乳腺癌肌瘤的MRI表现及其在预测分子亚型中的作用:一项病例对照研究
Lanyun Wang1, Wenjing Li1, Wenjun Yang1
1Department of Radiology, Minhang Hospital, Fudan University, Shanghai, China.
Current medical imaging
|February 28, 2024
概括
乳腺MRI可以预测乳腺癌 (BC) 结构分布和分子亚型. 特定的MRI特征,如尖端边缘和T2WI低强度,有助于识别亚型,帮助个性化治疗策略.
科学领域:
- 放射学 放射学是一门学科.
- 在瘤学瘤学.
- 病理学 病理学 病理学
背景情况:
- 乳腺癌 (BC) 的流体分布影响瘤的行为和治疗反应.
- 非侵袭性地预测结构分布和分子亚型对于个性化瘤学至关重要.
研究的目的:
- 调查乳腺MRI表现是否可以预测乳腺癌 stromal 分布类型 (SDTs).
- 确定基于MRI的树皮特征在预测BC分子亚型中的作用.
主要方法:
- 在57名侵入性BC患者的回顾性分析中,MRI上出现了结块BC.
- 基于病理学部分的 stromal 分布的分类.
- 将SDT与不同分子亚型的MRI表现进行比较.
主要成果:
- SDT与BC激素受体 (HR) 状态显著相关 (P<0.001).
- 在各种MRI特征中观察到SDT的显著差异,包括T2WI,ADC地图,IDEF,MDEF和TSI曲线.
- 投机利和没有I型STI是恒星电网流体的独立预测因素;这些特征,以及恒星电网流体,是预测HR+BCs (AUC=0.927) 的关键.
结论:
- 乳腺MRI可以有效地预测乳腺癌的 stromal 分布.
- 基于MRI的树皮特征在预测BC分子亚型,特别是HR+BC方面发挥着重要作用.
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