Copyright
©The Author(s) 2020.
World J Gastroenterol. Jul 7, 2020; 26(25): 3660-3672
Published online Jul 7, 2020. doi: 10.3748/wjg.v26.i25.3660
Published online Jul 7, 2020. doi: 10.3748/wjg.v26.i25.3660
Training set | Test set | P value | ||
Category A: HCC | No. of lesions/No. of patients | 88/79 | 23/22 | |
Age (median [range]) in yr | 49 (24-81) | 49.5 (33-70) | 0.726 | |
Sex (percentage of women) | 6/79 (7.6%) | 5/22 (22.7%) | 0.044 | |
Size of lesion (mean ± SD) in mm | 60.6 ± 36.3 | 63.0 ± 45.4 | 0.789 | |
Histopathologic diagnosis (No. of lesions/No. of patients) | ||||
Surgery | 79/70 | 20/19 | ||
Biopsy | 9/9 | 3/3 | ||
Category B: Metastases | No. of lesions/No. of patients | 89/34 | 23/14 | |
Age (Median [range]) (yr) | 58.5 (23-79) | 58 (23-79) | 0.937 | |
Sex (Percentage of women) | 8/34 (23.5%) | 6/14 (42.9%) | 0.181 | |
Size of lesion (mean ± SD) in mm | 23.0 ± 13.9 | 22.7 ± 11.5 | 0.937 | |
Primary tumors (No. of lesions/No. of patients) | ||||
Colorectal cancer | 40/20 | 10/6 | ||
Gastric carcinoma | 13/3 | 3/2 | ||
Breast cancer | 2/1 | 0/0 | ||
Lung cancer | 14/4 | 4/2 | ||
Thyroid cancer | 16/4 | 4/2 | ||
Malignant jejunal stromal tumor | 2/1 | 1/1 | ||
Duodenal papillary carcinoma | 0/0 | 1/1 | ||
Laryngocarcinoma | 2/1 | 0/0 | ||
Category C: Benign non-inflammatory FLLs | No. of lesions/No. of patients | 128/97 | 34/32 | |
Age (median [range]) in yr | 34 (17-82) | 34 (10-74) | 0.729 | |
Sex (percentage of women) | 52/97 (53.6%) | 16/32 (50.0%) | 0.723 | |
Size of lesion (mean ± SD) in mm | 41.9 ± 30.5 | 52.9 ± 28.4 | 0.060 | |
Histological type (No. of lesions/No. of patients) | ||||
Hemangioma | 55/35 | 15/15 | ||
FNH | 67/58 | 17/15 | ||
Adenoma | 6/4 | 2/2 | ||
Category D: Hepatic abscesses | No. of lesions/No. of patients | 105/77 | 27/20 | |
Age (median [range]) in yr | 54 (4-82) | 55 (25-82) | 0.936 | |
Sex (percentage of women) | 24/77 (31.2%) | 7/20 (35.0%) | 0.743 | |
Size of lesion (mean ± SD) in mm | 64.5 ± 34.9 | 63.8 ± 24.2 | 0.916 |
Ground truth | Positive predictive value | |||||
Benign | Metastases | HCCs | Hepatic abscesses | |||
non-inflammatory FLLs | ||||||
Prediction | Benign non-inflammatory FLLs | 25 | 0 | 4 | 2 | 0.806 |
Metastases | 3 | 23 | 2 | 3 | 0.742 | |
HCCs | 3 | 0 | 17 | 0 | 0.85 | |
Hepatic abscesses | 3 | 0 | 0 | 22 | 0.88 | |
Sensitivity | 0.735 | 1 | 0.739 | 0.815 | ||
Specificity | 0.918 | 0.905 | 0.964 | 0.963 | ||
Accuracy | 0.86 | 0.925 | 0.916 | 0.925 | ||
Mean accuracy | 0.813 |
Policy | HCCs (AUC [95%CI]/P value) | Metastases (AUC [95%CI]/P value) | Benign non-inflammatory (AUC [95%CI]/P value) | Hepatic Abscesses (AUC [95%CI]/P value) |
PP + AP + PVP + DP | 0.92 (0.837-0.992) | 0.99 (0.967-1.00) | 0.88 (0.795-0.955) | 0.96 (0.914-0.996) |
AP + AP + PVP + DP | 0.820 (0.705-0.905)/0.0699 | 0.901 (0.805- 0.960)/0.0289 | 0.893 (0.809-0.949)/0.2502 | 0.924 (0.823-0.977)/0.3387 |
PP + PVP + PVP + DP | 0.704 (0.565-0.821)/0.0017 | 0.930 (0.832- 0.981)/0.2573 | 0.799 (0.701- 0.877)/0.0924 | 0.938 (0.846-0.984)/0.4317 |
PP + AP + AP + DP | 0.768 (0.643-0.866)/0.0013 | 0.833 (0.714 -0.916)/0.0120 | 0.864 (0.774-0.929)/0.9720 | 0.935 (0.846-0.981)/0.4047 |
PP + AP+ PVP + PVP | 0.911 (0.815-0.967)/0.6404 | 0.959 (0.882- 0.992)/0.4066 | 0.913 (0.832-0.963)/0.7877 | 0.831 (00.716- 0.914)/0.0184 |
PP + AP + AP + AP | 0.672 (0.542-0.785)/< 0.0001 | 0.758 (0.692- 0.909)/0.0079 | 0.863 (0.773-0.927)/0.3188 | 0.806 (0.690- 0.893)/0.0475 |
PP + PVP + PVP + PVP | 0.721 (0.584-0.834)/0.0019 | 0.913 (0.807-0.972)/0.1165 | 0.775 (0.675-0.857)/ 0.0247 | 0.900 (0.796- 0.962)/0.7491 |
PP + DP+ DP+ DP | 0.652 (0.513-0.774)/0.0002 | 0.818 (0.692-0.909)/0.0079 | 0.790 (0.688-0.870)/0.0356 | 0.904 (0.802-0.964)/0.7911 |
AP + AP + AP + AP | 0.573 (0.443- 0.696)/< 0.0001 | 0.674 (0.548-0.785)/< 0.0001 | 0.833 (0.739- 0.904)/0.3375 | 0.697 (0.567- 0.807)/0.0019 |
PVP + PVP + PVP+ PVP | 0.697 (0.554-0.817)/0.0029 | 0.859 (0.748- 0.934)/0.0101 | 0.794 (0.693- 0.874)/0.1144 | 0.782 (0.650-0.882)/0.0278 |
DP + DP + DP + DP | 0.697 (0.562- 0.811)/0.0007 | 0.787 (0.666- 0.880)/0.0008 | 0.751 (0.646-0.838)/0.0387 | 0.873 (0.760-0.946)/0.1805 |
- Citation: Cao SE, Zhang LQ, Kuang SC, Shi WQ, Hu B, Xie SD, Chen YN, Liu H, Chen SM, Jiang T, Ye M, Zhang HX, Wang J. Multiphase convolutional dense network for the classification of focal liver lesions on dynamic contrast-enhanced computed tomography. World J Gastroenterol 2020; 26(25): 3660-3672
- URL: https://www.wjgnet.com/1007-9327/full/v26/i25/3660.htm
- DOI: https://dx.doi.org/10.3748/wjg.v26.i25.3660