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Breast tumor response on dynamic contrast-enhanced MRI after single dose neoadjuvant partial breast irradiation

Can radiomics and machine learning capture the unique differences between invasive lobular and invasive ductal carcinoma of the breast?

Characterization of Sub-centimeter Enhancing Breast Masses on MRI with Radiomics and Machine Learning in BRCA Mutation Carriers

Diagnostic efficiency of DBT compared to conventional MRI and FFDM in diagnosing breast cancer

Diffusion fractional anisotropy in peritumoral edema of triple negative breast cancer

Diffusion tensor distribution imaging of breast tumors: Initial findings

Lipid composition mapping in whole breast tumour using chemical shift encoded imaging

Molecular Effects of Chemotherapeutic Agents on Choline Phospholipid Metabolism of Triple Negative Breast Cancer Cells

Author:Caitlin Tressler  Kanchan Sonkar  Vinay Ayyappan  Menglin Cheng  Kristine Glunde  

Institution:Johns Hopkins University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Cancer Imaging: Therapy Planning, Response & Breast  

Session Name:Cancer Imaging: Breast  

Program Number:4874  

Room Live Q&A Session:

MR-based machine learning radiomics can predict tumor heterogeneity and pathologic response after neoadjuvant therapy in HER2 breast cancer

MRI and PET for staging of axillary lymph nodes in breast cancer at diagnosis

A Pilot Evaluation of Intravoxel Incoherent Motion Imaging Features of Stage T1 HER2-positive breast carcinomas

Prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer using deep learning  method

Author:Yuhong Qu  Haitao Zhu  Kun Cao  Xiaoting Li  Ying-Shi Sun  

Institution:Beijing Cancer Hospital  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Cancer Imaging: Therapy Planning, Response & Breast  

Session Name:Cancer Imaging: Breast  

Program Number:4875  

Room Live Q&A Session:

q-Space imaging is more sensitive to breast tumour cellularity than conventional diffusion-weighted imaging methods at 3T

Radiomics analysis on magnetic resonance diffusion weighted imagefor prediction of Ki-67 expression in breast cancer

Author:Qinglin Wang  Ning Mao  Haizhu Xie  Fengjie Liu  Jingjing Cui  

Institution:Yantai Yuhuangding Hospital  Huiying Medical Technology Co.  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Cancer Imaging: Therapy Planning, Response & Breast  

Session Name:Cancer Imaging: Breast  

Program Number:4879  

Room Live Q&A Session:

Tumor Characteristics of Discordant MRI Imaging and Pathology Following Neoadjuvant Chemotherapy in Non-metastatic Breast Cancer