Abstract #4603

Radiomics of voxelwise DCE-MRI TIC profiles map enables quantifying temporal and spatial hemodynamic heterogeneity in breast lesions

Zhou Liu¹, Meng Sun², Bingyu Yao², Meng Wang¹, Ya Ren¹, Qian Yang¹, Wei Cui³, Na Zhang², and Dehong Luo¹

¹National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China, ²Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, ³MR Research, GE Healthcare, Beijing, China, Beijing, China

Synopsis

Keywords: Breast, Cancer, Breast cancer; DCE-MRI; Hemodynamic heterogeneity

Motivation: An effective approach that enables simultaneous quantification of spatial and temporal heterogeneity based on DCE-MRI is lacking.

Goal(s): To develop a data-driven model-free approach to quantify spatial and temporal hemodynamic heterogeneity.

Approach: We introduced radiomics analysis based on voxelwise mapping of DCE-MRI time-intensity-curve (TIC) profiles to quantify temporal and spatial hemodynamic heterogeneity and investigated its value in differentiating malignant and benign breast lesions.

Results: Radiomics features and composition ratio of voxelwise TIC profiles showed good performance in differentiating malignant and benign breast lesions.

Impact: We provide a novel data-driven model-free approach for visualizing and quantifying temporal and spatial hemodynamic heterogeneity simultaneously, which shows potential for a variety of clinical implications concerning individualized management of breast lesions.

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