打破数据孤岛:将DICOM成像标准纳入OMOP CDM,以实现多式联络研究
Woo Yeon Park1, Teri Sippel Schmidt1, Gabriel Salvador1
1Biomedical Informatics and Data Science, Johns Hopkins University, Baltimore, MD 21205, United States.
概括
这项研究将医学数字成像通信 (DICOM) 整合到观察医学结果伙伴关系共同数据模型 (OMOP CDM) 中. 这种标准化使得多式联络研究中的成像数据能够准确地表示.
科学领域:
- 生物医学信息学 生物医学信息学
- 医疗成像医学成像
- 数据标准化数据标准化
背景情况:
- 将医学成像纳入临床研究是一项挑战.
- 医学数字成像通信 (DICOM) 标准包含复杂的元数据.
- 多模式研究需要标准化的成像数据.
研究的目的:
- 将DICOM标准纳入观察医学结果伙伴关系共同数据模型 (OMOP CDM).
- 为了标准化和准确地表示成像研究元数据,包括获取参数.
- 通过使成像数据的一致使用,促进多式联络研究.
主要方法:
- 解析的DICOM词汇库 (第3,6,16部分) 用于结构化元数据定义.
- 将DICOM元数据作为自定义概念添加到OMOP CDM词汇中.
- 使用来自阿尔茨海默病神经成像计划 (ADNI) 磁共振图像的DICOM元数据验证了管道.
主要成果:
- 从DICOM中提取并添加5183个属性和3628个编码值,作为OMOP CDM自定义概念.
- 摄入了545个ADNI成像研究,处理了691,224个元数据值.
- 过,转换,并将DICOM元数据加载到OMOP CDM成像扩展.
结论:
- 开发的方法可以适应临床DICOM数据.
- 这项工作为观测多式联络研究铺平了道路,因为它使详细的表型特征成为可能.
- 未来的工作将重点关注可扩展性和整合自动化分析结果.
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