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©The Author(s) 2025.
World J Gastroenterol. Apr 7, 2025; 31(13): 104370
Published online Apr 7, 2025. doi: 10.3748/wjg.v31.i13.104370
Published online Apr 7, 2025. doi: 10.3748/wjg.v31.i13.104370
Table 1 Baseline characteristics of patients and lesions, n (%)
Baseline characteristics | n |
Patients | 54 |
Male | 39 (72.2) |
Female | 15 (27.8) |
Age, mean (range), years | 59.3 (38-77) |
Lesions | 67 |
Lesion size, mean, cm | 1.26 |
Location | |
Upper esophagus | 5 |
Middle esophagus | 35 |
Lower esophagus | 27 |
Macroscopic type | |
I | 3 |
0-IIa | 3 |
0-IIb | 58 |
0-IIa + IIc | 3 |
Histological diagnosis | |
Esophageal squamous cell carcinoma | 8 |
HGIN | 9 |
LGIN | 8 |
Inflammatory/hyperplastic lesions | 42 |
Table 2 Diagnostic performance for probe-based confocal laser endomicroscopy videos
Parameter | iCLE, % (95%CI) | Expert, % (95%CI) | NE, % (95%CI) | NE with iCLE, % (95%CI) | P value | Expert vs NE | iCLE vs NE | iCLE vs expert | NE with iCLE vs NE | NE with iCLE vs expert |
Accuracy | 90.9 (88.5-93.3) | 88.2 (85.6-90.9) | 83.6 (80.5-86.7) | 88.6 (86.0-91.2) | 0.026a | < 0.001a | 0.143 | 0.016a | 0.863 | |
Sensitivity | 92.0 (88.4-95.6) | 80.4 (75.2-85.7) | 76.0 (70.4-81.6) | 89.8 (85.8-93.8) | 0.254 | < 0.001a | < 0.001a | < 0.001a | 0.005a | |
Specificity | 90.2 (87.0-93.4) | 93.5 (90.8-96.1) | 88.7 (85.3-92.1) | 87.8 (84.3-91.3) | 0.031a | 0.532 | 0.121 | 0.718 | 0.012a | |
PPV | 86.3 (81.9-90.6) | 89.2 (84.8-93.5) | 81.8 (76.5-87.1) | 83.1 (78.4-87.9) | 0.035a | 0.199 | 0.354 | 0.718 | 0.068 | |
NPV | 94.4 (91.9-96.9) | 87.7 (84.3-91.1) | 84.7 (80.9-88.4) | 92.8 (89.9-95.6) | 0.238 | < 0.001a | 0.003a | 0.001a | 0.028a |
- Citation: Ma T, Liu GQ, Guo J, Ji R, Shao XJ, Li YQ, Li Z, Zuo XL. Artificial intelligence-aided optical biopsy improves the diagnosis of esophageal squamous neoplasm. World J Gastroenterol 2025; 31(13): 104370
- URL: https://www.wjgnet.com/1007-9327/full/v31/i13/104370.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i13.104370