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使用MRI和美国放射学来区分良性和恶性乳腺结节的应用研究

Yifan Liu¹, Dan Zhou², Jing Liu³

¹Department of Radiology, Chongqing University Fuling Hospital, Chongqing, China.

Frontiers in oncology

|July 31, 2025

概括

结合T2加权成像 (T2WI) 放射性特征和临床数据的新模型有效地区分良性和恶性乳腺结节. 这种方法为改善乳腺癌诊断提供了一种非侵入性方法.

科学领域:

放射学放射学是一门学科.
医疗成像医学成像
在瘤学瘤学.

背景情况:

区分良性和恶性乳腺结节对于有效的患者管理至关重要.
精确的分化可以减少不必要的活检,并改善早期癌症检测.

研究的目的:

开发和验证一个整合临床和放射性特征的模型,以区分良性和恶性乳腺结节.
评估模型的非侵入性诊断性能.

主要方法:

139名患有乳腺疾病的患者接受了MRI (DCE-MRI,DWI,T1WI,T2WI) 和超声波 (US).
在各种成像序列上,从划分的感兴趣区域 (ROI) 中提取了放射性特征.
使用T2WI放射性特征和通过多变量逻辑回归的临床数据构建了一个组合模型.

主要成果:

在T2WI放射性模型中,差异性很高 (AUC 0.950培训,0.871验证).
结合T2WI放射学和临床特征的组合模型实现了卓越的性能 (AUC 0.975培训,0.942验证).
其他放射性模型 (T1WI,DCE,DWI,US) 也表现出歧视能力,但被组合模型所超越.

结论:

使用T2WI放射性特征和临床数据的组合模型表明,在非侵入性地区分良性和恶性乳腺结节方面,具有显著的潜力.
这种综合方法为提高乳腺成像诊断准确度提供了一个有前途的工具.

关键词:

良性和恶性结节.乳房乳房乳房乳房机器学习是机器学习.磁共振成像技术的使用无线电学 (radiomics) 是一种无线电学.超声波超声波是指超声波的使用.

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