4.1 Article

Quantitative assessment of metabolic tumor burden in molecular subtypes of primary breast cancer with FDG PET/CT

期刊

DIAGNOSTIC AND INTERVENTIONAL RADIOLOGY
卷 24, 期 6, 页码 336-341

出版社

AVES
DOI: 10.5152/dir.2018.17367

关键词

-

资金

  1. China Postdoctoral Science Foundation [2015M571271]
  2. National Natural Science Foundation of China [81202795]

向作者/读者索取更多资源

PURPOSE We aimed to quantitatively evaluate volumetric metabolic tumor burden including metabolic tumor volume and total lesion glycolysis in different molecular subtypes of breast cancer using F-18-fluorodeoxyglucose (FDG) positron emission tomography/ computed tomography (PET/CT). METHODS This study involved 99 female patients with pathologic diagnosis of primary breast cancer, who underwent F-18-FDG PET/CT before any therapy. Patients were divided into subtypes of luminal A, luminal B, ERBB2+, and basal-like based on the immunohistochemistry results. Metabolic tumor volume (MTV) and total lesion glycolysis (TLG) before and after correction for lean body mass were achieved and compared. Correlations between metabolic tumor burden and Ki-67 were analyzed and diagnostic performances of volumetric metabolic parameters were evaluated. RESULTS TLG values were significantly different between each molecular subtype, while MTV values were not. Values of TLG were significantly reduced after normalizing for lean body mass in each subtype. Both of them showed correlations with Ki-67 and presented high diagnostic ability in identifying patients with basal-like breast cancer from the rest. TLGs before and after normalizing for the lean body mass had similar diagnostic performances in differentiating patients of basal-like subtype from the rest. CONCLUSION Metabolic tumor burden could comprehensively reflect tumor metabolic differences of molecular subtypes of breast cancer, and it can serve to help differentiate patients with basal-like breast cancer.

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

4.1
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