用户的背景知识和片特征在计算机辅助检测结肠镜中的影响
Jooyoung Lee1, Woo Sang Cho2, Byeong Soo Kim2
1Department of Internal Medicine and Healthcare Research Institute, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Korea.
计算机辅助检测 (CADe) 系统显著提高了在结肠镜检查期间的多重体检测准确度. 然而,CADe辅助的好处对经验较少的用户来说是最明显的,并且可以通过挑战多特征来减少.
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:
- 人体内镜师与计算机辅助检测 (CADe) 系统之间的相互作用对于改善结肠镜检查结果至关重要.
- 用户体验和多体特征显著影响了CADe在临床实践中的有效性.
研究的目的:
- 调查用户体验和多特征如何影响人-CADe交互的性能.
- 根据病原体和检测难度,评估CADe协助在聚检测中的附加值.
主要方法:
- 一个使用YOLOv4的CADe系统被开发并训练在一个大数据集的多体和状状损伤 (SSL) 图像.
- 通过计算机化测试模块评估CADe辅助聚检测的性能,涉及18名具有不同水平结肠镜经验的参与者 (护士,研究员,专家).
- 统计分析,包括赔率比率和置信区间,用于量化CADe协助对检测准确度和灵敏度的影响.
主要成果:
- 在CADe的帮助下,整体的多胞体检测准确度从69.7%提高到77.7% (OR,1.88).
- 对护士来说,CADe的积极影响最为显著 (OR,1.97),对专家来说最不显著 (OR,1.42).
- 虽然CADe增强了腺瘤和轻易的息肉的检测,但它对SSL和难以检测的息肉的敏感性降低了,特别是对于经验较少的用户.
结论:
- 在结肠镜检查过程中,CADe系统可显著提高聚体检测率.
- CADe的有效性是由内镜医生的经验水平调节的,在经验较少的个体中观察到更大的好处.
- 仔细考虑CADe系统在具有挑战性的病变和各种用户专业知识的性能,对于优化其临床实用性至关重要.
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