610-5621