自然语言处理用于识别骨转移的放射治疗前记录的疼痛
Jie Jane Chen1, Jean Feng2, Isabel D Friesner3
1Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, USA.
JNCI cancer spectrum
|February 4, 2026
概括
放射治疗骨转移 (BM) 症状记录在女性和多种族患者中得到改善. 这突显了在技术技术获取方面的潜在差异,需要采取干预措施,以获得公平的护理.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 放射治疗 (RT) 对于管理癌症症状至关重要,特别是与骨转移 (BM) 相关的疼痛.
- 有效的症状记录对于及时和适当的治疗启动至关重要.
- 了解症状报告模式可以揭示护理中的差异.
研究的目的:
- 在BM诊断和BMRT启动之前,以重点关注疼痛的症状文档为特征.
- 确定与接受RT治疗BM的患者疼痛文档相关的人口因素.
- 利用自然语言处理 (NLP) 进行详细的临床数据提取.
主要方法:
- 分析了1061名接受RT治疗BM (2013-2023) 的患者队列.
- 使用NLP技术从临床笔记中提取CTCAE编码的症状,在BM诊断和RT启动30天内进行.
- 后勤回归分析了人口统计和疼痛记录之间的关联.
主要成果:
- 与BM相关的疼痛文档从BM诊断前 (52.5%) 到RT (91.6%) 之前显著增加.
- 与白人患者相比,多种族/其他种族患者在诊断前的疼痛记录下降 (OR=0.61).
- 与男性相比,女性在RT前的疼痛记录增加了 (OR=1.48).
结论:
- 在BM诊断和RT启动之间,在女性和多种族/其他种族患者中观察到疼痛文档的相对增加.
- 这表明基于症状轨迹和人口统计数据的RT决策可能存在差异.
- 需要进行干预,以确保在骨转移方面获得公平的RT.
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