CT 身体组成的变化预测免疫疗法治疗癌症患者的生存率:一项回顾性队列研究
Shlomit Tamir1,2, Hilla Vardi Behar3, Ronen Tal3
1Radiology Department, Rabin Medical Center-Beilinson Hospital, Petah Tikva 49100, Israel.
Cancers
|January 28, 2026
概括
免疫治疗期间骨肌肉和皮下脂肪的减少预测了癌症患者的死亡率. 对身体组成变化的自动CT分析可以帮助治疗决策.
科学领域:
- 在瘤学瘤学.
- 放射学 放射学是一门学科.
- 身体组成分析 身体成分分析
背景情况:
- 计算机断层扫描 (CT) 衍生的身体组成参数在瘤学中具有预后作用.
- 治疗期间的变化可能比基线测量提供更高的预后价值.
- 基于CT的身体组成分析的标准化方法是有限的.
研究的目的:
- 评估CT衍生的身体组成参数纵向变化的预后值.
- 评估免疫疗法治疗患者的身体组成变化和死亡率之间的关联.
- 引入一种用于身体组成分析的新型自动化软件.
主要方法:
- 对376名患有NSCLC,RCC或黑色素瘤的免疫治疗患者进行了回顾性研究.
- 使用自动化软件 (CompoCT) 来进行L3切片选择和细分的基线和后续CT扫描的分析.
- 计算身体成分指数,包括骨肌肉指数 (SMI) 和皮下脂肪指数 (SFI).
主要成果:
- 基线人体成分参数与死亡率的相关性有限;只有较高的SMI具有较弱的保护作用.
- 在SMI (HR=1.17) 和SFI (HR=1.11) 的纵向下降与死亡率的增加密切相关.
- 多变量分析确定了老年,NSCLC和SMI和SFI的相对下降作为死亡率的独立预测因素.
结论:
- 骨肌肉和皮下脂肪的长度下降是免疫疗法治疗患者死亡率的独立预测因素.
- 基于CT的自动化身体成分分析可以提供有价值的预后信息.
- 这些发现可以支持治疗决策和免疫治疗期间的患者监测.
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