Radiogenomics analysis reveals the associations of dynamic contrast-enhanced-MRI features with gene expression characteristics, PAM50 subtypes, and prognosis of breast cancer.

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第一作者： Wenlong,Ming

第一单位： State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.

作者： Wenlong,Ming ^[1] ; Yanhui,Zhu ^[2] ; Yunfei,Bai ^[1] ; Wanjun,Gu ^[1] ; Fuyu,Li ^[3] ; Zixi,Hu ^[1] ; Tiansong,Xia ^[1] ; Zuolei,Dai ^[2] ; Xiafei,Yu ^[4] ; Huamei,Li ^[2] ; Yu,Gu ^[1] ; Shaoxun,Yuan ^[1] ; Rongxin,Zhang ^[1] ; Haitao,Li ^[1] ; Wenyong,Zhu ^[1] ; Jianing,Ding ^[1] ; Xiao,Sun ^[1] ; Yun,Liu ^[1] ; Hongde,Liu ^[4] ; Xiaoan,Liu ^[1]

作者单位： State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China. ^[1] Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. ^[2] Collaborative Innovation Center of Jiangsu Province of Cancer Prevention and Treatment of Chinese Medicine, School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, China. ^[3] Department of Information, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. ^[4]

关键词 DCE-MRI PAM50 subtypes breast cancer machine learning radiogenomics radiomics

DOI 10.3389/fonc.2022.943326

PMID 35965527

发布时间 2022-08-16

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Frontiers in oncology

2022年12卷

943326页

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Radiogenomics analysis reveals the associations of dynamic contrast-enhanced-MRI features with gene expression characteristics, PAM50 subtypes, and prognosis of breast cancer.

Frontiers in oncology

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Frontiers in oncology

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Radiogenomics analysis reveals the associations of dynamic contrast-enhanced-MRI features with gene expression characteristics, PAM50 subtypes, and prognosis of breast cancer.

Frontiers in oncology

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Frontiers in oncology

相关期刊

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