4.6 Article

Quantitative Values from Synthetic MRI Correlate with Breast Cancer Subtypes

期刊

LIFE-BASEL
卷 12, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/life12091307

关键词

magnetic resonance imaging; breast neoplasms; receptors; estrogen; quantitative values

资金

  1. Japan Society for the Promotion of Science KAKENHI [JP19K08131]

向作者/读者索取更多资源

This study aimed to correlate quantitative T1, T2, and proton density (PD) values with breast cancer subtypes using synthetic MRI. The results showed that T2 relaxation time was significantly higher in ER-negative cancers compared to ER-positive cancers. T1, T2, and PD values were strongly positively correlated with Ki-67. Among ER-positive cancers, Luminal A cancers had significantly lower T1, T2, and PD values compared to Luminal B cancers. Synthetic MRI-derived quantitative values show potential for subtyping invasive breast cancers.
The purpose of this study is to correlate quantitative T1, T2, and proton density (PD) values with breast cancer subtypes. Twenty-eight breast cancer patients underwent MRI of the breast including synthetic MRI. T1, T2, and PD values were correlated with Ki-67 and were compared between ER-positive and ER-negative cancers, and between Luminal A and Luminal B cancers. The effectiveness of T1, T2, and PD in differentiating the ER-negative from the ER-positive group and Luminal A from Luminal B cancers was evaluated using receiver operating characteristic analysis. Mean T2 relaxation of ER-negative cancers was significantly higher than that of ER-positive cancers (p < 0.05). The T1, T2, and PD values exhibited a strong positive correlation with Ki-67 (Pearson's r = 0.75, 0.69, and 0.60 respectively; p < 0.001). Among ER-positive cancers, T1, T2, and PD values of Luminal A cancers were significantly lower than those of Luminal B cancers (p < 0.05). The area under the curve (AUC) of T2 for discriminating ER-negative from ER-positive cancers was 0.87 (95% CI: 0.69-0.97). The AUC of T1 for discriminating Luminal A from Luminal B cancers was 0.83 (95% CI: 0.61-0.95). In conclusion, quantitative values derived from synthetic MRI show potential for subtyping of invasive breast cancers.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据