强大的放射学:医学成像中的放射学指南的审查
Michele Avanzo1, Paolo Soda2, Marco Bertolini3
1Medical Physics Department, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy.
Frontiers in radiology
|January 28, 2026
概括
本综述综合了设计放射学研究的指南. 遵循这些建议可以确保可复制,临床可采用的基于图像的生物标志物用于个性化医疗.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 生物标志物发现发现
背景情况:
- 放射学利用定量医学图像分析和人工智能来创建基于图像的生物标志物.
- 科学协会的现有指导方针旨在提高放射学研究的稳定性.
- 本次审查整合了设计临床适用的放射性生物标志物的建议.
研究的目的:
- 系统地审查和综合现有的指导方针,建议和放射学研究设计的法规.
- 为开发可临床采用的放射性生物标志物提供最佳实践的综合总结.
主要方法:
- 使用关键词"放射学"和"指南"进行系统的PubMed审查,确定了相关的文章.
- 对314篇获取的论文进行选,结果有99篇相关文章用于提取建议.
- 通过作者搜索,确定了其他相关指导方针.
主要成果:
- 高度共识的建议在五个关键领域进行了综合:研究设计,数据工作流,模型开发和验证,透明度和可重复性以及质量和合规性.
- 具体建议包括定义研究的理由,使用标准化的数据工作流程 (例如IBSI指南),防止数据泄露,提高模型的解释性,并通过开放科学实践确保透明度.
- 确定了放射学和人工智能的五个关键准则和法规.
结论:
- 放射学通过提供临床上有用的成像生物标志物,对个性化医学具有重大前景.
- 坚持确定的指导方针对于研究界来说至关重要,以便有效设计和进行放射性研究.
- 本系统性审查为开发适合临床实践的成像生物标志物提供了一份指南.
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