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E-learning system to improve the endoscopic diagnosis of early gastric cancer
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Kenshi Yao, Takashi Yao, Noriya Uedo, Hisashi Doyama, Hideki Ishikawa, Satoshi Nimura, Yuichi Takahashi
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Clin Endosc 2024;57(3):283-292. Published online August 3, 2023
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DOI: https://doi.org/10.5946/ce.2023.087
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 Abstract
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- We developed three e-learning systems for endoscopists to acquire the necessary skills to improve the diagnosis of early gastric cancer (EGC) and demonstrated their usefulness using randomized controlled trials. The subjects of the three e-learning systems were “detection”, “characterization”, and “preoperative assessment”. The contents of each e-learning system included “technique”, “knowledge”, and “obtaining experience”. All e-learning systems proved useful for endoscopists to learn how to diagnose EGC. Lecture videos describing “the technique” and “the knowledge” can be beneficial. In addition, repeating 100 self-study cases allows learners to gain “experience” and improve their diagnostic skills further. Web-based e-learning systems have more advantages than other teaching methods because the number of participants is unlimited. Histopathological diagnosis is the gold standard for the diagnosis of gastric cancer. Therefore, we developed a comprehensive diagnostic algorithm to standardize the histopathological diagnosis of gastric cancer. Once we have successfully shown that this algorithm is helpful for the accurate histopathological diagnosis of cancer, we will complete a series of e-learning systems designed to assess EGC accurately.
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Citations
Citations to this article as recorded by  - Pitfalls in Endoscopic Submucosal Dissection for Early Gastric Cancer with Papillary Adenocarcinoma
Gwang Ha Kim
Gut and Liver.2024; 18(3): 368. CrossRef - Comparing Raman Spectroscopy-Based Artificial Intelligence to High-Definition White Light Endoscopy for Endoscopic Diagnosis of Gastric Neoplasia: A Feasibility Proof-of-Concept Study
Tse Kiat Soong, Guo Wei Kim, Daryl Kai Ann Chia, Jimmy Bok Yan So, Jonathan Wei Jie Lee, Asim Shabbbir, Jeffrey Huey Yew Lum, Gwyneth Shook Ting Soon, Khek Yu Ho
Diagnostics.2024; 14(24): 2839. CrossRef
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Non-atrophic gastric mucosa is an independently associated factor for superficial non-ampullary duodenal epithelial tumors: a multicenter, matched, case-control study
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Azusa Kawasaki, Kunihiro Tsuji, Noriya Uedo, Takashi Kanesaka, Hideaki Miyamoto, Ryosuke Gushima, Yosuke Minoda, Eikichi Ihara, Ryosuke Amano, Kenshi Yao, Yoshihide Naito, Hiroyuki Aoyagi, Takehiro Iwasaki, Kunihisa Uchita, Hisatomi Arima, Hisashi Doyama
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Clin Endosc 2023;56(1):75-82. Published online January 5, 2023
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DOI: https://doi.org/10.5946/ce.2022.059
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Abstract
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- Background
/Aims: The etiology of superficial non-ampullary duodenal epithelial tumors (SNADETs) remains unclear. Recent studies have reported conflicting associations between duodenal tumor development and Helicobacter pylori infection or endoscopic gastric mucosal atrophy. As such, the present study aimed to clarify the relationship between SNADETs and H. pylori infection and/or endoscopic gastric mucosal atrophy.
Methods
This retrospective case-control study reviewed data from 177 consecutive patients with SNADETs who underwent endoscopic or surgical resection at seven institutions in Japan over a three-year period. The prevalence of endoscopic gastric mucosal atrophy and the status of H. pylori infection were compared in 531 sex- and age-matched controls selected from screening endoscopies at two of the seven participating institutions.
Results
For H. pylori infection, 85 of 177 (48.0%) patients exhibited SNADETs and 112 of 531 (21.1%) control patients were non-infected (p<0.001). Non-atrophic mucosa (C0 to C1) was observed in 96 of 177 (54.2%) patients with SNADETs and 112 of 531 (21.1%) control patients (p<0.001). Conditional logistic regression analysis revealed that non-atrophic gastric mucosa was an independent risk factor for SNADETs (odds ratio, 5.10; 95% confidence interval, 2.44–8.40; p<0.001).
Conclusions
Non-atrophic gastric mucosa, regardless of H. pylori infection status, was a factor independently associated with SNADETs.
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