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A radiomics approach to assess tumor-stromal ratio and predict treatment response to neoadjuvant chemoradiotherapy in rectal cancer: a preliminary study

Author:Tingdan Hu  Tong Tong  Dan Huang  Jun Yang  

Institution:Fudan University Shanghai Cancer Center  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:14:45  

Session Name:Pelvic Malignancies  

Program Number:1814  

Presentation Time:14:45   

Room Number:Exhibition Hall  

Computer Number:Computer 37  

Assessment of the Prognostic Factors for Rectal Cancer Treated with Neoadjuvant Chemoradiation: Utilizing Whole-Tumor Histogram Analysis of Diffusion Kurtosis Imaging

Author:Sun Yiqun  Tong Tong  Fu Caixia  Yan Xu  Peng Weijun  Gu Yajia  

Institution:Fudan University Shanghai Cancer Center  MR Applications Development, Siemens Shenzhen Magnetic Resonance Ltd.  MR Collaboration NE Asia, Siemens Healthcare  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:14:45  

Session Name:Pelvic Malignancies  

Program Number:1809  

Presentation Time:14:45   

Room Number:Exhibition Hall  

Computer Number:Computer 32  

Could Whole-Tumor Histogram and Texture Analysis of conventional DWI and DKI Identify Histologically Features of Rectal Cancer? A Preliminary Study

Author:Sun Yiqun  Tong Tong  Fu Caixia  Xin Chao  Cai Sanjun  Yan Xu  Peng Weijun  Gu Yajia  

Institution:Application development, Siemens Shenzhen Magnetic Resonance Ltd  Fudan University Shanghai Cancer Center  MR Scientific Marketing, Siemens Healthcare  

Session Type:Digital Poster  

Session Date:Wednesday, 15 May 2019  

Session Time:15:45  

Session Name:Pelvis: Rounding Out the Bottom  

Program Number:4045  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 16  

Whole-Tumor Histogram Analysis of Diffusion Kurtosis Imaging as A Predictive Biomarker of Tumor Response in Locally Advanced Rectal Cancer Treated with Neoadjuvant Chemoradiation

Author:Sun Yiqun  Tong Tong  Fu Caixia  Yan Xu  Peng Weijun  Gu Yajia  

Institution:Fudan University Shanghai Cancer Center  MR Application Development, Siemens Shenzhen Magnetic Resonance Ltd.  MR Collaboration NE Asia, Siemens Healthcare  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:14:45  

Session Name:Pelvic Malignancies  

Program Number:1810  

Presentation Time:14:45   

Room Number:Exhibition Hall  

Computer Number:Computer 33