Artificial Intelligence in Assessing Gastric Intestinal Metaplasia Via the EGGIM Score
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 3,000
- 试验地点
- 3
- 主要终点
- Performance of AI system to diagnose the grade of intestinal metaplasia by calculating the EGGIM score
研究概览
简要总结
The endoscopic grading system (EGGIM) has been widely used to assess the extent of gastric intestinal metaplasia during endoscopy. Investigators developed an artificial intelligence (AI) system to automatically evaluate the extent of gastric intestinal metaplasia (GIM) and calculate the EGGIM scores in endoscopy examination. This study is a prospective, multi-center study aimed at exploring the performance and reliability of AI-EGGIM scoring.
This is a prospective study designed to validate the AI-EGGIM system in a larger cohort. The study protocol was developed based on preliminary experience from a prior investigation (NCT05464108).
详细描述
Gastric intestinal metaplasia (GIM) is an important precancerous stage in the gastric carcinogenesis cascade. The endoscopic grading system (EGGIM) has been proposed as a practical method to evaluate the extent of GIM during endoscopy. Investigators developed an artificial intelligence (AI) system to automatically assess the extent of GIM and calculate EGGIM scores from endoscopic examinations. This study is a prospective, multi-center study aimed at evaluating the accuracy, performance, and reliability of AI-assisted EGGIM scoring.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 40 Years 至 75 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •patients aged 40-75 years who undergo the IEE examination
- •patients who voluntarily sign the informed consent form
排除标准
- •patients with severe cardiac, cerebral, pulmonary or renal dysfunction or psychiatric disorders who cannot participate in gastroscopy
- •patients with previous surgical procedures on the stomach
结局指标
主要结局
Performance of AI system to diagnose the grade of intestinal metaplasia by calculating the EGGIM score
时间窗: 1 year
The performance of the AI system will be evaluated in diagnosing the grade of gastric intestinal metaplasia (IM) based on the Endoscopic Grading of Gastric Intestinal Metaplasia (EGGIM) system. EGGIM is a validated scoring method ranging from 0 to 10, reflecting the extent of IM across five gastric regions: two in the antrum, two in the corpus, and one at the incisura. Each region is scored as 0 (no IM), 1 (focal IM, ≤30% of the area), or 2 (extensive IM, \>30% of the area), with a total possible score of 10. Higher EGGIM scores correspond to more severe IM and greater gastric cancer risk. The AI-derived scores will be compared with expert' EGGIM scores, which serve as the gold standard, to assess diagnostic accuracy.
次要结局
未报告次要终点