在体内评估复杂的息肉与内镜光学连贯性断层扫描和常规结肠镜期间的深度学习:一个可行性研究
Haolin Nie1, Hongbo Luo2, Vladimir Lamm3
1Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA.
Scientific reports
|November 13, 2024
概括
光学连贯断层扫描 (OCT) 是一种安全且可行的工具,用于在结肠镜检查期间评估结肠直肠多. 结合深度学习,OCT提高了识别侵入性癌症的准确性,改善了临床决策.
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:
- 结肠直肠多的标准护理成像在评估入侵深度方面缺乏准确性.
- 目前的白光结肠镜 (WLC) 和窄带成像 (NBI) 等方法对于复杂的息肉是不够的.
研究的目的:
- 评估定制内镜光学连贯断层扫描 (OCT) 探针用于结直肠多评估的可行性和安全性.
- 评估OCT与深度学习模型相结合的准确性,以区分多亚型和入侵深度.
主要方法:
- 一项试点研究招募了接受大结直肠多体内镜治疗的患者.
- 在结肠镜检查期间使用侧视OCT导管捕获治疗前的地下图像.
- 训练了一个深度学习模型,根据OCT图像对病变进行分类,并将结果与组织病理学进行比较.
主要成果:
- OCT成像平均增加了手术时间3分40秒,没有观察到并发症.
- OCT成功地可视化了与组织学发现 (腺瘤,状息肉,癌症) 相关联的明显的地下结构.
- 深度学习模型实现了AUROC的0.984和Cohen的kappa的0.845的病变分类.
结论:
- 内镜OCT是常规结肠镜检查的可行和安全补充,用于测定多.
- 结合OCT和深度学习,在区分良性和恶性结直肠病变方面提供了高准确度.
- 这项技术有可能提高临床医生的信心,并改善决策在管理结肠直肠多.
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