胃癌风险分层的内镜诊断最近的进展
Takuma Hiramatsu1, Naomi Kakushima1, Hikaru Kuribara1
1Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Clinical endoscopy
|July 9, 2025
概括
杆菌感染导致大多数胃癌 (GC). 人工智能可以改善从内镜和组织病理学发现的风险评估,帮助个性化监测和减少侵入性手术.
科学领域:
- 胃肠病学 胃肠病学
- 在瘤学瘤学.
- 医疗成像医学成像
背景情况:
- 杆菌感染是胃癌的主要原因,约占病例的90%.
- 查食管胃管腺镜对于GC二次预防至关重要,但风险分层依赖于各种内镜和组织病理学发现.
研究的目的:
- 探索人工智能 (AI) 的发展,用于胃癌的风险分层.
- 解决对GC风险的内镜和组织病理学评估中主观变异性的挑战.
主要方法:
- 审查目前的GC风险评估方法,包括内镜分级 (京都分类) 和遗传病理分期 (OLGA/OLGIM).
- 讨论人工智能在提高内镜和组织病理学评估的准确性和一致性的潜力.
主要成果:
- 目前用于GC的风险分层方法,虽然结合了内镜和组织病理学数据,但受观察者之间的变化影响.
- 人工智能证明了更准确和更一致的GC风险分层的潜力,为活检提供了一个不那么侵入性的替代方案.
结论:
- 由于当前方法的局限性和风险,更简单,更不侵入性的GC风险分层方法是可取的.
- 人工智能驱动的风险分层有望通过个性化监测间隔改善患者的治疗结果和经济效益.
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