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在评估乳腺癌中低HER2表达的过程中使用MRI放射学模型

Hao Li¹, Yan Hou¹, Lin-Yan Xue²

¹Department of Radiology, Affiliated Hospital of Hebei University, Hebei Key Laboratory of precise imaging of inflammation-related tumors, No. 212 Eastern Yuhua Road, Baoding City, Hebei Province, 071000, People's Republic of China.

Current medical imaging

|May 10, 2024

概括

磁共振成像 (MRI) 放射学模型有效预测乳腺癌中的人类表皮生长因子受体2 (HER2) 表达. 这些非侵入性模型有助于临床医生制定个性化治疗计划.

科学领域:

放射学放射学是一门学科.
在瘤学瘤学.
医学成像分析医学成像分析

背景情况:

对人类表皮生长因子受体2 (HER2) 表达的准确评估对于乳腺癌治疗决策至关重要.
目前用于确定HER2状态的方法可能是侵入性的和耗时的.

研究的目的:

研究磁共振成像 (MRI) 放射学模型在评估乳腺癌中HER2表达的有效性.
开发一种用于预测HER2状态的非侵入性方法.

主要方法:

对来自161名侵入性导管癌患者的MRI数据的回顾性分析.
使用脂肪抑制T2加权成像 (T2WI),动态对比增强 (DCE) -T1WI和关节序列的放射学模型的开发.
使用T测试和最小绝对收缩和选择运算符 (LASSO) 的特征选择,使用随机森林 (RF) 算法进行分类.

主要成果:

放射学模型证明了HER2表达的预测效率,特别是对于低表达状态.
联合序列模型实现了接收器运行特征曲线 (AUC) 下的最高面积值 (0.84为低,0.73为负,0.66为阳性HER2表达).
DCE-T1WI和T2WI序列模型也显示出显著的预测能力.

结论:

基于MRI的放射学模型为预测乳腺癌中的HER2表达提供了一种有效的非侵入性方法.
这些模型可以作为临床医生制定个性化治疗策略的早期辅助工具.

关键词:

乳腺癌乳腺癌乳腺癌在HER2表达的过程中,这就是为什么MRI是MRI.无线电学 (Radiomics) 是一种无线电学.

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