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Can Machine-Learning-based Radiomics of Whole Tumor on MR Multiparametric Maps Predict the Ki-67 index of Breast Cancer?

Author:Tianwen Xie  Qiufeng Zhao  Caixia Fu  Robert Grimm  Yajia Gu  Weijun Peng  

Institution:Fudan University Shanghai Cancer Center  Longhua Hospital, Shanghai University of Traditional Chinese Medicine  Siemens Healthcare  Siemens Healthcare  Siemens Shenzhen Magnetic Resonance, Shenzhen, China  

Session Type:Oral  

Session Date:Monday, 13 May 2019  

Session Time:16:00  

Session Name:Breast  

Program Number:0285  

Presentation Time:17:36   

Room Number:Room 513D-F  

Computer Number:

Using Radiomics Analysis derived from Multiple MR Series to Differentiate Adenocarcinoma and Squamous cell carcinoma of Cervix

Author:Wei Wang  Yining Jiao  LiChi Zhang  Jianhui Ding  Weijun Peng  Qian Wang  

Institution:Fudan University Shanghai Cancer Center (FUSCC)  Shanghai Jiao Tong University  Shanghai Medical College, Fudan University  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:14:45  

Session Name:Pelvic Malignancies  

Program Number:1803  

Presentation Time:14:45   

Room Number:Exhibition Hall  

Computer Number:Computer 26  

Whole-Tumor Histogram and Textural Analysis of Model-based T2 Mapping for the Ki-67 Labeling Index of Breast Cancer

Author:Tianwen Xie  Qiufeng Zhao  Caixia Fu  Robert Grimm  Tobias Kober  Tom Hilbert  Yajia Gu  Weijun Peng  

Institution:Fudan University Shanghai Cancer Center  Longhua Hospital, Shanghai University of Traditional Chinese Medicine  Siemens Healthcare  Siemens Healthcare  Siemens Healthcare AG Switzerland  Siemens Shenzhen Magnetic Resonance  

Session Type:Digital Poster  

Session Date:Wednesday, 15 May 2019  

Session Time:15:45  

Session Name:Breast: Technical  

Program Number:4125  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 98