乳腺癌:基于intravoxel不连贯运动的息地成像,用于预测对新辅助化疗的病理完整反应
Hui Zhang1, Yunyan Zheng2, Mingzhe Zhang2
1Shengli Clinical College of Fujian Medical University & Department of Surgical Oncology, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
Medical physics
|April 12, 2025
概括
息地成像功能与MRI和IHC相结合,可以准确地预测接受新辅助化疗 (NAC) 的乳腺癌患者的治疗反应,帮助个性化治疗决策.
科学领域:
- 医学成像分析分析 医学成像分析
- 在瘤学瘤学.
- 无线电学 (Radiomics) 是一种辐射学.
背景情况:
- 由于特征的生物学意义不清楚,整体瘤放射学缺乏临床解释性.
- 瘤异质性对于理解治疗反应至关重要,但在传统放射学中经常被忽视.
研究的目的:
- 评估从子区域 (息地成像) 的放射特征是否可以预测乳腺癌对新辅助化疗 (NAC) 的反应.
- 通过确定可能从NAC中受益的患者来优化个性化治疗策略.
主要方法:
- 143名患有II-III期乳腺癌的妇女接受了NAC前3-TMRI.
- 放射学模型是使用全瘤特征,基于IVIM的息地成像,常规MRI和IHC构建的,病理完整反应 (pCR) 是黄金标准.
- 组合模型 (例如,息地+CF+IHC) 在使用AUC和DCA的测试组中进行了评估,将它们与侵入性IHC模型进行比较.
主要成果:
- 组合模型,特别是息地+CF+IHC,在测试组中显示出高预测性能 (AUC高达0.909).
- 模型_{息地+CF+IHC}与入侵模型_{IHC} (p=0.043) 相比显示出显著的差异,显示出优越的预测价值.
- 在Model_{IHC}和Model_{Habitats+CF} (p=0.695) 之间没有发现显著差异,这表明息地成像可以补充传统方法.
结论:
- 一个基于息地成像的模型结合了传统的MRI和IHC特征,准确地预测了NAC之前的pCR.
- 这种方法提高了临床解释性,并有助于针对乳腺癌的个性化治疗决策.
- 开发的模型提供了一种非侵入性方法,以优化NAC选择并改善患者的治疗结果.
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