病理学家关于计算机病理学在瘤病理学中的采用障碍和促进者的第一意见:一项国际研究
Julie E M Swillens1, Iris D Nagtegaal2, Sam Engels3
1Scientific Center for Quality of Healthcare (IQ Healthcare), Radboud Institute for Health Sciences (RIHS), Radboud University Medical Centre, Nijmegen, The Netherlands. Julie.Swillens@radboudumc.nl.
Oncogene
|August 16, 2023
概括
计算病理学 (CPath) 在癌症检测中提供了高精度,但面临着采用障碍. 国际病理学家的观点揭示了关于CPath的各种意见.
科学领域:
- 数字病理学和瘤学中的人工智能.
- 计算病理学的翻译研究.
- 医学诊断中的实施科学.
背景情况:
- 计算病理学 (CPath) 算法在分析癌症检测,细分和分类的整个幻灯片图像方面表现出高准确度.
- 尽管算法进步,但重大挑战阻碍了CPath在常规瘤病理学工作流程中的实际实施.
- 了解国际视角对于识别CPath采用的障碍和促进者至关重要.
研究的目的:
- 探索国际观点,以未来的整合CPath在瘤病理学.
- 根据病理学家的经验和意见,识别和分析影响CPath采用障碍和促进者的障碍和促进者.
- 研究影响CPath在临床实践中成功实施的因素.
主要方法:
- 与病理学家进行了一项国际性的探索性电子调查和半结构面试.
- 使用一个实施框架来对CPath采用的潜在影响因素进行分类.
- 数据分析的重点是确定意见的差异和关于障碍和促进者的共同主题.
主要成果:
- 病理学家对CPath的态度,理解和验证要求存在显著差异.
- 确定的主要障碍包括对支持CPath工具的可用证据质量的担忧.
- 促进者主要与CPath的公认优势有关,尽管在验证,工作流集成和教育时间方面缺乏共识.
结论:
- 病理学家之间的不同意见强调了在瘤病理学中采用CPath的各种影响因素.
- 需要进一步进行定量研究,以确定关键的采用因素,并启动可靠的验证研究.
- 未来的验证研究应包括明确的病例描述,并根据分专业化进行同质病理学家小组.
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