实时计算机辅助检测癌前病变的诊断价值在食道胃管腺镜检查期间:一个元分析
Zong-Yang Li1, Ya-Hui Liu1, Hong-Qiao Cai2
1Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun 130021, Jilin Province, China.
World journal of gastrointestinal surgery
|December 8, 2025
概括
人工智能计算机辅助检测 (AI-CAD) 系统显著提高了在食道胃管腺镜检查 (EGD) 期间检测癌前病变的准确性. 这些人工智能工具提高了诊断性能,帮助内镜医生早期识别上部胃肠道癌症前体.
科学领域:
- 胃肠病学 胃肠病学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 早期发现癌前病变对于降低上胃肠道 (UGI) 癌症发病率和死亡率至关重要.
- 传统内镜在检测这些病变方面存在局限性.
- 实时人工智能增强的计算机辅助检测 (CAD) 系统在检查期间提供即时反,可能提高准确性.
研究的目的:
- 进行对AI-CAD系统在食道胃管腺镜 (EGD) 期间对UGI癌前病变的诊断性能进行元分析.
- 评估AI-CAD系统的临床应用价值.
- 为了指导未来的研究方向在这个领域.
主要方法:
- 在PubMed,EMBASE,Web of Science和Cochrane图书馆进行了全面的文献搜索,截至2025年4月.
- 使用R Studio软件进行了元分析,采用随机效应模型.
- 用小组分析来探索包含的研究中异质性的潜在来源.
主要成果:
- 分析包括10项研究,涉及2113名患者.
- 与单独使用内镜相比,AI-CAD系统在检测癌前病变方面表现优越,聚合灵敏度 (0.89对0.67) 和特异性 (0.89对0.77) 较高.
- 曲线下的面积在AI组 (0.928) 显著高于内镜组 (0.722).
结论:
- 人工智能CAD系统是可靠的工具,可以帮助内镜医生检测UGI癌前病变.
- 这些系统显示出大规模临床应用的巨大潜力,以提高诊断准确性.
- 进一步实施可以提高UGI通道癌症的早期检测率和结果.
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