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基于对比度增强的计算机断层扫描的放射性基因组图用于预测尿路膀癌中的HER2状态

Jiao Peng^1,2, Zhen Tang³, Tao Li²

¹Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.

Frontiers in oncology

|August 29, 2024

概括

一个临床放射学模型有效地预测了在尿路膀癌 (UBC) 中的人类表皮生长因子受体2 (HER2) 状态,使用对比增强计算机断层扫描 (CE-CT) 扫描. 这种方法在UBC患者中显示了HER2表达的有希望的诊断性能.

科学领域:

在瘤学瘤学.
放射学放射学是指放射学
医疗成像医学成像

背景情况:

精确评估人体表皮生长因子受体2 (HER2) 状态对于指导尿道膀癌 (UBC) 治疗决策至关重要.
目前用于HER2评估的方法可能是侵入性的和耗时的.
需要使用非侵入性方法来预测UBC中的HER2状态.

研究的目的:

评估使用对比增强计算机断层扫描 (CE-CT) 来预测UBC中的HER2状态的临床放射学模型的性能.
开发和验证基于放射学的HER2表达在UBC患者中的预测模型.

主要方法:

一组124名UBC患者接受了CE-CT扫描.
从CE-CT图像中提取放射性特征,并使用机器学习算法进行分析.
通过将放射性特征与临床数据相结合,构建了一个临床放射学模型.
用接收机操作特征 (ROC) 曲线和决策曲线分析 (DCA) 来评估模型性能.

主要成果:

随机森林放射学模型在测试组中实现了0.814的曲线下的面积 (AUC).
综合临床放射学模型表现出强大的预测性能,在训练组中AUC为0.935,在测试组中为0.857.
临床放射学模型实现了高精度 (0.870训练,0.760测试) 和特异性 (0.854训练,0.900测试).
DCA证实了临床放射学模型的临床实用性和益处.

结论:

开发的临床放射学模型显示了在UBC中非侵入性预测HER2表达的显著潜力.
对CE-CT图像的放射学分析可以帮助评估HER2状态,从而有可能改善UBC患者的治疗策略.

关键词:

在HER2中,HER2是HER2.增强对比度的CT图形扫描仪这个名字是名ogramogram.无线电学 (radiomics) 是一种无线电学.尿路细胞膀癌是什么意思

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