与内镜医生相比,结直肠多的计算机辅助诊断:系统性审查和元分析
Satoshi Shinozaki1,2, Jun Watanabe3,4, Takeshi Kanno5,6
1Shinozaki Medical Clinic, Tochigi, Japan.
概括
计算机辅助诊断 (CADx) 在识别结直肠多瘤方面显示出与经验丰富的内镜医生相似的准确性. CADx的性能可与经验丰富和不经验丰富的内镜医生相美,用于预测多重体组织学.
科学领域:
- 胃肠病学 胃肠病学
- 医疗成像医学成像
- 人工智能在医学中的应用
背景情况:
- 结肠直肠癌 (CRC) 是一个重要的全球健康问题.
- 准确的结直肠多的光学诊断对于有效的CRC预防至关重要.
- 计算机辅助诊断 (CADx) 系统是帮助内镜医生的新兴工具.
研究的目的:
- 系统地评估和比较CADx的诊断准确性,用于结肠直肠多组织学.
- 评估CADx性能与经验丰富的内镜师相比.
- 为了比较CADx的性能与经验不足的内镜医生.
主要方法:
- 进行了系统审查和元分析.
- 研究通过搜索MEDLINE,Embase和CENTRAL数据库来确定.
- 一个双变的随机效应模型被用于汇集灵敏度和特异性数据.
主要成果:
- 分析了21项涉及5477个多的研究.
- CADx的灵敏度 (0.87) 和特异性 (0.85) 与经验丰富的内镜师 (灵敏度0.88,特异性0.87) 相似.
- CADx灵敏度 (0.88) 和特异性 (0.84) 也与没有经验的内镜师相比 (灵敏度0.85,特异性0.77).
结论:
- 与内镜医生相比,计算机辅助诊断对结直肠多组织学没有更高的诊断准确性.
- CADx的性能与经验丰富和未经验丰富的内镜医生相似.
- 目前的CADx系统在结直肠多瘤的光学诊断方面没有超过人类的专业知识.
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