从维度到动态到结果 - 淋巴结和皮肤评估预测CTCL的结果
Alexander Kaminsky1, Lauren M Fahmy1, Zaid Bilgrami2
1Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Leukemia & lymphoma
|September 21, 2025
概括
在皮肤T细胞淋巴瘤 (CTCL) 中,传统的放射性结节分期是不可靠的. 与传统的尺寸切断相比,体积测量和动态成像指标显著改善了对患者结果的预测.
科学领域:
- 在瘤学瘤学.
- 放射学 放射学是一门学科.
- 医疗成像医学成像
背景情况:
- 目前在CTCL中的放射性节点分期依赖于最长直径 (LDi) 的切断值为1.5厘米,缺乏验证.
- 这种传统方法可能导致患者风险的错误分类,并影响治疗决策.
研究的目的:
- 评估一维,二维和体积淋巴结 (LN) 测量以及mSWAT分数的有效性,用于预测CTCL患者的预后.
- 通过ROC分析和地标识别来确定这些指标的最佳截止值.
- 评估动力建模生长率 (g) 对LN和皮肤分数的预后价值.
主要方法:
- 在MAVORIC试验中,对262名CTCL患者的6,095张CT扫描进行了回顾性分析.
- 使用单维,二维和体积LN测量以及mSWAT得分.
- 计算了动力建模增长率 (g) 并进行了ROC分析以确定最佳切线.
主要成果:
- LDi>1.5厘米并不能预测整体存活时间 (OS).
- 基线体积LN测量 (3,945 mm3) 分层OS (p=0.035),具有基点后分析 (6,930 mm3) 增强歧视.
- 高动力增长率 (g) 独立预测了较短的生存期,无进展生存期 (PFS) 和治疗时间失败 (TTF) (p<0.05).
- 结合体积和增长率的模型显示,与单独体积 (C指数0.60) 相比,预测准确度有所提高 (C指数0.63).
结论:
- 卷度和动态成像指标优于传统措施来预测CTCL患者的结果.
- 建议将这些先进指标纳入分期标准和临床试验设计.
- 这项研究强调了需要在CTCL中更新基于成像的分期.
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