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为精确瘤学利用放射治疗数据:退伍军人事务颗粒式放射治疗信息数据库

Evangelia Katsoulakis^1,2, Cecelia J Madison¹, Rishabh Kapoor³

¹VA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Health Care System, Salt Lake City, UT.

JCO clinical cancer informatics

|February 12, 2025

概括

退伍军人事务国家放射瘤学计划开发了颗粒式放射治疗信息数据库 (GRID),以整合放射治疗数据. 该倡议提高了对癌症治疗模式和结果的理解,改善了研究和数据分析.

科学领域:

在瘤学瘤学.
医疗信息学医疗信息学
数据科学数据科学数据科学

背景情况:

整合放射性瘤学数据与其他临床记录是具有挑战性的,因为不同的软件,数据复杂性,和不一致的编码.
退伍军人事务 (VA) 国家放射性瘤学计划 (NROP) 在整合放射治疗信息以进行研究和分析方面遇到了困难.

研究的目的:

开发和实施颗粒式放射治疗信息数据库 (GRID) 以整合VA的放射治疗数据.
提高对癌症治疗模式,结果的理解,并增强研究能力.

主要方法:

一个回顾性队列分析,使用VA辐射瘤学质量监测计划 (VAROQS) 的数据.
从数字成像和医学传播放射治疗扩展 (DICOM-RT) 文件中提取关键的放射瘤学数据元素.
数据集成到中央数据库中,并转移到VA的企业数据仓库 (CDW) 以与癌症注册和瘤测序数据进行链接.

主要成果:

分析了1568名患者的队列,其中766人拥有DICOM-RT数据.
所有病例的成功链接到CDW;18.8%的VAROQS病例不在现有的VA癌症注册表中.
VAROQS数据提供了精确的治疗细节,通常在癌症注册表中缺失或错误;瘤测序数据可用于~5%的病例.

结论:

根据NROP的GRID倡议,VA放射治疗数据成功地与其他临床数据集集集成.
GRID将成为辐射瘤学数据的重要资源,与临床和基因组信息合并.
这些综合数据将支持大规模的质量保证,研究和科学发现.

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