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  

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:

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  

Differentiation Idiopathic Granulomatous Mastitis and Breast Carcinoma: Value of Whole-Lesion Histogram and Texture Analysis Using Quantitative ADC Map

Quantitative dynamic contrast-enhanced MR imaging for prediction of the response to gemcitabine in pancreatic ductal adenocarcinoma: a preliminary study

Author:TANG WEI  Cai-xia Fu  Wei Liu  Wei-jun PENG  

Institution:Fudan University Shanghai Cancer Center  Siemens Healthcare, MR Collaborations NE Asia, Shanghai, China  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:13:45  

Session Name:Pancreas/GI  

Program Number:1664  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 57  

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  

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