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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 4 Diagnostic performance of endoscopists in screening of esophagus squamous cell carcinoma after referring to the results from computer-assisted detection-white-light imaging and computer-assisted detection-narrow-band imaging
| Sensitivity, % (95%CI) | Specificity, % (95%CI) | Accuracy, % (95%CI) | PPV, % (95%CI) | NPV, % (95%CI) | |
| All, n = 20 | 92.4 (90.3-94.5) | 96.7 (95.7-97.7) | 94.9 (93.6-96.1) | 95.3 (93.9-96.7) | 94.7 (93.2-96.1) |
| Experienced, n = 4 | 98.5 (96.3-100) | 99.1 (97.5-100) | 98.8 (98.2-99.4) | 98.7 (96.7-100) | 98.9 (97.4-100) |
| Mid-level, n = 8 | 93.2 (91.3-95.1) | 96.0 (94.5-97.6) | 94.8 (93.7-95.9) | 94.5 (92.5-96.6) | 95.2 (93.8-96.5) |
| Junior, n = 8 | 88.5 (86.2-90.8) | 96.1 (94.3-97.9) | 92.9 (91.2-94.6) | 94.3 (91.8-96.8) | 92.0 (90.5-93.6) |
- 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