Copyright
©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 |
- 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