Application of an artificial intelligence system for endoscopic diagnosis of superficial esophageal squamous cell carcinoma

doi:10.3748/wjg.v28.i37.5483

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Oct 7, 2022 (publication date) through Apr 18, 2024

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World Journal of Gastroenterology

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1007-9327

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastroenterol. Oct 7, 2022; 28(37): 5483-5493
Published online Oct 7, 2022. doi: 10.3748/wjg.v28.i37.5483

Table 1 Characteristics of subjects and lesions involved in the testing dataset

Characteristics	Values
Cancerous cases (n = 209)
Age (yr), mean ± SD	62.0 ± 7.2
Sex, Male/Female	158/51
Lesion location, Ce/Ut/Mt/Lt/Ae	2/21/172/14/0
Lesion size (cm), median (Q1, Q3)	2.0 (1.2-4.0)
Paris classification, 0-I/IIa/IIb/IIc/IIa+IIc/III	6/43/112/26/20/2
Circumference, < 1/4, 1/4-1/2, 1/2-3/4, > 3/4	117/63/18/11
Depth of invasion, EP-LPM/MM-SM1/SM2	165/38/6
Non-Cancerous cases (n = 114)
Age (yr), mean ± SD	63.2 ± 5.3
Sex, male/female	65/49
Endoscopic diagnosis, GERD/submucosal lesion/normal	23/5/86

SD: Standard deviation; Ce: Cervical esophagus; Ut: Upper thoracic esophagus; Mt: Middle thoracic esophagus; Lt: Lower thoracic esophagus; Ae, Abdominal esophagus; Q1: Lower quartile; Q3: Upper quartile; EP-LPM: Epithelium or lamina propria; MM-SM1: Muscularis mucosa or submucosal invasion < 200 μm; SM2: Submucosal invasion > 200 μm; GERD: Gastroesophageal reflux disease.

Citation: Meng QQ, Gao Y, Lin H, Wang TJ, Zhang YR, Feng J, Li ZS, Xin L, Wang LW. Application of an artificial intelligence system for endoscopic diagnosis of superficial esophageal squamous cell carcinoma. World J Gastroenterol 2022; 28(37): 5483-5493
URL: https://www.wjgnet.com/1007-9327/full/v28/i37/5483.htm
DOI: https://dx.doi.org/10.3748/wjg.v28.i37.5483