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©The Author(s) 2021.
World J Gastroenterol. Jan 21, 2021; 27(3): 281-293
Published online Jan 21, 2021. doi: 10.3748/wjg.v27.i3.281
Published online Jan 21, 2021. doi: 10.3748/wjg.v27.i3.281
Table 2 Diagnostic performance of computer-assisted detection systems vs endoscopists
CAD systems | Endoscopists | |||||
CAD-NBI | CAD-WLI | All, n = 20 | Experienced, n = 4 | Mid-level, n = 8 | Junior, n = 8 | |
Sensitivity, % (95%CI) | 91.0 | 98.5 | 73.9 (68.1-79.7) | 94.7 (85.0-100) | 73.9 (71.9-75.8) | 63.5 (59.7-67.3) |
Specificity, % (95%CI) | 96.7 | 83.1 | 87.7 (84.9-90.5) | 92.8 (81.2-100) | 83.4 (81.1-85.7) | 89.4 (85.0-93.8) |
Accuracy, % (95%CI) | 94.3 | 89.5 | 81.9 (78.9-84.8) | 93.6 (89.1-98.1) | 79.4 (78.3-80.5) | 78.5 (76.6-80.4) |
PPV, % (95%CI) | 95.3 | 80.8 | 81.7 (78.0-85.5) | 91.4 (78.0-100) | 76.5 (74.2-78.8) | 82.2 (76.1-88.2) |
NPV, % (95%CI) | 93.6 | 98.7 | 82.7 (79.2-86.3) | 96.4 (90.1-100) | 81.5 (80.5-82.4) | 77.2 (75.8-78.6) |
- Citation: Li B, Cai SL, Tan WM, Li JC, Yalikong A, Feng XS, Yu HH, Lu PX, Feng Z, Yao LQ, Zhou PH, Yan B, Zhong YS. Comparative study on artificial intelligence systems for detecting early esophageal squamous cell carcinoma between narrow-band and white-light imaging. World J Gastroenterol 2021; 27(3): 281-293
- URL: https://www.wjgnet.com/1007-9327/full/v27/i3/281.htm
- DOI: https://dx.doi.org/10.3748/wjg.v27.i3.281