将细胞外体积分数与明显扩散系数进行比较,以描述乳腺瘤的特征
Xiaoxia Wang1, Lihong Du1, Ying Cao2
1Department of Radiology, Chongqing University Cancer Hospital, Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing 400030, China.
European journal of radiology
|December 30, 2023
概括
双能量CT (DECT) 衍生的细胞外体积 (ECV) 分数显示为乳腺瘤特征的定量成像生物标志物具有前途. 这种方法与组织病理学相关性很好,可以预测瘤亚型和治疗反应.
科学领域:
- 放射学 放射学是一门学科.
- 在瘤学瘤学.
- 医疗成像医学成像
背景情况:
- 乳腺癌的诊断依赖于成像和组织病理学.
- 定量成像生物标志物可以改善瘤特征和治疗反应预测.
- 双能量CT (DECT) 提供了先进的组织特征表征能力.
研究的目的:
- 评估DECT衍生细胞外体积 (ECV) 分数用于乳腺瘤特征的可行性.
- 为了比较ECV分量的诊断性能与表面扩散系数 (ADC).
- 为了验证DECT衍生的ECV分数与他的病理学发现相对应.
主要方法:
- 在使用DECT和MRI的乳腺瘤患者中对ECV分数和ADC的前性评估.
- 对诊断性能进行分析,以预测基因病学亚型和病理完整反应 (pCR).
- 在DECT衍生和基因病理ECV分数之间的相关性分析.
主要成果:
- 在区分良性病变和恶性病变方面,ECV 分数和ADC表现相似.
- 在激素受体和Ki67状态之间观察到ECV分数的显著差异.
- ECV 分数和ADC预测了pCR状态,ECV 分数显示了与本位病理学的正相关性.
结论:
- 由DECT衍生的ECV分数是乳腺瘤的可行的定量成像生物标志物.
- 在预测基因病理亚型和PCR方面,ECV分数有助于预测.
- 从DECT获得的ECV分数与组织病理学发现有很好的相关性.
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