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Abstract #4129

Radiomics of Voxel-Wise DCE-MRI Wash-In and Wash-Out Maps Enable Quantitative Assessment of Hemodynamic Heterogeneity within Breast Lesions

Kexin Chen1,2, Ya Ren3, Meng Wang3, Jie Wen3, Binze Han1,2, Wei Cui4, Dehong Luo3, Qian Wan1, Zhou Liu3, and Na Zhang1,5
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Southern University of Science and Technology (SUSTech), Shenzhen, China, 3Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China, 4GE Healthcare, MR Research China, Beijing, China, 5Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, China

Synopsis

Keywords: Diagnosis/Prediction, Radiomics, dynamic contrast-enhanced MRI (DCE-MRI), time-intensity-curve (TIC), Breast cancer, Hemodynamic, Heterogeneity

Motivation: Tumor hemodynamic heterogeneity offers potential for characterizing, diagnosing, and prognosticating breast lesions. Current methods primarily address either spatial morphological heterogeneity or temporal aspects.

Goal(s): This study aims to develop a method that visualizes and quantifies both temporal and spatial hemodynamic heterogeneity simultaneously to enhance breast lesion management.

Approach: We propose generating voxel-wise time-intensity curve (TIC) corresponding wash-in and wash-out parameter maps to visualize the spatial distribution of temporal information. Radiomics is then used to extract features that quantify hemodynamic heterogeneity.

Results: The study successfully demonstrated the clinical utility (AUC = 0.9846) of these quantitative features in differentiating benign from malignant lesions.

Impact: This novel approach provides an intuitive and self-explainable visualization and quantification of spatial and temporal hemodynamic heterogeneity, with potential applications across a broader range of clinical settings.

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Keywords