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©The Author(s) 2022.
World J Gastroenterol. Jun 14, 2022; 28(22): 2457-2467
Published online Jun 14, 2022. doi: 10.3748/wjg.v28.i22.2457
Published online Jun 14, 2022. doi: 10.3748/wjg.v28.i22.2457
Table 5 Comparison of preoperative enhanced ultrasound diagnosis and postoperative pathological diagnosis in patients
| Characteristic (n = 726) | ||
| Gender, male/female | 411/315 | |
| Age (yr), medina (range) | 54.5 (26-85) | |
| Invasion depth of esophageal lesion (n) | EUS diagnosis | Pathological diagnosis |
| Muscularis mucosa/submucosa | 188 | 147 |
| Muscularis propria | 197 | 238 |
| Serosa | 45 | 45 |
| Origin of esophageal lesions (n) | ||
| Muscularis mucosa | 148 | 150 |
| Muscularis propria | 148 | 146 |
- Citation: Liu GS, Huang PY, Wen ML, Zhuang SS, Hua J, He XP. Application of endoscopic ultrasonography for detecting esophageal lesions based on convolutional neural network. World J Gastroenterol 2022; 28(22): 2457-2467
- URL: https://www.wjgnet.com/1007-9327/full/v28/i22/2457.htm
- DOI: https://dx.doi.org/10.3748/wjg.v28.i22.2457