Differentiation between Luminal A and B Molecular Subtypes of Breast Cancer Using Pharmacokinetic Quantitative Parameters with Histogram and Texture Features on Preoperative Dynamic Contrast-Enhanced Magnetic Resonance Imaging
机构:[1]Department of Radiology, Sichuan Cancer Hospital & Institute, School of Medicine, University of Electronic Science and Technology of China, No. 55, 4th Section of South Ren-min Road, Chengdu 610041, China四川省人民医院四川省肿瘤医院
Objective: The aim of the present study was to use pharmacokinetic quantitative parameters with histogram and texture features on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to differentiate between the luminal A and luminal B molecular subtypes of breast cancer. Methods: We retrospectively reviewed the data of 94 patients with histopathologically proven breast cancer. The pharmacokinetic quantitative parameters (K-trans, K-ep, and V-e) with their corresponding histogram and texture features based on preoperative DCE-MRI were obtained. The parameters were compared using the Mann-Whitney U-test between the luminal A and luminal B groups, the human epidermal growth factor receptor-2 (HER2)-positive luminal B and HER2-negative luminal B groups, and the lymph node metastasis (LNM)-positive and LNM-negative groups. Receiver operating characteristic curves were generated for parameters that presented significant between-group differences. Results: The maximum values of K-trans, K-ep, and V-e, and the mean and 90th percentile values of V-e were significantly higher in the luminal B group than in the luminal A group. Among the texture features, only skewness of K-trans significantly differed between the luminal A and B groups. All histogram features of K-trans were higher in the HER2-positive luminal B group than in the HER2-negative luminal B group. However, no parameter differed between the LNM-positive and LNM-negative groups. Conclusion: Pharmacokinetic quantitative parameters with histogram and texture features obtained from DCE-MRI are associated with the molecular subtypes of breast cancer, and may serve as potential imaging biomarkers to differentiate between the luminal A and luminal B molecular subtypes.
基金:
Science and Technology Planning Projects of the Science and Technology Department in Sichuan Province [2017JY0080]; Key R&D Projects of the Science and Technology Department in Sichuan Province [2018SZ0183]; Technological Innovation Research and Development Project of the Science and Technology Department in Chengdu [2018-YF05-01134-SN]
第一作者机构:[1]Department of Radiology, Sichuan Cancer Hospital & Institute, School of Medicine, University of Electronic Science and Technology of China, No. 55, 4th Section of South Ren-min Road, Chengdu 610041, China
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通讯作者:
推荐引用方式(GB/T 7714):
Luo Hong-Bing,Du Ming-Ying,Liu Yuan-Yuan,et al.Differentiation between Luminal A and B Molecular Subtypes of Breast Cancer Using Pharmacokinetic Quantitative Parameters with Histogram and Texture Features on Preoperative Dynamic Contrast-Enhanced Magnetic Resonance Imaging[J].ACADEMIC RADIOLOGY.2020,27(3):E35-E44.doi:10.1016/j.acra.2019.05.002.
APA:
Luo, Hong-Bing,Du, Ming-Ying,Liu, Yuan-Yuan,Wang, Min,Qing, Hao-Miao...&Ren, Jing.(2020).Differentiation between Luminal A and B Molecular Subtypes of Breast Cancer Using Pharmacokinetic Quantitative Parameters with Histogram and Texture Features on Preoperative Dynamic Contrast-Enhanced Magnetic Resonance Imaging.ACADEMIC RADIOLOGY,27,(3)
MLA:
Luo, Hong-Bing,et al."Differentiation between Luminal A and B Molecular Subtypes of Breast Cancer Using Pharmacokinetic Quantitative Parameters with Histogram and Texture Features on Preoperative Dynamic Contrast-Enhanced Magnetic Resonance Imaging".ACADEMIC RADIOLOGY 27..3(2020):E35-E44