Copyright
©The Author(s) 2020.
World J Gastroenterol. Sep 14, 2020; 26(34): 5156-5168
Published online Sep 14, 2020. doi: 10.3748/wjg.v26.i34.5156
Published online Sep 14, 2020. doi: 10.3748/wjg.v26.i34.5156
Table 1 Statistics of our datasets
CT phase | Number of patients | Number of images | |||||||||
Without cancer cancer | With cancer | Total | Without cancer | With cancer | Total | ||||||
At tail1 | At head | Total | At tail | At head | Total | ||||||
Sets | Plain Scan | 182 | 91 | 123 | 214 | 396 | 1182 | 416 | 496 | 912 | 2094 |
Arterial phase | 179 | 91 | 129 | 220 | 399 | 1282 | 575 | 735 | 1310 | 2592 | |
Venous phase | 178 | 93 | 129 | 222 | 400 | 1287 | 573 | 699 | 1272 | 2559 | |
Total | 539 | 275 | 381 | 656 | 1195 | 3751 | 1564 | 1930 | 3494 | 7245 |
Table 2 Characteristics of study participants
Variables | With pancreatic cancer (n = 222) | Without cancer (n = 190) | Z value | P value |
Age (yr) | 63.8 (8.7) | 61.0 (12.3) | 3.391 | 0.66 |
Gender (male/female) | 124/98 | 98/92 | 0.3852 | 0.54 |
Diagnosis method surgery/biopsy3 | 161/61 | - | - | - |
Tumor location; head and neck/tail and body | 129/63 | - | - | - |
Tumor size4 [median (quartile 1, quartile 3)], cm | 3.5 (2.7-4.3) | - | - | - |
≤ 2 | 29 | - | - | - |
2-4 | 134 | - | - | - |
> 4 | 59 | - | - | - |
Table 3 Performance of the binary classifiers
Plain scan | Arterial phase | Venous phase | χ2 value | P value | |
Accuracy | 0.954747 | 0.957580 | 0.951549 | 0.346 | 0.841 |
Specificity | 0.982710 | 0.975695 | 0.978692 | 0.149 | 0.928 |
Sensitivity | 0.915758 | 0.940808 | 0.922756 | 0.914 | 0.633 |
Table 4 Diagnostic accuracy of the binary classifiers in plain scan: Convolutional neural network vs gastroenterologists and trainees
CNN | Doctors | |||
Gastroenterologists | Trainees | Total | ||
No. of doctors | 10 | 15 | 25 | |
Accuracy | 0.954747 | 0.922 | 0.736 | 0.815 |
Specificity | 0.982710 | 0.923 | 0.725 | 0.847 |
Sensitivity | 0.915758 | 0.921 | 0.792 | 0.809 |
Table 5 Performance of the ternary classifiers
Dataset | Plain scan | Arterial phase | Venous phase | χ2 value | P value |
Accuracy | 0.820568 | 0.790633 | 0.788076 | 1.074 | 0.585 |
Specificity | 0.985721 | 0.984770 | 0.990305 | 0.577 | 0.749 |
Sensitivity (cancer at the tail/body of pancreas) | 0.520122 | 0.411098 | 0.360272 | 1.841 | 0.398 |
Sensitivity (cancer at the head/neck of pancreas) | 0.462148 | 0.852390 | 0.728743 | 16.651 | < 0.001 |
- Citation: Ma H, Liu ZX, Zhang JJ, Wu FT, Xu CF, Shen Z, Yu CH, Li YM. Construction of a convolutional neural network classifier developed by computed tomography images for pancreatic cancer diagnosis. World J Gastroenterol 2020; 26(34): 5156-5168
- URL: https://www.wjgnet.com/1007-9327/full/v26/i34/5156.htm
- DOI: https://dx.doi.org/10.3748/wjg.v26.i34.5156