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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 1 Patient and lesion characteristics in the validation image set
Patient characteristics, n = 112 | Value |
Median age, yr (range) | 59 (19-86) |
Sex, male/female | 67/45 |
Lesion characteristics, n = 42 | |
Median size, mm (range) | 23 (9-42) |
Location, Ce/Ut/Mt/Lt/Ae | 0/3/24/15/0 |
Pathological diagnosis | |
LGIN/HGIN | 6/18 |
Cancer, M/SM1 | 15/3 |
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) |
Table 3 Comparison of the improvement of endoscopists under computer-assisted detection-white-light imaging and computer-assisted detection-narrow-band imaging
2nd phase CAD-WLI assistance | 3rd phase CAD-NBI assistance | P value | |
Sensitivity, % (95%CI) | |||
All, n = 20 | 86.4 (83.1-89.6) | 83.1 (79.6-86.6) | 0.162 |
Experienced, n = 4 | 96.8 (94.4-99.2) | 95.7 (91.8-99.5) | 0.454 |
Mid-level, n = 8 | 84.5 (80.0-89.0) | 82.6 (79.4-85.9) | 0.435 |
Junior, n = 8 | 83.0 (79.3-86.6) | 77.3 (74.9-79.7) | 0.008 |
Specificity, % (95%CI) | |||
All, n = 20 | 88.7 (86.5-90.8) | 94.4 (93.0-95.8) | 0.000 |
Experienced, n = 4 | 94.5 (87.9-100) | 97.2 (93.6-100) | 0.310 |
Mid-level, n = 8 | 85.9 (84.3-87.4) | 92.6 (90.7-94.5) | 0.000 |
Junior, n = 8 | 88.6 (85.1-92.1) | 94.9 (92.5-97.2) | 0.003 |
Accuracy, % (95%CI) | |||
All, n = 20 | 87.7 (85.5-89.9) | 89.7 (87.8-91.5) | 0.156 |
Experienced, n = 4 | 95.5 (92.4-98.6) | 96.5 (93.6-99.4) | 0.469 |
Mid-level, n = 8 | 85.3 (83.1-87.5) | 88.4 (87.1-89.7) | 0.012 |
Junior, n = 8 | 86.2 (84.2-88.3) | 87.5 (86.0-89.0) | 0.261 |
PPV, % (95%CI) | |||
All, n = 20 | 84.9 (82.2-87.5) | 91.6 (89.7-93.6) | 0.000 |
Experienced, n = 4 | 93.0 (85.1-100) | 96.1 (91.4-100) | 0.325 |
Mid-level, n = 8 | 81.3 (79.4-83.2) | 89.2 (86.7-91.7) | 0.000 |
Junior, n = 8 | 84.4 (80.5-88.2) | 91.8 (88.4-95.2) | 0.004 |
NPV, % (95%CI) | |||
All, n = 20 | 90.1 (87.9-92.3) | 88.7 (86.5-90.9) | 0.361 |
Experienced, n = 4 | 97.7 (96.0-99.3) | 96.9 (94.2-99.6) | 0.465 |
Mid-level, n = 8 | 88.5 (85.6-91.4) | 88.1 (86.2-89.9) | 0.755 |
Junior, n = 8 | 87.8 (85.6-90.1) | 85.2 (83.9-86.5) | 0.031 |
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