先进的内镜成像用于检测巴雷特的食道
Netanel Zilberstein1, Michelle Godbee1, Neal A Mehta1
1Division of Digestive Diseases and Nutrition, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA.
Clinical endoscopy
|January 5, 2024
概括
巴雷特食道 (BE) 监测可以错过早期食道腺癌 (EAC). 应用于内镜的人工智能 (AI) 显示出有前途的方法来改善BE和早期EAC的检测,从而有可能改善患者的治疗结果.
科学领域:
- 胃肠病学 胃肠病学
- 医疗技术 医疗技术 医学技术
- 人工智能的人工智能
背景情况:
- 巴雷特食道 (BE) 是食道腺癌 (EAC) 的前体,由慢性胃食道逆流引起.
- BE可以通过转化成形和发育不良进展到EAC,这是一种预后不佳的癌症,通常在晚期被诊断出来.
- 早期诊断和治疗BE可以预防EAC的进展.
研究的目的:
- 审查人工智能 (AI) 的应用,以提高检测早期食道腺癌 (EAC) 和巴雷特食道 (BE) 的高度发育不良 (HGD).
- 评估AI克服目前西雅图协议对BE监控的局限性的潜力.
主要方法:
- 对人工智能在内镜监测中应用的当前文献的综述.
- 专注于人工智能与高清白光内镜,窄带成像和体积激光内显微镜的整合.
主要成果:
- 目前的监测协议,如西雅图协议有局限性,导致早期EAC和BE相关的HGD的错误诊断.
- 人工智能技术显示出在内镜检查期间检测瘤变化的准确性和一致性的潜力.
- 人工智能可以增强各种内镜成像技术的功能.
结论:
- 人工智能在监视巴雷特食道方面提供了一个有希望的进步.
- 使用人工智能驱动的内镜工具可能会显著提高食道腺癌和高度发育不良的早期检测率.
- 进一步的研究和AI的临床整合是有必要的,以优化BE管理和患者的结果.
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