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基于mpMRI的息地分析,用于预测高度血清性卵巢癌患者的预后:一个多中心研究

Qiu Bi^1,2, Kun Miao³, Yang Liu⁴

¹Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China.

Abdominal radiology (New York)

|May 29, 2025

概括

多参数MRI (mpMRI) 息地分析显示,对预测高度血清性卵巢癌 (HGSOC) 结果有希望. 将息地特征与临床预测因素结合在一起的组合模型显著提高了整体生存和无进展生存的预后准确性.

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:

高度血清性卵巢癌 (HGSOC) 是癌症相关死亡的主要原因.
准确的预后预测对于优化HGSOC患者的治疗策略至关重要.
多参数MRI (mpMRI) 提供了对瘤特征和异质性的详细见解.

研究的目的:

在HGSOC中评估基于mpMRI的息地分析的预后价值.
开发和验证结合息地特征和临床预测因素的预测模型.
为了比较息地模型,临床模型和组合模型的性能.

主要方法:

在四个机构对503名HGSOC患者进行了回顾性分析.
应用K-means集群用于mpMRI voxel细分和息地识别.
放射性特征从息地子区域提取,然后进行特征选择.
开发息地,临床和综合预后模型,用于总生存 (OS) 和无进展生存 (PFS).
使用C指数和时间依赖的接收器运行特征 (ROC) 曲线进行模型性能评估.

主要成果:

结合了mpMRI息地特征和临床预测因素 (例如,新辅助化疗) 的组合模型,与临床或仅息地模型相比,显示出更高的预后性能.
组合模型在内部和外部验证队列中实现了最高的C指数 (OS:0.752,PFS:0.784在内部验证中) 和AUC.
息地模型显示出潜力,但仅仅在现有临床模型上没有显著的表现.

结论:

基于mpMRI的息地分析具有HGSOC预后的潜力,但需要与临床数据集成以获得最佳的预测能力.
结合了内异质性 (息地特征) 和临床预测因素的组合模型,为HGSOC患者提供了更好的预后准确性.
这些发现表明一种新的方法来增强风险分层和个性化治疗HGSOC.

关键词:

息地息地居住地这就是为什么MRI是MRI.卵巢癌是发生在卵巢中的癌症.预测预后预测预测无线电学 (Radiomics) 是一种无线电学.

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